← Authors

Anima Anandkumar

112 papers · 2012–2025 · 17 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (13) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (13) 🌍 Conference Polyglot (17) 🌈 Renaissance Researcher (7) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (29) 🏠 Conference Loyalist (34) πŸ† Keyword Champion (4) πŸ‘‘ Triple Crown 🧬 Topic Evolution πŸ”¬ Deep Specialist (11) 🀝 Dynamic Duo (24) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer ⚑ Prolific Year (17) πŸ”₯ Unstoppable (14) ❓ The Questioner (2) πŸ—ƒοΈ Keyword Collector (84) πŸ’Ž Century Club (112)

Conferences

NIPS (34) ICLR (17) ICML (12) CVPR (11) ICCV (7) JMLR (6) L4DC (4) CORL (4) UAI (3) EMNLP (3) AISTATS (3) ECCV (2) EACL (2) COLT (1) NAACL (1) RSS (1) ACL (1)

Top co-authors

Zhiding Yu (24) Chaowei Xiao (18) Kamyar Azizzadenesheli (16) Yuke Zhu (15) Weili Nie (12) Jose M. Alvarez (11) De-An Huang (10) Jean Kossaifi (9) Zongyi Li (8) Bryan Catanzaro (7)

Research topics

Models (1) Reinforcement Learning (1) Core AI (1)

Keywords

tensor decomposition (7) large language model (7) semantic segmentation (6) neural network (5) convolutional neural network (4) diffusion model (4) parameter estimation (4) instance segmentation (4) object detection (4) few-shot learning (4) neural operator (4) regret bound (3) image classification (3) graphical model (3) system identification (3) adversarial training (3) data augmentation (3) multimodal learning (3) adversarial robustness (3) transformer architecture (3)

Papers

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 SchrΓΆdinger 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