Publications: Anima Anandkumar

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  • Affiliation: None
  • Author ID: 2047844
  • Total Publications: 287

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Title Year Citations Score
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
Neural Information Processing Systems, 2021
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2021 7522 100.0%
Scientific discovery in the age of artificial intelligence
Nature, 2023
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2023 1434 100.0%
Fourier Neural Operator for Parametric Partial Differential Equations
International Conference on Learning Representations, 2020
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2020 3624 100.0%
Neural Operator: Learning Maps Between Function Spaces With Applications to PDEs
Journal of machine learning research, 2023
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2023 973 100.0%
FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators
arXiv.org, 2022
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2022 1056 100.0%
Diffusion Models for Adversarial Purification
International Conference on Machine Learning, 2022
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2022 627 100.0%
signSGD: compressed optimisation for non-convex problems
International Conference on Machine Learning, 2018
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2018 1221 100.0%
Born Again Neural Networks
International Conference on Machine Learning, 2018
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2018 1165 100.0%
Physics-Informed Neural Operator for Learning Partial Differential Equations
ACM / IMS Journal of Data Science, 2021
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2021 675 100.0%
Fourier Neural Operator with Learned Deformations for PDEs on General Geometries
Journal of machine learning research, 2022
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2022 491 100.0%
LeanDojo: Theorem Proving with Retrieval-Augmented Language Models
Neural Information Processing Systems, 2023
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2023 376 100.0%
Neural Operator: Graph Kernel Network for Partial Differential Equations
International Conference on Learning Representations, 2020
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2020 961 100.0%
U-FNO - an enhanced Fourier neural operator based-deep learning model for multiphase flow
Advances in Water Resources, 2021
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2021 571 99.9%
Tensor decompositions for learning latent variable models
Journal of machine learning research, 2012
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2012 1194 99.9%
Neural operators for accelerating scientific simulations and design
Nature Reviews Physics, 2023
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2023 297 99.9%
Geometry-Informed Neural Operator for Large-Scale 3D PDEs
Neural Information Processing Systems, 2023
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2023 278 99.9%
FourCastNet: Accelerating Global High-Resolution Weather Forecasting Using Adaptive Fourier Neural Operators
Platform for Advanced Scientific Computing Conference, 2022
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2022 322 99.9%
Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere
International Conference on Machine Learning, 2023
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2023 262 99.9%
I2SB: Image-to-Image Schrödinger Bridge
International Conference on Machine Learning, 2023
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2023 238 99.9%
Neural-Fly enables rapid learning for agile flight in strong winds
Science Robotics, 2022
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2022 262 99.9%
Stochastic Activation Pruning for Robust Adversarial Defense
International Conference on Learning Representations, 2018
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2018 577 99.9%
Multi-modal molecule structure–text model for text-based retrieval and editing
Nature Machine Intelligence, 2022
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2022 249 99.9%
Multipole Graph Neural Operator for Parametric Partial Differential Equations
Neural Information Processing Systems, 2020
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2020 486 99.8%
Understanding The Robustness in Vision Transformers
International Conference on Machine Learning, 2022
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2022 237 99.8%
Deep Active Learning for Named Entity Recognition
Rep4NLP@ACL, 2017
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2017 474 99.8%
Self-Calibrating Neural Radiance Fields
IEEE International Conference on Computer Vision, 2021
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2021 273 99.8%
Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems
Found. Trends Mach. Learn., 2023
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2023 152 99.8%
Fast Sampling of Diffusion Models via Operator Learning
International Conference on Machine Learning, 2022
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2022 190 99.7%
Fast Training of Diffusion Models with Masked Transformers
Trans. Mach. Learn. Res., 2023
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2023 148 99.7%
Neural Lander: Stable Drone Landing Control Using Learned Dynamics
IEEE International Conference on Robotics and Automation, 2018
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2018 324 99.6%
State-specific protein–ligand complex structure prediction with a multiscale deep generative model
Nature Machine Intelligence, 2022
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2022 149 99.6%
signSGD with Majority Vote is Communication Efficient and Fault Tolerant
International Conference on Learning Representations, 2018
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2018 286 99.5%
Real-time High-resolution CO2 Geological Storage Prediction using Nested Fourier Neural Operators
Energy & Environmental Science, 2022
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2022 136 99.5%
A Method of Moments for Mixture Models and Hidden Markov Models
Annual Conference Computational Learning Theory, 2012
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2012 346 99.4%
Long-Short Transformer: Efficient Transformers for Language and Vision
Neural Information Processing Systems, 2021
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2021 166 99.4%
GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics
bioRxiv, 2022
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2022 123 99.4%
Non-convex Robust PCA
Neural Information Processing Systems, 2014
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2014 295 99.4%
Tensor Methods in Computer Vision and Deep Learning
Proceedings of the IEEE, 2021
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2021 161 99.4%
Regularized Learning for Domain Adaptation under Label Shifts
International Conference on Learning Representations, 2019
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2019 221 99.4%
Beating the Perils of Non-Convexity: Guaranteed Training of Neural Networks using Tensor Methods
2017
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2017 243 99.3%
A Spectral Algorithm for Latent Dirichlet Allocation
Algorithmica, 2012
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2012 304 99.3%
Distributed Algorithms for Learning and Cognitive Medium Access with Logarithmic Regret
IEEE Journal on Selected Areas in Communications, 2010
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2010 355 99.2%
Efficient Token Mixing for Transformers via Adaptive Fourier Neural Operators
International Conference on Learning Representations, 2022
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2022 107 99.2%
Score-based Diffusion Models in Function Space
arXiv.org, 2023
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2023 80 99.1%
Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study
Conference on Empirical Methods in Natural Language Processing, 2023
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2023 79 99.1%
MESHFREEFLOWNET: A Physics-Constrained Deep Continuous Space-Time Super-Resolution Framework
International Conference for High Performance Computing, Networking, Storage and Analysis, 2020
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2020 161 98.9%
Efficient Exploration Through Bayesian Deep Q-Networks
Information Theory and Applications Workshop, 2018
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2018 174 98.9%
AdvDO: Realistic Adversarial Attacks for Trajectory Prediction
European Conference on Computer Vision, 2022
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2022 89 98.8%
Learning Latent Tree Graphical Models
Journal of machine learning research, 2010
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2010 273 98.8%
Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models
Neural Information Processing Systems, 2022
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2022 83 98.7%
Learning From Noisy Singly-labeled Data
International Conference on Learning Representations, 2017
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2017 170 98.7%
Tensor Regression Networks
Journal of machine learning research, 2017
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2017 167 98.6%
Probabilistic FastText for Multi-Sense Word Embeddings
Annual Meeting of the Association for Computational Linguistics, 2018
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2018 154 98.6%
Controllable Story Generation with External Knowledge Using Large-Scale Language Models
Conference on Empirical Methods in Natural Language Processing, 2020
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2020 137 98.6%
Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds
Neural Information Processing Systems, 2021
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2021 96 98.3%
DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision
IEEE International Conference on Computer Vision, 2021
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2021 93 98.3%
Informing geometric deep learning with electronic interactions to accelerate quantum chemistry
Proceedings of the National Academy of Sciences of the United States of America, 2021
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2021 93 98.3%
Long-term Forecasting using Tensor-Train RNNs
arXiv.org, 2017
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2017 142 98.2%
Efficient approaches for escaping higher order saddle points in non-convex optimization
Annual Conference Computational Learning Theory, 2016
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2016 144 98.2%
Reinforcement Learning of POMDPs using Spectral Methods
Annual Conference Computational Learning Theory, 2016
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2016 141 98.1%
Controllable and Compositional Generation with Latent-Space Energy-Based Models
Neural Information Processing Systems, 2021
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2021 86 98.0%
A tensor approach to learning mixed membership community models
Journal of machine learning research, 2013
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2013 159 98.0%
Competitive Gradient Descent
Neural Information Processing Systems, 2019
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2019 113 97.9%
OrbNet Denali: A machine learning potential for biological and organic chemistry with semi-empirical cost and DFT accuracy.
Journal of Chemical Physics, 2021
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2021 83 97.9%
Opportunistic Spectrum Access with Multiple Users: Learning under Competition
2010 Proceedings IEEE INFOCOM, 2010
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2010 186 97.8%
A learning-based multiscale method and its application to inelastic impact problems
2021
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2021 79 97.7%
Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems
Neural Information Processing Systems, 2020
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2020 101 97.7%
Fast and Guaranteed Tensor Decomposition via Sketching
Neural Information Processing Systems, 2015
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2015 132 97.7%
Guaranteed Non-Orthogonal Tensor Decomposition via Alternating Rank-1 Updates
arXiv.org, 2014
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2014 137 97.6%
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies
International Conference on Machine Learning, 2021
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2021 72 97.3%
Generative Adversarial Neural Operators
Trans. Mach. Learn. Res., 2022
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2022 55 97.2%
DensePure: Understanding Diffusion Models for Adversarial Robustness
International Conference on Learning Representations, 2023
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2023 43 97.2%
AI-aided geometric design of anti-infection catheters.
Science Advances, 2023
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2023 43 97.2%
Deep learning-based computer vision to recognize and classify suturing gestures in robot-assisted surgery
Surgery, 2020
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2020 88 97.1%
Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials
Neural Information Processing Systems, 2023
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2023 41 96.9%
A Tensor Spectral Approach to Learning Mixed Membership Community Models
Annual Conference Computational Learning Theory, 2013
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2013 121 96.8%
Learning Sparsely Used Overcomplete Dictionaries
Annual Conference Computational Learning Theory, 2014
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2014 110 96.6%
Long-term Forecasting using Higher Order Tensor RNNs
2017
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2017 95 96.5%
Retrieval-based Controllable Molecule Generation
International Conference on Learning Representations, 2022
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2022 49 96.5%
DensePure: Understanding Diffusion Models towards Adversarial Robustness
arXiv.org, 2022
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2022 49 96.5%
Semi-Supervised StyleGAN for Disentanglement Learning
International Conference on Machine Learning, 2020
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2020 78 96.5%
Automated Synthetic-to-Real Generalization
International Conference on Machine Learning, 2020
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2020 72 96.0%
Learning Chaotic Dynamics in Dissipative Systems
Neural Information Processing Systems, 2022
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2022 45 95.9%
Stability Constrained Reinforcement Learning for Real-Time Voltage Control
American Control Conference, 2021
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2021 56 95.8%
Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo
International Conference on Learning Representations, 2023
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2023 33 95.5%
Learning Linear Bayesian Networks with Latent Variables
International Conference on Machine Learning, 2012
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2012 102 95.5%
Tensor Contractions with Extended BLAS Kernels on CPU and GPU
International Conference on High Performance Computing, 2016
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2016 81 95.3%
Tensor vs. Matrix Methods: Robust Tensor Decomposition under Block Sparse Perturbations
International Conference on Artificial Intelligence and Statistics, 2015
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2015 86 95.3%
Robust Trajectory Prediction against Adversarial Attacks
Conference on Robot Learning, 2022
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2022 41 95.2%
Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles
2021 IEEE Intelligent Vehicles Symposium (IV), 2021
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2021 51 95.1%
Contrastive Syn-to-Real Generalization
International Conference on Learning Representations, 2021
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2021 51 95.1%
Generic Lithography Modeling with Dual-band Optics-Inspired Neural Networks
Design Automation Conference, 2022
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2022 40 95.0%
Active Learning with Partial Feedback
International Conference on Learning Representations, 2018
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2018 70 95.0%
Learning Dissipative Dynamics in Chaotic Systems
2021
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2021 50 94.9%
Robust Regression for Safe Exploration in Control
Conference on Learning for Dynamics & Control, 2019
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2019 64 94.8%
Turbulence forecasting via Neural ODE.
2019
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2019 64 94.8%
Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection
International Conference on Machine Learning, 2021
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2021 47 94.4%
High-dimensional Gaussian graphical model selection: walk summability and local separation criterion
Journal of machine learning research, 2011
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2011 93 94.2%
Stability Constrained Reinforcement Learning for Decentralized Real-Time Voltage Control
IEEE Transactions on Control of Network Systems, 2022
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2022 36 94.1%
Fourier Neural Operator for Plasma Modelling
2023
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2023 28 94.1%
Chance-Constrained Trajectory Optimization for Safe Exploration and Learning of Nonlinear Systems
IEEE Robotics Autom. Lett., 2020
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2020 55 94.0%
Learning Causal State Representations of Partially Observable Environments
arXiv.org, 2019
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2019 58 93.9%
Sample Complexity Analysis for Learning Overcomplete Latent Variable Models through Tensor Methods
2017
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2017 66 93.9%
Two SVDs Suffice: Spectral decompositions for probabilistic topic modeling and latent Dirichlet allocation
Neural Information Processing Systems, 2012
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2012 83 93.9%
Angular Visual Hardness
International Conference on Machine Learning, 2019
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2019 57 93.8%
Langevin Monte Carlo for Contextual Bandits
International Conference on Machine Learning, 2022
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2022 34 93.5%
Tensor Contraction Layers for Parsimonious Deep Nets
2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2017
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2017 62 93.3%
Provable Methods for Training Neural Networks with Sparse Connectivity
International Conference on Learning Representations, 2014
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2014 65 92.6%
Markov Neural Operators for Learning Chaotic Systems
arXiv.org, 2021
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2021 39 92.6%
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning
International Conference on Machine Learning, 2021
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2021 38 92.3%
Dynamic-Backbone Protein-Ligand Structure Prediction with Multiscale Generative Diffusion Models
arXiv.org, 2022
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2022 30 92.1%
Neural Networks with Recurrent Generative Feedback
Neural Information Processing Systems, 2020
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2020 45 92.0%
Supplementary Material for the AISTATS 2016 Paper: Provable Tensor Methods for Learning Mixtures of Generalized Linear Models
2016
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2016 55 91.8%
Spectral Learning on Matrices and Tensors
Found. Trends Mach. Learn., 2019
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2019 47 91.8%
Open Vocabulary Learning on Source Code with a Graph-Structured Cache
International Conference on Machine Learning, 2018
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2018 50 91.8%
Question Type Guided Attention in Visual Question Answering
European Conference on Computer Vision, 2018
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2018 50 91.8%
signSGD with Majority Vote is Communication Efficient And Byzantine Fault Tolerant
arXiv.org, 2018
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2018 50 91.8%
Exact Recovery of Sparsely Used Overcomplete Dictionaries
arXiv.org, 2013
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2013 59 91.0%
UNiTE: Unitary N-body Tensor Equivariant Network with Applications to Quantum Chemistry
arXiv.org, 2021
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2021 34 90.9%
Reinforcement Learning with Fast Stabilization in Linear Dynamical Systems
International Conference on Artificial Intelligence and Statistics, 2020
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2020 41 90.8%
Explore More and Improve Regret in Linear Quadratic Regulators
arXiv.org, 2020
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2020 41 90.8%
Fast Detection of Overlapping Communities via Online Tensor Methods on GPUs
arXiv.org, 2013
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2013 56 90.3%
A Large-Deviation Analysis of the Maximum-Likelihood Learning of Markov Tree Structures
IEEE Transactions on Information Theory, 2009
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2009 69 90.3%
A systematic review of virtual reality for the assessment of technical skills in neurosurgery.
Neurosurgical Focus, 2021
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2021 32 90.1%
Homotopy Analysis for Tensor PCA
Annual Conference Computational Learning Theory, 2016
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2016 47 89.9%
When are overcomplete topic models identifiable? uniqueness of tensor tucker decompositions with structured sparsity
Journal of machine learning research, 2013
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2013 53 89.6%
Type-Based Random Access for Distributed Detection Over Multiaccess Fading Channels
IEEE Transactions on Signal Processing, 2007
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2007 72 89.6%
Panoptic SegFormer
2021
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2021 30 89.1%
Tensor Decompositions for Learning Latent Variable Models (A Survey for ALT)
International Conference on Algorithmic Learning Theory, 2015
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2015 47 89.1%
Analyzing Tensor Power Method Dynamics in Overcomplete Regime
Journal of machine learning research, 2014
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2014 48 89.0%
Online tensor methods for learning latent variable models
Journal of machine learning research, 2013
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2013 50 88.9%
Learning Loopy Graphical Models with Latent Variables: Efficient Methods and Guarantees
Annals of Statistics, 2012
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2012 51 88.5%
Learning Mixtures of Tree Graphical Models
Neural Information Processing Systems, 2012
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2012 51 88.5%
Learning Gaussian Tree Models: Analysis of Error Exponents and Extremal Structures
IEEE Transactions on Signal Processing, 2009
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2009 59 88.3%
Variational Quantum Optimization with Multi-Basis Encodings
Physical Review Research, 2021
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2021 28 88.1%
Score Function Features for Discriminative Learning: Matrix and Tensor Framework
International Conference on Learning Representations, 2014
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2014 45 88.1%
Convolutional Dictionary Learning through Tensor Factorization
FE@NIPS, 2015
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2015 43 87.9%
Learning compositional functions via multiplicative weight updates
Neural Information Processing Systems, 2020
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2020 33 87.8%
Implicit competitive regularization in GANs
International Conference on Machine Learning, 2019
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2019 35 87.8%
Incremental Spatial and Spectral Learning of Neural Operators for Solving Large-Scale PDEs
Trans. Mach. Learn. Res., 2022
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2022 22 87.6%
Augmenting Deep Classifiers with Polynomial Neural Networks
European Conference on Computer Vision, 2021
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2021 27 87.5%
Nonparametric Estimation of Multi-View Latent Variable Models
International Conference on Machine Learning, 2013
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2013 45 87.4%
ClimSim-Online: A Large Multi-scale Dataset and Framework for Hybrid ML-physics Climate Emulation
2023
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2023 17 87.4%
Adaptive Control and Regret Minimization in Linear Quadratic Gaussian (LQG) Setting
American Control Conference, 2020
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2020 32 87.3%
Online and Differentially-Private Tensor Decomposition
Neural Information Processing Systems, 2016
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2016 39 87.3%
Robust Rate Maximization Game Under Bounded Channel Uncertainty
IEEE Transactions on Vehicular Technology, 2010
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2010 52 87.3%
Learning High-Dimensional Markov Forest Distributions: Analysis of Error Rates
Journal of machine learning research, 2010
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2010 51 87.0%
Few-shot Instruction Prompts for Pretrained Language Models to Detect Social Biases
arXiv.org, 2021
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2021 26 86.9%
Forecasting subcritical cylinder wakes with Fourier Neural Operators
arXiv.org, 2023
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2023 16 86.3%
Detection of Gauss–Markov Random Fields With Nearest-Neighbor Dependency
IEEE Transactions on Information Theory, 2007
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2007 55 86.1%
Stochastic Linear Bandits with Hidden Low Rank Structure
arXiv.org, 2019
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2019 30 85.3%
LNS-Madam: Low-Precision Training in Logarithmic Number System Using Multiplicative Weight Update
IEEE transactions on computers, 2021
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2021 23 84.7%
Model Learning Predictive Control in Nonlinear Dynamical Systems
IEEE Conference on Decision and Control, 2021
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2021 23 84.7%
Incremental Fourier Neural Operator
arXiv.org, 2022
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2022 18 83.9%
StrassenNets: Deep learning with a multiplication budget
International Conference on Machine Learning, 2017
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2017 30 83.1%
Machine Learning Accelerated PDE Backstepping Observers
IEEE Conference on Decision and Control, 2022
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2022 17 82.7%
Feedback message passing for inference in gaussian graphical models
2010 IEEE International Symposium on Information Theory, 2010
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2010 38 82.5%
The Potential Dangers of Artificial Intelligence for Radiology and Radiologists
Journal of the American College of Radiology, 2020
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2020 23 81.3%
Topology discovery of sparse random graphs with few participants
Measurement and Modeling of Computer Systems, 2011
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2011 33 80.8%
Tracking in a spaghetti bowl: monitoring transactions using footprints
Measurement and Modeling of Computer Systems, 2008
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2008 36 80.3%
Directivity Modes of Earthquake Populations with Unsupervised Learning
Journal of Geophysical Research: Solid Earth, 2019
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2019 23 80.2%
Thompson Sampling Achieves Õ(√T) Regret in Linear Quadratic Control
Annual Conference Computational Learning Theory, 2022
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2022 15 79.9%
Accelerating Carbon Capture and Storage Modeling using Fourier Neural Operators
arXiv.org, 2022
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2022 15 79.9%
Finite-Time Regret of Thompson Sampling Algorithms for Exponential Family Multi-Armed Bandits
Neural Information Processing Systems, 2022
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2022 15 79.9%
Analyzing Tensor Power Method Dynamics: Applications to Learning Overcomplete Latent Variable Models
arXiv.org, 2014
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2014 27 79.7%
Generalization Bounds for Neural Networks through Tensor Factorization
arXiv.org, 2015
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2015 26 79.4%
Regret Minimization in Partially Observable Linear Quadratic Control
arXiv.org, 2020
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2020 20 78.3%
Regret Bound of Adaptive Control in Linear Quadratic Gaussian (LQG) Systems
arXiv.org, 2020
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2020 20 78.3%
InRank: Incremental Low-Rank Learning
arXiv.org, 2023
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2023 11 78.2%
BiasTestGPT: Using ChatGPT for Social Bias Testing of Language Models
2023
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2023 11 78.2%
Tensor Dropout for Robust Learning
IEEE Journal on Selected Topics in Signal Processing, 2020
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2020 19 77.2%
Capturing fine-grained details for video-based automation of suturing skills assessment
International Journal of Computer Assisted Radiology and Surgery, 2022
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2022 13 76.4%
Context Generation Improves Open Domain Question Answering
Findings, 2022
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2022 13 76.4%
Guaranteed Approximation Bounds for Mixed-Precision Neural Operators
2023
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2023 10 75.8%
Training Input-Output Recurrent Neural Networks through Spectral Methods
arXiv.org, 2016
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2016 19 74.0%
Tumour Immunomodulation: Mucins in Resistance to Initiation and Maturation of Immune Response Against Tumours
Scandinavian Journal of Immunology, 2013
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2013 20 73.2%
A Scale Mixture Perspective of Multiplicative Noise in Neural Networks
2015
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2015 19 73.2%
Optimal Node Density for Detection in Energy-Constrained Random Networks
IEEE Transactions on Signal Processing, 2008
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2008 24 73.0%
Minimum Cost Data Aggregation with Localized Processing for Statistical Inference
IEEE INFOCOM 2008 - The 27th Conference on Computer Communications, 2008
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2008 24 73.0%
Sample-Efficient Deep RL with Generative Adversarial Tree Search
arXiv.org, 2018
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2018 17 72.6%
High-Dimensional Graphical Model Selection: Tractable Graph Families and Necessary Conditions
Neural Information Processing Systems, 2011
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2011 21 72.5%
Large Scale Mask Optimization Via Convolutional Fourier Neural Operator and Litho-Guided Self Training
arXiv.org, 2022
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2022 11 72.0%
Quantum Goemans-Williamson Algorithm with the Hadamard Test and Approximate Amplitude Constraints
Quantum, 2022
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2022 11 72.0%
Finite-time System Identification and Adaptive Control in Autoregressive Exogenous Systems
Conference on Learning for Dynamics & Control, 2021
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2021 13 71.8%
Competitive Policy Optimization
Conference on Uncertainty in Artificial Intelligence, 2020
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2020 15 71.7%
A large-deviation analysis for the maximum likelihood learning of tree structures
2009 IEEE International Symposium on Information Theory, 2009
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2009 20 70.2%
Intelligent Resolution: Integrating Cryo-EM with AI-driven Multi-resolution Simulations to Observe the SARS-CoV-2 Replication-Transcription Machinery in Action
bioRxiv, 2021
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2021 12 69.7%
Stable Online Control of Linear Time-Varying Systems
Conference on Learning for Dynamics & Control, 2021
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2021 12 69.7%
ZerO Initialization: Initializing Residual Networks with only Zeros and Ones
arXiv.org, 2021
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2021 12 69.7%
Dynamic Social Media Monitoring for Fast-Evolving Online Discussions
Knowledge Discovery and Data Mining, 2021
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2021 12 69.7%
FC-PINO: High Precision Physics-Informed Neural Operators via Fourier Continuation
2022
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2022 10 69.4%
KCRL: Krasovskii-Constrained Reinforcement Learning with Guaranteed Stability in Nonlinear Dynamical Systems
arXiv.org, 2022
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2022 10 69.4%
Provable Tensor Methods for Learning Mixtures of Classifiers
arXiv.org, 2014
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2014 16 69.3%
Out-of-Distribution Detection Using Neural Rendering Generative Models
arXiv.org, 2019
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2019 14 69.2%
Competitive Mirror Descent
arXiv.org, 2020
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2020 13 68.1%
Active Learning of Multiple Source Multiple Destination Topologies
IEEE Transactions on Signal Processing, 2012
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2012 16 68.1%
CEM-GD: Cross-Entropy Method with Gradient Descent Planner for Model-Based Reinforcement Learning
arXiv.org, 2021
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2021 11 67.4%
TensorLy-Quantum: Quantum Machine Learning with Tensor Methods
2021
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2021 11 67.4%
HEAT: Hardware-Efficient Automatic Tensor Decomposition for Transformer Compression
arXiv.org, 2022
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2022 9 66.4%
Intelligent resolution: Integrating Cryo-EM with AI-driven multi-resolution simulations to observe the severe acute respiratory syndrome coronavirus-2 replication-transcription machinery in action
The international journal of high performance computing applications, 2022
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2022 9 66.4%
Open Problem: Approximate Planning of POMDPs in the class of Memoryless Policies
Annual Conference Computational Learning Theory, 2016
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2016 13 65.9%
Triply Robust Off-Policy Evaluation
arXiv.org, 2019
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2019 12 65.5%
Energy scaling laws for distributed inference in random fusion networks
IEEE Journal on Selected Areas in Communications, 2008
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2008 16 65.2%
CHRONIC EXPERIMENTAL FEEDING OF IMIDACLOPRID INDUCED OXIDATIVE STRESS AND AMELIORATION WITH VITAMIN C & Withania somnifera IN LAYER BIRDS
2014
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2014 13 64.9%
Multi-Step Stochastic ADMM in High Dimensions: Applications to Sparse Optimization and Matrix Decomposition
Neural Information Processing Systems, 2014
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2014 13 64.9%
Detection of Gauss-Markov Random Field on Nearest-Neighbor Graph
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2007
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2007 15 62.8%
Spectral Methods for Correlated Topic Models
International Conference on Artificial Intelligence and Statistics, 2016
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2016 11 62.1%
High-dimensional covariance decomposition into sparse Markov and independence models
Journal of machine learning research, 2012
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2012 12 62.1%
Learning Mixed Membership Community Models in Social Tagging Networks through Tensor Methods
arXiv.org, 2015
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2015 11 61.5%
Topology discovery of sparse random graphs with few participants
PERV, 2011
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2011 12 61.2%
Energy-latency tradeoff for in-network function computation in random networks
2011 Proceedings IEEE INFOCOM, 2011
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2011 12 61.2%
Near-term distributed quantum computation using mean-field corrections and auxiliary qubits
Quantum Science and Technology, 2023
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2023 6 60.7%
Tipping Point Forecasting in Non-Stationary Dynamics on Function Spaces
arXiv.org, 2023
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2023 6 60.7%
Convergence rate of sign stochastic gradient descent for non-convex functions
2018
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2018 10 60.3%
High-Dimensional Gaussian Graphical Model Selection: Tractable Graph Families
arXiv.org, 2011
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2011 11 59.4%
Error exponents for composite hypothesis testing of Markov forest distributions
2010 IEEE International Symposium on Information Theory, 2010
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2010 11 59.3%
Robust Deep Networks with Randomized Tensor Regression Layers
2019
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2019 9 58.6%
InfoCNF: An Efficient Conditional Continuous Normalizing Flow with Adaptive Solvers
2019
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2019 9 58.6%
Prize-Collecting Data Fusion for Cost-Performance Tradeoff in Distributed Inference
IEEE INFOCOM 2009, 2009
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2009 11 58.3%
Learning High-Dimensional Mixtures of Graphical Models
arXiv.org, 2012
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2012 10 58.3%
Deep Learning On Code with an Unbounded Vocabulary
EasyChair Preprints, 2018
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2018 9 57.9%
Trust Region Policy Optimization for POMDPs
2018
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2018 9 57.9%
A Large Deviation Analysis of Detection Over Multi-Access Channels with Random Number of Sensors
2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings, 2006
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2006 12 57.5%
Experimental results : Reinforcement Learning of POMDPs using Spectral Methods
arXiv.org, 2017
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2017 9 57.2%
Multi-Object Classification and Unsupervised Scene Understanding Using Deep Learning Features and Latent Tree Probabilistic Models
arXiv.org, 2015
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2015 9 57.0%
Finding Social Media Trolls: Dynamic Keyword Selection Methods for Rapidly-Evolving Online Debates
arXiv.org, 2019
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2019 8 55.8%
Brain-inspired Robust Vision using Convolutional Neural Networks with Feedback
2019
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2019 8 55.8%
Distributed Estimation Via Random Access
IEEE Transactions on Information Theory, 2008
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2008 10 55.7%
Multi-task learning for electronic structure to predict and explore molecular potential energy surfaces
arXiv.org, 2020
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2020 8 55.6%
A Bayesian Perspective of Convolutional Neural Networks through a Deconvolutional Generative Model
2018
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2018 8 55.1%
Neural Rendering Model: Joint Generation and Prediction for Semi-Supervised Learning
arXiv.org, 2018
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2018 8 55.1%
The Relationship Between Technical Skills, Cognitive Workload, and Errors During Robotic Surgical Exercises
Journal of endourology, 2021
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2021 7 54.8%
Towards Neural Variational Monte Carlo That Scales Linearly with System Size
arXiv.org, 2022
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2022 6 54.0%
Summary based structures with improved sublinear recovery for compressed sensing
IEEE International Symposium on Information Theory. Proceedings, 2011
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2011 8 52.7%
High-Dimensional Structure Estimation in Ising Models: Tractable Graph Families
arXiv.org, 2011
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2011 8 52.7%
Index-based sampling policies for tracking dynamic networks under sampling constraints
2011 Proceedings IEEE INFOCOM, 2011
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2011 8 52.7%
Multi Sense Embeddings from Topic Models
International Conference on Natural Language and Speech Processing, 2019
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2019 7 52.5%
Energy Efficient Routing for Statistical Inference of Markov Random Fields
Annual Conference on Information Sciences and Systems, 2007
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2007 9 52.5%
Detection error exponent for spatially dependent samples in random networks
2009 IEEE International Symposium on Information Theory, 2009
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2009 8 51.6%
Guaranteed Scalable Learning of Latent Tree Models
Conference on Uncertainty in Artificial Intelligence, 2014
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2014 7 51.4%
In Silico-Based High-Throughput Screen for Discovery of Novel Combinations for Tuberculosis Treatment
Antimicrobial Agents and Chemotherapy, 2015
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2015 7 51.4%
Low-Precision Training in Logarithmic Number System using Multiplicative Weight Update
arXiv.org, 2021
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2021 6 50.4%
Auditing AI models for Verified Deployment under Semantic Specifications
arXiv.org, 2021
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2021 6 50.4%
Cost-performance tradeoff in multi-hop aggregation for statistical inference
2008 IEEE International Symposium on Information Theory, 2008
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2008 7 48.2%
Energy Scaling Laws for Distributed Inference in Random Networks
arXiv.org, 2008
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2008 7 48.2%
Compression by the signs: distributed learning is a two-way street
International Conference on Learning Representations, 2018
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2018 6 48.2%
Provable Learning of Overcomplete Latent Variable Models: Semi-supervised and Unsupervised Settings
arXiv.org, 2014
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2014 6 47.9%
Distributed Statistical Inference using Type Based Random Access over Multi-access Fading Channels
Annual Conference on Information Sciences and Systems, 2006
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2006 7 46.4%
Improving Adversarial Robustness in 3D Point Cloud Classification via Self-Supervisions
2021
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2021 5 45.3%
Nonlinear Quantum Optimization Algorithms via Efficient Ising Model Encodings
2021
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2021 5 45.3%
Non-intrusive transaction monitoring using system logs
IEEE/IFIP Network Operations and Management Symposium, 2008
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2008 6 44.9%
Beyond LDA: A Unified Framework for Learning Latent Normalized Infinitely Divisible Topic Models through Spectral Methods
arXiv.org, 2016
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2016 5 44.0%
Tensor Computing for Internet of Things (Dagstuhl Perspectives Workshop 16152)
Dagstuhl Reports, 2016
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2016 5 44.0%
Unsupervised learning of transcriptional regulatory networks via latent tree graphical models
arXiv.org, 2016
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2016 5 44.0%
Combining Symbolic and Function Evaluation Expressions In Neural Programs
arXiv.org, 2018
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2018 5 43.8%
Are You Going to the Party: Depends, Who Else is Coming?: [Learning Hidden Group Dynamics via Conditional Latent Tree Models]
2015 IEEE International Conference on Data Mining, 2014
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2014 5 43.7%
Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach
International Joint Conference on Artificial Intelligence, 2020
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2020 5 43.3%
Distributionally Robust Learning for Unsupervised Domain Adaptation
arXiv.org, 2020
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2020 5 43.3%
Deep Bayesian Quadrature Policy Optimization
AAAI Conference on Artificial Intelligence, 2020
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2020 5 43.3%
An Adversarial Active Sampling-based Data Augmentation Framework for Manufacturable Chip Design
arXiv.org, 2022
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2022 4 41.4%
Polymatrix Competitive Gradient Descent
arXiv.org, 2021
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2021 4 38.9%
Disentangling Observed Causal Effects from Latent Confounders using Method of Moments
arXiv.org, 2021
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2021 4 38.9%
InfoCNF: An Efficient Conditional Continuous Normalizing Flow with Adaptive Solvers
arXiv.org, 2019
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2019 4 38.6%
A data-driven approach to modeling turbulent decay at non-asymptotic Reynolds numbers
2019
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2019 4 38.6%
Tensor Contraction & Regression Networks
2018
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2018 4 38.2%
OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation
Conference on Uncertainty in Artificial Intelligence, 2020
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2020 4 37.5%
Unsupervised Controllable Generation with Self-Training
IEEE International Joint Conference on Neural Network, 2020
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2020 4 37.5%
Expert Surgeons and Deep Learning Models Can Predict the Outcome of Surgical Hemorrhage from One Minute of Video
medRxiv, 2022
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2022 3 32.6%
Unsupervised Learning of Word-Sequence Representations from Scratch via Convolutional Tensor Decomposition
arXiv.org, 2016
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2016 3 31.3%
Towards Reducing Labeling Cost in Deep Object Detection
arXiv.org, 2021
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2021 3 30.8%
Selectively retrofitting monitoring in distributed systems
Sigmetrics Performance Evaluation Review, 2009
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2009 3 29.4%
Integrated Structure and Parameters Learning in Latent Tree Graphical Models
arXiv.org, 2014
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2014 2 20.4%
FEAST at Play: Feature ExtrAction using Score function Tensors
FE@NIPS, 2015
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2015 2 20.4%
Stochastically Rank-Regularized Tensor Regression Networks
arXiv.org, 2019
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2019 2 20.2%
ADVM'21: 1st International Workshop on Adversarial Learning for Multimedia
ACM Multimedia, 2021
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2021 1 0.0%
Thompson Sampling for Partially Observable Linear-Quadratic Control
American Control Conference, 2023
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2023 1 0.0%
Multi-dimensional Tensor Sketch
arXiv.org, 2019
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2019 1 0.0%
FCD: Fast-concurrent-distributed load balancing under switching costs and imperfect observations
2013 Proceedings IEEE INFOCOM, 2013
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2013 1 0.0%
Homotopy Method for Tensor Principal Component Analysis
arXiv.org, 2016
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2016 1 0.0%
Min-min times in peer-to-peer file sharing networks
2008 46th Annual Allerton Conference on Communication, Control, and Computing, 2008
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2008 1 0.0%
Latent Graphical Model Selection: Efficient Methods for Locally Tree-like Graphs
Neural Information Processing Systems, 2012
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2012 1 0.0%
Role of HPC in next-generation AI
International Conference on High Performance Computing, 2020
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2020 1 0.0%
Guarantees for Multi-Step Stochastic ADMM in High Dimensions
arXiv.org, 2014
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2014 1 0.0%
Limit laws for random spatial graphical models
2010 IEEE International Symposium on Information Theory, 2010
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2010 1 0.0%
Appendix: Convolutional Tensor-Train LSTM for Spatio-temporal Learning
2020
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2020 1 0.0%
Reinforcement Learning of Contextual MDPs using Spectral Methods
arXiv.org, 2016
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2016 1 0.0%
Stability and Identification of Random Asynchronous Linear Time-Invariant Systems
Conference on Learning for Dynamics & Control, 2020
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2020 1 0.0%