Anima Anandkumar

LeanAgent: Lifelong Learning for Formal Theorem Proving ICLR 2025 Robust Representation Consistency Model via Contrastive Denoising ICLR 2025 Diffusion State-Guided Projected Gradient for Inverse Problems ICLR 2025 Off-policy Predictive Control with Causal Sensitivity Analysis UAI 2025 Sequential Controlled Langevin Diffusions ICLR 2025 Geometric Operator Learning with Optimal Transport JMLR 2025 Score-Based Diffusion Models in Function Space JMLR 2025 A Unified Model for Compressed Sensing MRI Across Undersampling Patterns CVPR 2025 Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing CVPR 2025 T-Stitch: Accelerating Sampling in Pre-Trained Diffusion Models with Trajectory Stitching ICLR 2025 Eureka: Human-Level Reward Design via Coding Large Language Models ICLR 2024 Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo ICLR 2024 Neural Operators with Localized Integral and Differential Kernels ICML 2024 DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training ICML 2024 Efficient Video Diffusion Models via Content-Frame Motion-Latent Decomposition ICLR 2024 Solving Poisson Equations using Neural Walk-on-Spheres ICML 2024 ChatGPT Based Data Augmentation for Improved Parameter-Efficient Debiasing of LLMs EACL 2024 Combating Security and Privacy Issues in the Era of Large Language Models NAACL 2024 Improving Distant 3D Object Detection Using 2D Box Supervision CVPR 2024 PerAda: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees CVPR 2024 CARE: a Benchmark Suite for the Classification and Retrieval of Enzymes NIPS 2024 Easy2Hard-Bench: Standardized Difficulty Labels for Profiling LLM Performance and Generalization NIPS 2024 Mini-Sequence Transformers: Optimizing Intermediate Memory for Long Sequences Training NIPS 2024 Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs NIPS 2024 Equivariant Graph Neural Operator for Modeling 3D Dynamics ICML 2024 GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection ICML 2024 Autoformalizing Euclidean Geometry ICML 2024 Guaranteed Approximation Bounds for Mixed-Precision Neural Operators ICLR 2024 VoxFormer: Sparse Voxel Transformer for Camera-Based 3D Semantic Scene Completion CVPR 2023 FocalFormer3D: Focusing on Hard Instance for 3D Object Detection ICCV 2023 DensePure: Understanding Diffusion Models for Adversarial Robustness ICLR 2023 Retrieval-based Controllable Molecule Generation ICLR 2023 Fast Sampling of Diffusion Models via Operator Learning ICML 2023 Fourier Neural Operator with Learned Deformations for PDEs on General Geometries JMLR 2023 Neural Operator: Learning Maps Between Function Spaces With Applications to PDEs JMLR 2023 I$^2$SB: Image-to-Image Schrödinger Bridge ICML 2023 MimicPlay: Long-Horizon Imitation Learning by Watching Human Play CORL 2023 VIMA: Robot Manipulation with Multimodal Prompts ICML 2023 Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere ICML 2023 Vision Transformers Are Good Mask Auto-Labelers CVPR 2023 Fast Monocular Scene Reconstruction With Global-Sparse Local-Dense Grids CVPR 2023 FB-BEV: BEV Representation from Forward-Backward View Transformations ICCV 2023 Context Generation Improves Open Domain Question Answering EACL 2023 Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study EMNLP 2023 Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning EMNLP 2023 Spacetime Surface Regularization for Neural Dynamic Scene Reconstruction ICCV 2023 Fully Attentional Networks with Self-emerging Token Labeling ICCV 2023 End-to-end 3D Tracking with Decoupled Queries ICCV 2023 ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation RSS 2022 RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning ICLR 2022 Pre-Trained Language Models for Interactive Decision-Making NIPS 2022 PeRFception: Perception using Radiance Fields NIPS 2022 MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge NIPS 2022 Learning Chaotic Dynamics in Dissipative Systems NIPS 2022 Robust Trajectory Prediction against Adversarial Attacks CORL 2022 Efficient Token Mixing for Transformers via Adaptive Fourier Neural Operators ICLR 2022 Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language Models NIPS 2022 AdvDO: Realistic Adversarial Attacks for Trajectory Prediction ECCV 2022 Finite-Time Regret of Thompson Sampling Algorithms for Exponential Family Multi-Armed Bandits NIPS 2022 Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models NIPS 2022 MinVIS: A Minimal Video Instance Segmentation Framework without Video-based Training NIPS 2022 Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object Interactions CVPR 2022 FreeSOLO: Learning To Segment Objects Without Annotations CVPR 2022 Not All Labels Are Equal: Rationalizing the Labeling Costs for Training Object Detection CVPR 2022 Panoptic SegFormer: Delving Deeper Into Panoptic Segmentation With Transformers CVPR 2022 Augmenting Deep Classifiers with Polynomial Neural Networks ECCV 2022 Contrastive Syn-to-Real Generalization ICLR 2021 AugMax: Adversarial Composition of Random Augmentations for Robust Training NIPS 2021 Coupled Segmentation and Edge Learning via Dynamic Graph Propagation NIPS 2021 SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers NIPS 2021 Controllable and Compositional Generation with Latent-Space Energy-Based Models NIPS 2021 Adversarially Robust 3D Point Cloud Recognition Using Self-Supervisions NIPS 2021 Long-Short Transformer: Efficient Transformers for Language and Vision NIPS 2021 Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds NIPS 2021 Adversarial Skill Chaining for Long-Horizon Robot Manipulation via Terminal State Regularization CORL 2021 DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence From Box Supervision ICCV 2021 Self-Calibrating Neural Radiance Fields ICCV 2021 Fourier Neural Operator for Parametric Partial Differential Equations ICLR 2021 Coach-Player Multi-agent Reinforcement Learning for Dynamic Team Composition ICML 2021 Stability and Identification of Random Asynchronous Linear Time-Invariant Systems L4DC 2021 Stable Online Control of Linear Time-Varying Systems L4DC 2021 Finite-time System Identification and Adaptive Control in Autoregressive Exogenous Systems L4DC 2021 Competitive policy optimization UAI 2021 Robust Regression for Safe Exploration in Control L4DC 2020 MEGATRON-CNTRL: Controllable Story Generation with External Knowledge Using Large-Scale Language Models EMNLP 2020 Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning NIPS 2020 Convolutional Tensor-Train LSTM for Spatio-Temporal Learning NIPS 2020 Learning compositional functions via multiplicative weight updates NIPS 2020 Causal Discovery in Physical Systems from Videos NIPS 2020 Multipole Graph Neural Operator for Parametric Partial Differential Equations NIPS 2020 Neural Networks with Recurrent Generative Feedback NIPS 2020 Tensor Regression Networks JMLR 2020 Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion CORL 2020 Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems NIPS 2020 Competitive Gradient Descent NIPS 2019 TensorLy: Tensor Learning in Python JMLR 2019 signSGD with Majority Vote is Communication Efficient and Fault Tolerant ICLR 2019 Active Learning with Partial Feedback ICLR 2019 Guaranteed Scalable Learning of Latent Tree Models UAI 2019 Probabilistic FastText for Multi-Sense Word Embeddings ACL 2018 Born Again Neural Networks ICML 2018 Homotopy Analysis for Tensor PCA COLT 2017 Spectral Methods for Correlated Topic Models AISTATS 2017 Tensor vs. Matrix Methods: Robust Tensor Decomposition under Block Sparse Perturbations AISTATS 2016 Online and Differentially-Private Tensor Decomposition NIPS 2016 Provable Tensor Methods for Learning Mixtures of Generalized Linear Models AISTATS 2016 Fast and Guaranteed Tensor Decomposition via Sketching NIPS 2015 Multi-Step Stochastic ADMM in High Dimensions: Applications to Sparse Optimization and Matrix Decomposition NIPS 2014 When are Overcomplete Topic Models Identifiable? Uniqueness of Tensor Tucker Decompositions with Structured Sparsity NIPS 2013 Learning Mixtures of Tree Graphical Models NIPS 2012 A Spectral Algorithm for Latent Dirichlet Allocation NIPS 2012 Latent Graphical Model Selection: Efficient Methods for Locally Tree-like Graphs NIPS 2012