Anima Anandkumar
Caltech professor and former NVIDIA director of ML research; pioneer in tensor methods and AI for science.
- Role
- professor
- Currently at
- Independent
- twitter.com/AnimaAnandkumar
- Scholar
- scholar.google.com/citations
- Papers
- 38
Cite
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Authored papers
38Operator Learning Using Weak Supervision from Walk-on-Spheres
arXiv 2026
R-KV: Redundancy-aware KV Cache Compression for Training-Free Reasoning Models Acceleration
arXiv 2025
Guided Diffusion Sampling on Function Spaces with Applications to PDEs
arXiv 2025
Principled Approaches for Extending Neural Architectures to Function Spaces for Operator Learning
arXiv 2025
HeadInfer: Memory-Efficient LLM Inference by Head-wise Offloading
arXiv 2025
Robust Representation Consistency Model via Contrastive Denoising
arXiv 2025
GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection
arXiv 2024
A Unified Model for Compressed Sensing MRI Across Undersampling Patterns
CVPR 2025 1
LeanAgent: Lifelong Learning for Formal Theorem Proving
arXiv 2024
Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs
arXiv 2024
Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing
CVPR 2025 1
T-Stitch: Accelerating Sampling in Pre-Trained Diffusion Models with Trajectory Stitching
arXiv 2024
Mini-Sequence Transformer: Optimizing Intermediate Memory for Long Sequences Training
arXiv 2024
CARE: a Benchmark Suite for the Classification and Retrieval of Enzymes
arXiv 2024
ChatGPT Based Data Augmentation for Improved Parameter-Efficient Debiasing of LLMs
arXiv 2024
Multi-Modal Self-Supervised Learning for Surgical Feedback Effectiveness Assessment
arXiv 2024
DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training
arXiv 2024
Fully Attentional Networks with Self-emerging Token Labeling
fully-attentional-networks-with-self-emerging
Automating Feedback Analysis in Surgical Training: Detection, Categorization, and Assessment
arXiv 2024
Voyager: An Open-Ended Embodied Agent with Large Language Models
arXiv 2023
LeanDojo: Theorem Proving with Retrieval-Augmented Language Models
leandojo-theorem-proving-with-retrieval
Eureka: Human-Level Reward Design via Coding Large Language Models
arXiv 2023
FB-BEV: BEV Representation from Forward-Backward View Transformations
ICCV 2023 1
VoxFormer: Sparse Voxel Transformer for Camera-based 3D Semantic Scene Completion
CVPR 2023 1
Prismer: A Vision-Language Model with Multi-Task Experts
arXiv 2023
A Text-guided Protein Design Framework
arXiv 2023
Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo
arXiv 2023
MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge
arXiv 2022
Multi-modal Molecule Structure-text Model for Text-based Retrieval and Editing
arXiv 2022
Diffusion Models for Adversarial Purification
arXiv 2022
VIMA: General Robot Manipulation with Multimodal Prompts
arXiv 2022
Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language Models
arXiv 2022
Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object Interactions
CVPR 2022 1
Fast Sampling of Diffusion Models via Operator Learning
arXiv 2022
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
NeurIPS 2021 12
Neural Operator: Learning Maps Between Function Spaces
arXiv 2021
Panoptic SegFormer: Delving Deeper into Panoptic Segmentation with Transformers
CVPR 2022 1
ZerO Initialization: Initializing Neural Networks with only Zeros and Ones
zero-initialization-initializing-residual
Affiliations
Previously
Frequent co-authors
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