Anima Anandkumar
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Indian-American computer scientist
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Computer Science
Anima Anandkumar's Degrees
- PhD Electrical Engineering Cornell University
- Bachelors Electrical Engineering IIT Madras
Why Is Anima Anandkumar Influential?
(Suggest an Edit or Addition)According to Wikipedia, Animashree Anandkumar is the Bren Professor of Computing at California Institute of Technology. She is a director of Machine Learning research at NVIDIA. Her research considers tensor-algebraic methods, deep learning and non-convex problems.
Anima Anandkumar's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Tensor decompositions for learning latent variable models (2012) (1050)
- SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers (2021) (964)
- Fourier Neural Operator for Parametric Partial Differential Equations (2020) (722)
- Born Again Neural Networks (2018) (682)
- signSGD: compressed optimisation for non-convex problems (2018) (653)
- Stochastic Activation Pruning for Robust Adversarial Defense (2018) (449)
- Deep Active Learning for Named Entity Recognition (2017) (344)
- A Method of Moments for Mixture Models and Hidden Markov Models (2012) (323)
- Distributed Algorithms for Learning and Cognitive Medium Access with Logarithmic Regret (2010) (323)
- A Spectral Algorithm for Latent Dirichlet Allocation (2012) (294)
- Neural Operator: Graph Kernel Network for Partial Differential Equations (2020) (270)
- Non-convex Robust PCA (2014) (252)
- Learning Latent Tree Graphical Models (2010) (227)
- Beating the Perils of Non-Convexity: Guaranteed Training of Neural Networks using Tensor Methods (2017) (219)
- Multipole Graph Neural Operator for Parametric Partial Differential Equations (2020) (180)
- Opportunistic Spectrum Access with Multiple Users: Learning under Competition (2010) (180)
- Neural Operator: Learning Maps Between Function Spaces (2021) (172)
- Learning Sparsely Used Overcomplete Dictionaries via Alternating Minimization (2013) (171)
- Physics-informed machine learning: case studies for weather and climate modelling (2021) (166)
- Neural Lander: Stable Drone Landing Control Using Learned Dynamics (2018) (164)
- signSGD with Majority Vote is Communication Efficient and Fault Tolerant (2018) (153)
- A tensor approach to learning mixed membership community models (2013) (147)
- Efficient approaches for escaping higher order saddle points in non-convex optimization (2016) (137)
- Regularized Learning for Domain Adaptation under Label Shifts (2019) (136)
- Efficient Exploration Through Bayesian Deep Q-Networks (2018) (130)
- Learning From Noisy Singly-labeled Data (2017) (126)
- OrbNet: Deep Learning for Quantum Chemistry Using Symmetry-Adapted Atomic-Orbital Features (2020) (124)
- Guaranteed Non-Orthogonal Tensor Decomposition via Alternating Rank-1 Updates (2014) (123)
- A Tensor Spectral Approach to Learning Mixed Membership Community Models (2013) (120)
- Fast and Guaranteed Tensor Decomposition via Sketching (2015) (114)
- Long-term Forecasting using Tensor-Train RNNs (2017) (108)
- High-dimensional structure estimation in Ising models: Local separation criterion (2011) (107)
- Learning Sparsely Used Overcomplete Dictionaries (2014) (103)
- Tensor Regression Networks (2017) (101)
- FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators (2022) (99)
- Reinforcement Learning of POMDPs using Spectral Methods (2016) (97)
- Probabilistic FastText for Multi-Sense Word Embeddings (2018) (89)
- High-dimensional Gaussian graphical model selection: walk summability and local separation criterion (2011) (85)
- Two SVDs Suffice: Spectral decompositions for probabilistic topic modeling and latent Dirichlet allocation (2012) (81)
- U-FNO - an enhanced Fourier neural operator based-deep learning model for multiphase flow (2021) (80)
- Self-Calibrating Neural Radiance Fields (2021) (78)
- Competitive Gradient Descent (2019) (77)
- Tensor vs. Matrix Methods: Robust Tensor Decomposition under Block Sparse Perturbations (2015) (76)
- Controllable Story Generation with External Knowledge Using Large-Scale Language Models (2020) (76)
- Provable Tensor Methods for Learning Mixtures of Generalized Linear Models (2014) (74)
- Long-term Forecasting using Higher Order Tensor RNNs (2017) (72)
- Provable Methods for Training Neural Networks with Sparse Connectivity (2014) (69)
- Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems (2020) (69)
- MESHFREEFLOWNET: A Physics-Constrained Deep Continuous Space-Time Super-Resolution Framework (2020) (68)
- Type-Based Random Access for Distributed Detection Over Multiaccess Fading Channels (2007) (66)
- Learning Linear Bayesian Networks with Latent Variables (2012) (66)
- Learning Overcomplete Latent Variable Models through Tensor Methods (2014) (65)
- A Large-Deviation Analysis of the Maximum-Likelihood Learning of Markov Tree Structures (2009) (63)
- Causal Discovery in Physical Systems from Videos (2020) (63)
- Convolutional Tensor-Train LSTM for Spatio-temporal Learning (2020) (61)
- Exact Recovery of Sparsely Used Overcomplete Dictionaries (2013) (60)
- Tensor Contractions with Extended BLAS Kernels on CPU and GPU (2016) (60)
- Fast Detection of Overlapping Communities via Online Tensor Methods on GPUs (2013) (57)
- Detection of Gauss–Markov Random Fields With Nearest-Neighbor Dependency (2007) (56)
- Semi-Supervised StyleGAN for Disentanglement Learning (2020) (55)
- Modeling the Mobile Application Development Lifecycle (55)
- Diffusion Models for Adversarial Purification (2022) (55)
- Spectral Methods for Learning Multivariate Latent Tree Structure (2011) (53)
- Robust Rate Maximization Game Under Bounded Channel Uncertainty (2010) (52)
- Learning Gaussian Tree Models: Analysis of Error Exponents and Extremal Structures (2009) (52)
- Long-Short Transformer: Efficient Transformers for Language and Vision (2021) (52)
- When are overcomplete topic models identifiable? uniqueness of tensor tucker decompositions with structured sparsity (2013) (51)
- Physics-Informed Neural Operator for Learning Partial Differential Equations (2021) (51)
- A Clustering Approach to Learning Sparsely Used Overcomplete Dictionaries (2013) (50)
- Learning Mixtures of Tree Graphical Models (2012) (49)
- Learning High-Dimensional Markov Forest Distributions: Analysis of Error Rates (2010) (49)
- Active Learning with Partial Feedback (2018) (48)
- Online tensor methods for learning latent variable models (2013) (47)
- AugMax: Adversarial Composition of Random Augmentations for Robust Training (2021) (47)
- Simulation Intelligence: Towards a New Generation of Scientific Methods (2021) (47)
- Understanding The Robustness in Vision Transformers (2022) (46)
- M2BEV: Multi-Camera Joint 3D Detection and Segmentation with Unified Birds-Eye View Representation (2022) (46)
- Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformers (2021) (45)
- Learning Loopy Graphical Models with Latent Variables: Efficient Methods and Guarantees (2012) (45)
- Tensor Methods in Computer Vision and Deep Learning (2021) (45)
- MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge (2022) (45)
- Robust Regression for Safe Exploration in Control (2019) (44)
- Analyzing Tensor Power Method Dynamics in Overcomplete Regime (2014) (44)
- Nonparametric Estimation of Multi-View Latent Variable Models (2013) (43)
- Tensor Decompositions for Learning Latent Variable Models (A Survey for ALT) (2015) (43)
- Panoptic SegFormer: Delving Deeper into Panoptic Segmentation with Transformers (2021) (42)
- Automated Synthetic-to-Real Generalization (2020) (40)
- Feedback Message Passing for Inference in Gaussian Graphical Models (2010) (40)
- Tensor Contraction Layers for Parsimonious Deep Nets (2017) (40)
- Angular Visual Hardness (2019) (39)
- signSGD with Majority Vote is Communication Efficient And Byzantine Fault Tolerant (2018) (39)
- Score Function Features for Discriminative Learning: Matrix and Tensor Framework (2014) (38)
- Convolutional Dictionary Learning through Tensor Factorization (2015) (38)
- Question Type Guided Attention in Visual Question Answering (2018) (36)
- Turbulence forecasting via Neural ODE. (2019) (35)
- Tracking in a spaghetti bowl: monitoring transactions using footprints (2008) (35)
- Open Vocabulary Learning on Source Code with a Graph-Structured Cache (2018) (35)
- Homotopy Analysis for Tensor PCA (2016) (35)
- Learning Causal State Representations of Partially Observable Environments (2019) (35)
- Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion (2020) (35)
- Fourier Neural Operator with Learned Deformations for PDEs on General Geometries (2022) (34)
- Chance-Constrained Trajectory Optimization for Safe Exploration and Learning of Nonlinear Systems (2020) (33)
- OrbNet Denali: A machine learning potential for biological and organic chemistry with semi-empirical cost and DFT accuracy. (2021) (33)
- Contrastive Syn-to-Real Generalization (2021) (32)
- Spectral Learning on Matrices and Tensors (2019) (32)
- Online and Differentially-Private Tensor Decomposition (2016) (31)
- Markov Neural Operators for Learning Chaotic Systems (2021) (30)
- UNiTE: Unitary N-body Tensor Equivariant Network with Applications to Quantum Chemistry (2021) (29)
- Topology discovery of sparse random graphs with few participants (2011) (29)
- Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning (2020) (29)
- Implicit competitive regularization in GANs (2019) (28)
- Explore More and Improve Regret in Linear Quadratic Regulators (2020) (28)
- VIMA: General Robot Manipulation with Multimodal Prompts (2022) (28)
- TOCHASTIC ACTIVATION PRUNING FOR ROBUST ADVERSARIAL DEFENSE (2018) (28)
- Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds (2021) (28)
- Deep learning-based computer vision to recognize and classify suturing gestures in robot-assisted surgery (2020) (26)
- DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision (2021) (26)
- Analyzing Tensor Power Method Dynamics: Applications to Learning Overcomplete Latent Variable Models (2014) (25)
- #COVIDisAirborne: AI-Enabled Multiscale Computational Microscopy of Delta SARS-CoV-2 in a Respiratory Aerosol (2021) (25)
- Generalization Bounds for Neural Networks through Tensor Factorization (2015) (25)
- Reinforcement Learning in Rich-Observation MDPs using Spectral Methods (2016) (25)
- SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies (2021) (24)
- Neural Networks with Recurrent Generative Feedback (2020) (24)
- Optimal Node Density for Detection in Energy-Constrained Random Networks (2008) (24)
- Neural-Fly enables rapid learning for agile flight in strong winds (2022) (24)
- StrassenNets: Deep learning with a multiplication budget (2017) (24)
- A learning-based multiscale method and its application to inelastic impact problems (2021) (23)
- Controllable and Compositional Generation with Latent-Space Energy-Based Models (2021) (23)
- Combining Symbolic Expressions and Black-box Function Evaluations in Neural Programs (2018) (23)
- Minimum Cost Data Aggregation with Localized Processing for Statistical Inference (2008) (22)
- Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning (2021) (21)
- Adaptive Control and Regret Minimization in Linear Quadratic Gaussian (LQG) Setting (2020) (21)
- A large-deviation analysis for the maximum likelihood learning of tree structures (2009) (21)
- Reinforcement Learning with Fast Stabilization in Linear Dynamical Systems (2020) (20)
- Stochastic Linear Bandits with Hidden Low Rank Structure (2019) (19)
- High-Dimensional Graphical Model Selection: Tractable Graph Families and Necessary Conditions (2011) (19)
- Efficient Token Mixing for Transformers via Adaptive Fourier Neural Operators (2022) (19)
- Adversarially Robust 3D Point Cloud Recognition Using Self-Supervisions (2021) (18)
- Tumour Immunomodulation: Mucins in Resistance to Initiation and Maturation of Immune Response Against Tumours (2013) (18)
- A Scale Mixture Perspective of Multiplicative Noise in Neural Networks (2015) (17)
- Policy Gradient in Partially Observable Environments: Approximation and Convergence (2018) (17)
- FreeSOLO: Learning to Segment Objects without Annotations (2022) (17)
- Regret Bound of Adaptive Control in Linear Quadratic Gaussian (LQG) Systems (2020) (17)
- Training Input-Output Recurrent Neural Networks through Spectral Methods (2016) (17)
- Coach-Player Multi-Agent Reinforcement Learning for Dynamic Team Composition (2021) (17)
- ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation (2022) (17)
- Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection (2021) (17)
- Energy scaling laws for distributed inference in random fusion networks (2008) (16)
- Topology discovery of sparse random graphs with few participants (2011) (16)
- Stability Constrained Reinforcement Learning for Real-Time Voltage Control (2021) (16)
- Regret Minimization in Partially Observable Linear Quadratic Control (2020) (16)
- Adversarial Skill Chaining for Long-Horizon Robot Manipulation via Terminal State Regularization (2021) (15)
- Provable Tensor Methods for Learning Mixtures of Classifiers (2014) (15)
- Provable non-convex robust PCA (2014) (14)
- Surprising Negative Results for Generative Adversarial Tree Search (2018) (14)
- Out-of-Distribution Detection Using Neural Rendering Generative Models (2019) (14)
- Informing geometric deep learning with electronic interactions to accelerate quantum chemistry (2021) (14)
- Detection of Gauss-Markov Random Field on Nearest-Neighbor Graph (2007) (14)
- Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles (2021) (14)
- Learning compositional functions via multiplicative weight updates (2020) (14)
- Panoptic SegFormer (2021) (13)
- A systematic review of virtual reality for the assessment of technical skills in neurosurgery. (2021) (13)
- Multi-Step Stochastic ADMM in High Dimensions: Applications to Sparse Optimization and Matrix Decomposition (2014) (13)
- Model Learning Predictive Control in Nonlinear Dynamical Systems (2021) (13)
- Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language Models (2022) (13)
- MinVIS: A Minimal Video Instance Segmentation Framework without Video-based Training (2022) (13)
- Scalable Latent Tree Model and its Application to Health Analytics (2017) (12)
- Sample-Efficient Deep RL with Generative Adversarial Tree Search (2018) (12)
- CHRONIC EXPERIMENTAL FEEDING OF IMIDACLOPRID INDUCED OXIDATIVE STRESS AND AMELIORATION WITH VITAMIN C & Withania somnifera IN LAYER BIRDS (2014) (12)
- Active Learning of Multiple Source Multiple Destination Topologies (2012) (12)
- Directivity Modes of Earthquake Populations with Unsupervised Learning (2019) (12)
- A Large Deviation Analysis of Detection Over Multi-Access Channels with Random Number of Sensors (2006) (12)
- InfoCNF: An Efficient Conditional Continuous Normalizing Flow with Adaptive Solvers (2019) (12)
- Not All Labels Are Equal: Rationalizing The Labeling Costs for Training Object Detection (2021) (11)
- Learning Mixed Membership Community Models in Social Tagging Networks through Tensor Methods (2015) (11)
- Deep Learning On Code with an Unbounded Vocabulary (2018) (11)
- Active Learning under Label Shift (2020) (11)
- Emergent Hand Morphology and Control from Optimizing Robust Grasps of Diverse Objects (2020) (11)
- Prize-Collecting Data Fusion for Cost-Performance Tradeoff in Distributed Inference (2009) (11)
- Energy-latency tradeoff for in-network function computation in random networks (2011) (11)
- Tensor Dropout for Robust Learning (2020) (11)
- Learning Pose Estimation for UAV Autonomous Navigation and Landing Using Visual-Inertial Sensor Data (2019) (10)
- FourCastNet: Accelerating Global High-Resolution Weather Forecasting using Adaptive Fourier Neural Operators (2022) (10)
- High-Dimensional Covariance Decomposition into Sparse Markov and Independence Domains (2012) (10)
- High-Dimensional Gaussian Graphical Model Selection: Tractable Graph Families (2011) (10)
- Distributed Estimation Via Random Access (2008) (10)
- Dynamic-Backbone Protein-Ligand Structure Prediction with Multiscale Generative Diffusion Models (2022) (10)
- Memory Augmented Recursive Neural Networks (2019) (9)
- Variational Quantum Optimization with Multi-Basis Encodings (2021) (9)
- Energy Efficient Routing for Statistical Inference of Markov Random Fields (2007) (9)
- Neural Rendering Model: Joint Generation and Prediction for Semi-Supervised Learning (2018) (9)
- AdvDO: Realistic Adversarial Attacks for Trajectory Prediction (2022) (9)
- Multi-Object Classification and Unsupervised Scene Understanding Using Deep Learning Features and Latent Tree Probabilistic Models (2015) (9)
- Trust Region Policy Optimization of POMDPs (2018) (9)
- Open Problem: Approximate Planning of POMDPs in the class of Memoryless Policies (2016) (9)
- Advanced lane detection technique for structural highway based on computer vision algorithm (2020) (9)
- Error exponents for composite hypothesis testing of Markov forest distributions (2010) (9)
- Intelligent Resolution: Integrating Cryo-EM with AI-driven Multi-resolution Simulations to Observe the SARS-CoV-2 Replication-Transcription Machinery in Action (2021) (8)
- Deep Learning to Automate Technical Skills Assessment in Robotic Surgery. (2021) (8)
- VoxFormer: Sparse Voxel Transformer for Camera-based 3D Semantic Scene Completion (2023) (8)
- Convergence rate of sign stochastic gradient descent for non-convex functions (2018) (8)
- Generic lithography modeling with dual-band optics-inspired neural networks (2022) (8)
- Spectral Methods for Correlated Topic Models (2016) (8)
- Detection error exponent for spatially dependent samples in random networks (2009) (8)
- Higher-Order Count Sketch: Dimensionality Reduction that Retains Efficient Tensor Operations (2019) (8)
- Learning Topic Models and Latent Bayesian Networks Under Expansion Constraints (2012) (8)
- Experimental results : Reinforcement Learning of POMDPs using Spectral Methods (2017) (8)
- Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object Interactions (2022) (8)
- Generative Adversarial Neural Operators (2022) (8)
- The Potential Dangers of Artificial Intelligence for Radiology and Radiologists (2020) (8)
- Summary based structures with improved sublinear recovery for compressed sensing (2011) (8)
- Competitive Mirror Descent (2020) (8)
- Finding Social Media Trolls: Dynamic Keyword Selection Methods for Rapidly-Evolving Online Debates (2019) (7)
- Use of surgical video-based automated performance metrics to predict blood loss and success of simulated vascular injury control in neurosurgery: a pilot study. (2021) (7)
- Cost-performance tradeoff in multi-hop aggregation for statistical inference (2008) (7)
- Distributed Statistical Inference using Type Based Random Access over Multi-access Fading Channels (2006) (7)
- Towards Solving Differential Equations through Neural Programming (2018) (7)
- Robust Deep Networks with Randomized Tensor Regression Layers (2019) (7)
- Utility of the Simulated Outcomes Following Carotid Artery Laceration Video Data Set for Machine Learning Applications (2022) (7)
- Learning High-Dimensional Mixtures of Graphical Models (2012) (7)
- Triply Robust Off-Policy Evaluation (2019) (7)
- GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics (2022) (7)
- Index-based sampling policies for tracking dynamic networks under sampling constraints (2011) (7)
- Fast Uncertainty Quantification for Deep Object Pose Estimation (2020) (7)
- Non-intrusive transaction monitoring using system logs (2008) (7)
- Multi-task learning for electronic structure to predict and explore molecular potential energy surfaces (2020) (7)
- Few-shot Instruction Prompts for Pretrained Language Models to Detect Social Biases (2021) (7)
- Competitive Policy Optimization (2020) (6)
- Provable Learning of Overcomplete Latent Variable Models: Semi-supervised and Unsupervised Settings (2014) (6)
- Stable Online Control of Linear Time-Varying Systems (2021) (6)
- Energy Scaling Laws for Distributed Inference in Random Networks (2008) (6)
- Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models (2022) (6)
- Retrieval-based Controllable Molecule Generation (2022) (6)
- A Bayesian Perspective of Convolutional Neural Networks through a Deconvolutional Generative Model (2018) (6)
- High-Dimensional Structure Estimation in Ising Models: Tractable Graph Families (2011) (6)
- In Silico-Based High-Throughput Screen for Discovery of Novel Combinations for Tuberculosis Treatment (2015) (6)
- RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning (2022) (5)
- Accelerating Carbon Capture and Storage Modeling using Fourier Neural Operators (2022) (5)
- Consistent and efficient reconstruction of latent tree models (2010) (5)
- Finite-time System Identification and Adaptive Control in Autoregressive Exogenous Systems (2021) (5)
- Thompson Sampling Achieves Õ(√T) Regret in Linear Quadratic Control (2022) (5)
- Are You Going to the Party: Depends, Who Else is Coming?: [Learning Hidden Group Dynamics via Conditional Latent Tree Models] (2014) (5)
- Guaranteed Scalable Learning of Latent Tree Models (2014) (5)
- Fast Sampling of Diffusion Models via Operator Learning (2022) (5)
- OSCAR: Data-Driven Operational Space Control for Adaptive and Robust Robot Manipulation (2021) (5)
- TensorLy-Quantum: Quantum Machine Learning with Tensor Methods (2021) (5)
- High Dimensional Structure Learning of Ising Models on Sparse Random Graphs (2010) (5)
- Routing for Statistical Inference in Sensor Networks (2009) (5)
- Beyond LDA: A Unified Framework for Learning Latent Normalized Infinitely Divisible Topic Models through Spectral Methods (2016) (5)
- Score-based Diffusion Models in Function Space (2023) (5)
- Combining Symbolic and Function Evaluation Expressions In Neural Programs (2018) (4)
- Neural Scene Representation for Locomotion on Structured Terrain (2022) (4)
- Coupled Segmentation and Edge Learning via Dynamic Graph Propagation (2021) (4)
- Unsupervised learning of transcriptional regulatory networks via latent tree graphical models (2016) (4)
- Detection of Gauss-Markov Random Fields under Routing Energy Constraint (2007) (4)
- DensePure: Understanding Diffusion Models towards Adversarial Robustness (2022) (4)
- Robust Reinforcement Learning: A Constrained Game-theoretic Approach (2021) (4)
- Multi Sense Embeddings from Topic Models (2019) (4)
- Tensor Computing for Internet of Things (Dagstuhl Perspectives Workshop 16152) (2016) (4)
- Vision Transformers Are Good Mask Auto-Labelers (2023) (4)
- Selectively retrofitting monitoring in distributed systems (2009) (4)
- Distributionally Robust Learning for Unsupervised Domain Adaptation (2020) (4)
- LNS-Madam: Low-Precision Training in Logarithmic Number System Using Multiplicative Weight Update (2021) (4)
- Multi-modal Molecule Structure-text Model for Text-based Retrieval and Editing (2022) (4)
- Analysis of rigid pavement stresses by Finite Element Method & Westergaard's Method by varying sub-grade soil properties (2013) (4)
- ZerO Initialization: Initializing Residual Networks with only Zeros and Ones (2021) (4)
- Tensor Contraction & Regression Networks (2018) (4)
- A data-driven approach to modeling turbulent decay at non-asymptotic Reynolds numbers (2019) (4)
- Nonlinear Quantum Optimization Algorithms via Efficient Ising Model Encodings (2021) (4)
- Compression by the signs: distributed learning is a two-way street (2018) (4)
- I2SB: Image-to-Image Schrödinger Bridge (2023) (3)
- #COVIDisAirborne: AI-enabled multiscale computational microscopy of delta SARS-CoV-2 in a respiratory aerosol (2022) (3)
- Unsupervised Learning of Word-Sequence Representations from Scratch via Convolutional Tensor Decomposition (2016) (3)
- Tensor Computing for Internet of Things (2016) (3)
- Improving Adversarial Robustness in 3D Point Cloud Classification via Self-Supervisions (2021) (3)
- Langevin Monte Carlo for Contextual Bandits (2022) (3)
- Robust Trajectory Prediction against Adversarial Attacks (2022) (3)
- IoT enabled smart bus for COVID‐19 (2022) (3)
- Augmenting Deep Classifiers with Polynomial Neural Networks (2021) (3)
- Scalable Algorithms For Distributed Statistical Inference (2009) (3)
- HEAT: Hardware-Efficient Automatic Tensor Decomposition for Transformer Compression (2022) (3)
- Auditing AI models for Verified Deployment under Semantic Specifications (2021) (3)
- Brain-inspired Robust Vision using Convolutional Neural Networks with Feedback (2019) (3)
- Discovering Neuronal Cell Types and Their Gene Expression Profiles Using a Spatial Point Process Mixture Model (2016) (2)
- KCRL: Krasovskii-Constrained Reinforcement Learning with Guaranteed Stability in Nonlinear Dynamical Systems (2022) (2)
- Scaling laws for learning high-dimensional Markov forest distributions (2010) (2)
- CEM-GD: Cross-Entropy Method with Gradient Descent Planner for Model-Based Reinforcement Learning (2021) (2)
- Machine Learning Accelerated PDE Backstepping Observers (2022) (2)
- Reinforcement Learning in Factored Action Spaces using Tensor Decompositions (2021) (2)
- OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation (2020) (2)
- Assessing the efficacy of dissection gestures in robotic surgery (2022) (2)
- ZerO Initialization: Initializing Neural Networks with only Zeros and Ones (2021) (2)
- Learning Dissipative Dynamics in Chaotic Systems (2021) (2)
- Validation of Machine Learning–Based Automated Surgical Instrument Annotation Using Publicly Available Intraoperative Video (2022) (2)
- Determination of Soil Moisture Content using Image Processing -A Survey (2021) (2)
- Deep Neural Networks Can Accurately Detect Blood Loss and Hemorrhage Control Task Success From Video (2022) (2)
- Towards Reducing Labeling Cost in Deep Object Detection (2021) (2)
- How do the structure and the parameters of Gaussian tree models affect structure learning? (2009) (2)
- Stochastically Rank-Regularized Tensor Regression Networks (2019) (2)
- FEAST at Play: Feature ExtrAction using Score function Tensors (2015) (2)
- A multi-institutional study using artificial intelligence to provide reliable and fair feedback to surgeons (2023) (2)
- Deep Bayesian Quadrature Policy Optimization (2020) (2)
- Human visual explanations mitigate bias in AI-based assessment of surgeon skills (2023) (2)
- A vision transformer for decoding surgeon activity from surgical videos. (2023) (2)
- Finite-Time Regret of Thompson Sampling Algorithms for Exponential Family Multi-Armed Bandits (2022) (2)
- Integrated Structure and Parameters Learning in Latent Tree Graphical Models (2014) (2)
- Dynamic Social Media Monitoring for Fast-Evolving Online Discussions (2021) (2)
- Incremental Fourier Neural Operator (2022) (1)
- Disentangling Observed Causal Effects from Latent Confounders using Method of Moments (2021) (1)
- Supplementary Material for the AISTATS 2016 Paper: Provable Tensor Methods for Learning Mixtures of Generalized Linear Models (2016) (1)
- Forecasting subcritical cylinder wakes with Fourier Neural Operators (2023) (1)
- Stability Constrained Reinforcement Learning for Decentralized Real-Time Voltage Control (2022) (1)
- 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 (2022) (1)
- A Spectral Algorithm for Latent Dirichlet Allocation (2014) (1)
- Homotopy Method for Tensor Principal Component Analysis (2016) (1)
- Stability and Identification of Random Asynchronous Linear Time-Invariant Systems (2020) (1)
- Thompson Sampling Achieves $\tilde{O}(\sqrt{T})$ Regret in Linear Quadratic Control (2022) (1)
- The Relationship of Technical Skills and Cognitive Workload to Errors During Robotic Surgical Exercises. (2021) (1)
- Large Scale Mask Optimization Via Convolutional Fourier Neural Operator and Litho-Guided Self Training (2022) (1)
- Real-time High-resolution CO2 Geological Storage Prediction using Nested Fourier Neural Operators (2023) (1)
- Reinforcement Learning of Contextual MDPs using Spectral Methods (2016) (1)
- Polymatrix Competitive Gradient Descent (2021) (1)
- Guarantees for Multi-Step Stochastic ADMM in High Dimensions (2014) (1)
- FCD: Fast-concurrent-distributed load balancing under switching costs and imperfect observations (2013) (1)
- Min-min times in peer-to-peer file sharing networks (2008) (1)
- Limit laws for random spatial graphical models (2010) (1)
- AutoBiasTest: Controllable Sentence Generation for Automated and Open-Ended Social Bias Testing in Language Models (2023) (1)
- Learning Chaotic Dynamics in Dissipative Systems (2022) (1)
- Unsupervised Controllable Generation with Self-Training (2020) (1)
- J ul 2 01 4 A Clustering Approach to Learn Sparsely-Used Overcomplete Dictionaries (2014) (1)
- 1st Place Solution of The Robust Vision Challenge (RVC) 2022 Semantic Segmentation Track (2022) (1)
- High Dimensional Learning (2013) (1)
- Expert surgeons and deep learning models can predict the outcome of surgical hemorrhage from 1 min of video (2022) (1)
- Active Learning of Multiple Source Multiple (2014) (1)
- MimicPlay: Long-Horizon Imitation Learning by Watching Human Play (2023) (1)
- Using Real-time Feedback To Improve Surgical Performance on a Robotic Tissue Dissection Task (2022) (1)
- Can You Label Less by Using Out-of-Domain Data? Active & Transfer Learning with Few-shot Instructions (2022) (1)
- Surgical gestures as a method to quantify surgical performance and predict patient outcomes (2022) (1)
- Quantification of Robotic Surgeries with Vision-Based Deep Learning (2022) (1)
- Efficiency of rate-maximization game under bounded channel uncertainty (2010) (1)
- A Text-guided Protein Design Framework (2023) (1)
- Tracking Dynamic Networks under Sampling Constraints: Supporting Materials (2010) (1)
- Constrained Training We apply gradient-based optimization to train the ReLU DNN with a bounded Lipschitz constant . Estimating (2019) (0)
- PerAda: Parameter-Efficient and Generalizable Federated Learning Personalization with Guarantees (2023) (0)
- A Deep Learning Based Physics Informed Continuous Spatio Temporal Super-Resolution Framework (2020) (0)
- When are Overcomplete Representations Identifiable? Uniqueness of Tensor Decompositions Under Expansion Constraints (2013) (0)
- An Adversarial Active Sampling-based Data Augmentation Framework for Manufacturable Chip Design (2022) (0)
- Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study (2023) (0)
- I$^2$SB: Image-to-Image Schr\"odinger Bridge (2023) (0)
- Tensor Decompositions for Learning Latent Variable Models Report Title (2013) (0)
- DETECTIONOF GAUSS-MARKOV RANDOM FIELDON NEAREST-NEIGHBORGRAPH (2007) (0)
- Energy Efficient RoutingforStatistical Inferenceof (2007) (0)
- Learning Mixed Membership Community Models- A statistical and a Computational Framework (2019) (0)
- PD30-03 IMPORTANCE OF COGNITIVE LOAD FOR AUTOMATED ERROR DETECTION IN ROBOT-ASSISTED SURGERY EDUCATION (2023) (0)
- PD30-05 AI-BASED VIDEO FEEDBACK TO IMPROVE NOVICE PERFORMANCE ON A ROBOTIC SUTURING TASK (2023) (0)
- Incremental Spectral Learning in Fourier Neural Operator (2022) (0)
- Predictive Modeling in Online Learning Environments - eScholarship (2015) (0)
- Towards Neural Variational Monte Carlo That Scales Linearly with System Size (2022) (0)
- Modeling Dynamic Social Interactions via Conditional Latent Tree Models (2014) (0)
- Manifesto from Dagstuhl Perspectives Workshop 16152 Tensor Computing for Internet of Things (2018) (0)
- IOT Based Milk Analyzer using Arduino with Wi-Fi Module (2022) (0)
- Seeing through black boxes: Tracking transactions through queues under monitoring constraints (2011) (0)
- Fourier Neural Operator for Plasma Modelling (2023) (0)
- Title Convolutional Dictionary Learning through Tensor Factorization Permalink (2015) (0)
- MP41-03 COMPUTER VISION FOR SURGICAL ERRORS DETECTION DURING ROBOTIC TISSUE DISSECTION (2022) (0)
- On Mixed Conditional FFJORD with Large-Batch Training (2019) (0)
- Prismer: A Vision-Language Model with An Ensemble of Experts (2023) (0)
- MP10-07 THE RELATIONSHIP OF TECHNICAL SKILLS AND COGNITIVE WORKLOAD TO ERRORS DURING ROBOTIC SURGICAL EXERCISES (2022) (0)
- NetSense: Optimizing Network Configuration for Sensing (2013) (0)
- The Latent-Dependent Deep Rendering Model (2018) (0)
- Resemblance of Real Time Scheduling Algorithms for Real Time Embedded Systems (2020) (0)
- Latent Graphical Model Selection: Efficient Methods for Locally Tree-like Graphs (2012) (0)
- Context Generation Improves Open Domain Question Answering (2022) (0)
- Compositional Generalization with Tree Stack Memory Units. (2020) (0)
- Supplementary materials for Implicit competitive regularization in GANs (2020) (0)
- Robust noncooperative rate-maximization game for MIMO Gaussian interference channels under bounded channel uncertainty (2013) (0)
- Expert surgeons and deep learning models can predict the outcome of surgical hemorrhage from 1 min of video (2022) (0)
- Homotopy Analysis for Tensor PCA - eScholarship (2017) (0)
- State-specific protein-ligand complex structure prediction with a multi-scale deep generative model (2022) (0)
- Role of HPC in next-generation AI (2020) (0)
- Capturing fine-grained details for video-based automation of suturing skills assessment (2022) (0)
- Big graphs : Theory and Practice , January 6-8 , 2016 , UC San Diego Abstracts (2016) (0)
- Score Function Features for Discriminative Learning (2014) (0)
- Automatic Assessment of Surgical Performance Using Intraoperative Video and Deep Learning: A Comparison with Expert Surgeon Video Review (2022) (0)
- Compact Tensor Pooling for Visual Question Answering (2017) (0)
- A low cost remotely operable cutting machine for segmenting metal clad ceramic fuel pellets (1997) (0)
- Traffic sign recognition and vehicle using phyton (2022) (0)
- Distributionally Robust Learning for Uncertainty Calibration under Domain Shift (2020) (0)
- ADVM'21: 1st International Workshop on Adversarial Learning for Multimedia (2021) (0)
- Quantum Semidefinite Programming with the Hadamard Test and Approximate Amplitude Constraints (2022) (0)
- MP41-05 EVALUATING THE EFFICACY OF TISSUE DISSECTION GESTURES DURING ROBOTIC SIMULATION TASK (2022) (0)
- AI-aided Geometric Design of Anti-infection Catheters (2023) (0)
- Deep Distributionally Robust Learning for Calibrated Uncertainties under Domain Shift (2021) (0)
- Abstract 2521: AI-enabled multiscale modeling of SARS-CoV-2 replication transcription complex (2023) (0)
- MP10-15 BUILDING A REAL-TIME FEEDBACK SYSTEM TO IMPROVE PERFORMANCE ON A ROBOTIC TISSUE DISSECTION TASK (2022) (0)
- Matrix and Tensor Features for Discriminative Learning (2014) (0)
- Fourier Continuation for Exact Derivative Computation in Physics-Informed Neural Operators (2022) (0)
- Atlas of Black Scholarship for Inclusive and Racially Diverse STEM Curricula – Volume I (2020) (0)
- Multi-dimensional Tensor Sketch (2019) (0)
- MP41-01 DISSECTION ASSESSMENT FOR ROBOTIC TECHNIQUE (DART) TO EVALUATE NERVE-SPARE OF ROBOT-ASSISTED RADICAL PROSTATECTOMY (2022) (0)
- Competitive Policy Optimization Supplementary material (2021) (0)
- Seeing Through Black Boxes : Tracking Transactions through Queues under Monitoring Resource Constraints (2010) (0)
- Homotopy Method for Tensor PCA (2016) (0)
- ScaDL 2022 Invited Talk 3: Million-x speedups through convergence of AI and HPC (2022) (0)
- Supplementary Material: AdvDO: Realistic Adversarial Attacks for Trajectory Prediction (2022) (0)
- Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning (2023) (0)
- Disentangled GANs for Controllable Generation of High-Resolution Images (2019) (0)
- Tree Stack Memory Units (2019) (0)
- MP41-08 ADVANCED TECHNIQUES TO IMPROVE VIDEO-BASED AUTOMATION OF SUTURING SKILLS ASSESSMENT (2022) (0)
- Title Scalable Latent Tree Model and its Application to Health Analytics Permalink (2015) (0)
- Reconstruction of Random Graphs With Few Participants (2010) (0)
- Research Statement 1.1 Distributed Inference of Dependency Graph Models (2009) (0)
- Predictive Modeling in Online Learning Environments (2015) (0)
- Neural Operators for Solving PDEs and Inverse Design (2023) (0)
- Latent Dirichlet Allocation on Spark via Tensor Decomposition (2015) (0)
- R EL V I T: C ONCEPT - GUIDED V ISION T RANSFORMER FOR V ISUAL R ELATIONAL R EASONING (2022) (0)
- Convolutional Tensor-Train LSTM for Long-Term Video Prediction (2019) (0)
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