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Viewing Publication 1 - 100 from 160

2025

Lean Copilot: Large Language Models as Copilots for Theorem Proving in LeanPeiyang Song 0002, Kaiyu Yang, Anima Anandkumar. neus 2025: 144-169 [doi]

Sequential Controlled Langevin DiffusionsJunhua Chen, Lorenz Richter, Julius Berner, Denis Blessing, Gerhard Neumann, Anima Anandkumar. iclr 2025: [doi]

A Unified Model for Compressed Sensing MRI Across Undersampling PatternsArmeet Singh Jatyani, Jiayun Wang, Aditi Chandrashekar, Zihui Wu, Miguel Liu-Schiaffini, Bahareh Tolooshams, Anima Anandkumar. cvpr 2025: 26004-26013 [doi]

LeanAgent: Lifelong Learning for Formal Theorem ProvingAdarsh Kumarappan, Mo Tiwari, Peiyang Song 0002, Robert Joseph George, Chaowei Xiao, Anima Anandkumar. iclr 2025: [doi]

Robust Representation Consistency Model via Contrastive DenoisingJiachen Lei, Julius Berner, Jiongxiao Wang, Zhongzhu Chen, Chaowei Xiao, Zhongjie Ba, Kui Ren 0001, Jun Zhu 0001, Anima Anandkumar. iclr 2025: [doi]

A text-guided protein design frameworkShengchao Liu, Yanjing Li, Zhuoxinran Li, Anthony Gitter, Yutao Zhu 0001, Jiarui Lu, Zhao Xu 0005, Weili Nie, Arvind Ramanathan, Chaowei Xiao, Jian Tang 0005, Hongyu Guo, Anima Anandkumar. natmi, 7(4):580-591, 2025. [doi]

Off-policy Predictive Control with Causal Sensitivity AnalysisMyrl G. Marmarelis, Ali-Hasan, Kamyar Azizzadenesheli, R. Michael Alvarez, Anima Anandkumar. uai 2025: 2958-2972 [doi]

T-Stitch: Accelerating Sampling in Pre-Trained Diffusion Models with Trajectory StitchingZizheng Pan, Bohan Zhuang, De-An Huang, Weili Nie, Zhiding Yu, Chaowei Xiao, Jianfei Cai 0001, Anima Anandkumar. iclr 2025: [doi]

Improving Diffusion Inverse Problem Solving with Decoupled Noise AnnealingBingliang Zhang, Wenda Chu, Julius Berner, Chenlin Meng, Anima Anandkumar, Yang Song 0011. cvpr 2025: 20895-20905 [doi]

Artificial Intelligence for Science in Quantum, Atomistic, and Continuum SystemsXuan Zhang, Limei Wang, Jacob Helwig, Youzhi Luo, Cong Fu 0003, Yaochen Xie, Meng Liu 0015, Yuchao Lin, Zhao Xu 0005, Keqiang Yan, Keir Adams, Maurice Weiler, Xiner Li, Tianfan Fu, Yucheng Wang, Alex Strasser, Haiyang Yu 0005, Yuqing Xie 0006, Xiang Fu 0005, Shenglong Xu, Yi Liu 0059, Yuanqi Du, Alexandra Saxton, Hongyi Ling, Hannah Lawrence, Hannes Stärk, Shurui Gui, Carl Edwards, Nicholas Gao, Adriana Ladera, Tailin Wu, Elyssa F. Hofgard, Aria Mansouri Tehrani, Rui Wang 0086, Ameya Daigavane, Montgomery Bohde, Jerry Kurtin, Qian Huang, Tuong Phung, Minkai Xu, Chaitanya K. Joshi, Simon V. Mathis, Kamyar Azizzadenesheli, Ada Fang, Alán Aspuru-Guzik, Erik J. Bekkers, Michael M. Bronstein, Marinka Zitnik, Anima Anandkumar, Stefano Ermon, Pietro Liò, Rose Yu, Stephan Günnemann, Jure Leskovec, Heng Ji 0001, Jimeng Sun 0001, Regina Barzilay, Tommi S. Jaakkola, Connor W. Coley, Xiaoning Qian, Xiaofeng Qian, Tess E. Smidt, Shuiwang Ji. ftml, 18(4):385-912, 2025. [doi]

Diffusion State-Guided Projected Gradient for Inverse ProblemsRayhan Zirvi, Bahareh Tolooshams, Anima Anandkumar. iclr 2025: [doi]

2024

Stability Constrained Reinforcement Learning for Decentralized Real-Time Voltage ControlJie Feng 0006, Yuanyuan Shi, Guannan Qu, Steven H. Low, Anima Anandkumar, Adam Wierman. tcns, 11(3):1370-1381, September 2024. [doi]

Incremental Spatial and Spectral Learning of Neural Operators for Solving Large-Scale PDEsRobert Joseph George, Jiawei Zhao, Jean Kossaifi, Zongyi Li, Anima Anandkumar. tmlr, 2024, 2024. [doi]

Multi-Modal Self-Supervised Learning for Surgical Feedback Effectiveness AssessmentArushi Gupta, Rafal Kocielnik, Jiayun Wang, Firdavs Nasriddinov, Cherine Yang, Elyssa Y. Wong, Anima Anandkumar, Andrew J. Hung. ml4h 2024: 440-455 [doi]

DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-TrainingZhongkai Hao, Chang Su, Songming Liu, Julius Berner, Chengyang Ying, Hang Su 0006, Anima Anandkumar, Jian Song, Jun Zhu 0001. icml 2024: [doi]

What is Point Supervision Worth in Video Instance Segmentation?Shuaiyi Huang, De-An Huang, Zhiding Yu, Shiyi Lan, Subhashree Radhakrishnan, José M. Álvarez 0004, Abhinav Shrivastava, Anima Anandkumar. cvpr 2024: 2671-2681 [doi]

ARDuP: Active Region Video Diffusion for Universal PoliciesShuaiyi Huang, Mara Levy, Zhenyu Jiang 0002, Anima Anandkumar, Yuke Zhu, Linxi Fan, De-An Huang, Abhinav Shrivastava. iros 2024: 8465-8472 [doi]

Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte CarloHaque Ishfaq, Qingfeng Lan, Pan Xu 0002, A. Rupam Mahmood, Doina Precup, Anima Anandkumar, Kamyar Azizzadenesheli. iclr 2024: [doi]

Human AI collaboration for unsupervised categorization of live surgical feedbackRafal Kocielnik, Cherine H. Yang, Runzhuo Ma, Steven Y. Cen, Elyssa Y. Wong, Timothy N. Chu, J. Everett Knudsen, Peter Wager, John Heard, Umar Ghaffar, Anima Anandkumar, Andrew J. Hung. npjdm, 7(1), 2024. [doi]

Multi-Grid Tensorized Fourier Neural Operator for High- Resolution PDEsJean Kossaifi, Nikola Borislavov Kovachki, Kamyar Azizzadenesheli, Anima Anandkumar. tmlr, 2024, 2024. [doi]

Neural Operators with Localized Integral and Differential KernelsMiguel Liu-Schiaffini, Julius Berner, Boris Bonev, Thorsten Kurth, Kamyar Azizzadenesheli, Anima Anandkumar. icml 2024: [doi]

Prismer: A Vision-Language Model with Multi-Task ExpertsShikun Liu, Linxi Fan, Edward Johns, Zhiding Yu, Chaowei Xiao, Anima Anandkumar. tmlr, 2024, 2024. [doi]

Eureka: Human-Level Reward Design via Coding Large Language ModelsYecheng Jason Ma, William Liang, Guanzhi Wang, De-An Huang, Osbert Bastani, Dinesh Jayaraman, Yuke Zhu, Linxi Fan, Anima Anandkumar. iclr 2024: [doi]

Calibrated Uncertainty Quantification for Operator Learning via Conformal PredictionZiqi Ma, David Pitt, Kamyar Azizzadenesheli, Anima Anandkumar. tmlr, 2024, 2024. [doi]

Autoformalizing Euclidean GeometryLogan Murphy, Kaiyu Yang, Jialiang Sun, Zhaoyu Li, Anima Anandkumar, Xujie Si. icml 2024: [doi]

Solving Poisson Equations using Neural Walk-on-SpheresHong Chul Nam, Julius Berner, Anima Anandkumar. icml 2024: [doi]

Automating Feedback Analysis in Surgical Training: Detection, Categorization, and AssessmentFirdavs Nasriddinov, Rafal Kocielnik, Arushi Gupta, Cherine Yang, Elyssa Y. Wong, Anima Anandkumar, Andrew J. Hung. ml4h 2024: 787-804 [doi]

Action-conditional implicit visual dynamics for deformable object manipulationBokui Shen, Zhenyu Jiang 0002, Christopher Bongsoo Choy, Silvio Savarese, Leonidas J. Guibas, Anima Anandkumar, Yuke Zhu. ijrr, 43(4):437-455, 2024. [doi]

Guaranteed Approximation Bounds for Mixed-Precision Neural OperatorsRenbo Tu, Colin White, Jean Kossaifi, Boris Bonev, Gennady Pekhimenko, Kamyar Azizzadenesheli, Anima Anandkumar. iclr 2024: [doi]

SF3D: SlowFast Temporal 3D Object DetectionRenhao Wang, Zhiding Yu, Shiyi Lan, Enze Xie, Ke Chen, Anima Anandkumar, José M. Álvarez 0004. ivs 2024: 1280-1285 [doi]

Voyager: An Open-Ended Embodied Agent with Large Language ModelsGuanzhi Wang, Yuqi Xie, Yunfan Jiang 0001, Ajay Mandlekar, Chaowei Xiao, Yuke Zhu, Linxi Fan, Anima Anandkumar. tmlr, 2024, 2024. [doi]

Perada: Parameter-Efficient Federated Learning Personalization with Generalization GuaranteesChulin Xie, De-An Huang, Wenda Chu, Daguang Xu, Chaowei Xiao, Bo Li 0026, Anima Anandkumar. cvpr 2024: 23838-23848 [doi]

Equivariant Graph Neural Operator for Modeling 3D DynamicsMinkai Xu, Jiaqi Han, Aaron Lou, Jean Kossaifi, Arvind Ramanathan, Kamyar Azizzadenesheli, Jure Leskovec, Stefano Ermon, Anima Anandkumar. icml 2024: [doi]

Improving Distant 3D Object Detection Using 2D Box SupervisionZetong Yang, Zhiding Yu, Christopher B. Choy, Renhao Wang, Anima Anandkumar, José M. Álvarez 0004. cvpr 2024: 14853-14863 [doi]

Efficient Video Diffusion Models via Content-Frame Motion-Latent DecompositionSihyun Yu, Weili Nie, De-An Huang, Boyi Li, Jinwoo Shin, Anima Anandkumar. iclr 2024: [doi]

GaLore: Memory-Efficient LLM Training by Gradient Low-Rank ProjectionJiawei Zhao, Zhenyu Zhang 0015, Beidi Chen, Zhangyang Wang, Anima Anandkumar, Yuandong Tian. icml 2024: [doi]

Fast Training of Diffusion Models with Masked TransformersHongkai Zheng, Weili Nie, Arash Vahdat, Anima Anandkumar. tmlr, 2024, 2024. [doi]

2023

Retrieval-based Controllable Molecule GenerationZichao Wang 0001, Weili Nie, Zhuoran Qiao, Chaowei Xiao, Richard G. Baraniuk, Anima Anandkumar. iclr 2023: [doi]

Context Generation Improves Open Domain Question AnsweringDan Su 0003, Mostofa Patwary, Shrimai Prabhumoye, Peng Xu 0008, Ryan Prenger, Mohammad Shoeybi, Pascale Fung, Anima Anandkumar, Bryan Catanzaro. eacl 2023: 781-796 [doi]

Neural Operators for Solving PDEs and Inverse DesignAnima Anandkumar. ispd 2023: 195 [doi]

Spherical Fourier Neural Operators: Learning Stable Dynamics on the SphereBoris Bonev, Thorsten Kurth, Christian Hundt 0002, Jaideep Pathak, Maximilian Baust, Karthik Kashinath, Anima Anandkumar. icml 2023: 2806-2823 [doi]

FocalFormer3D : Focusing on Hard Instance for 3D Object DetectionYilun Chen, Zhiding Yu, Yukang Chen, Shiyi Lan, Anima Anandkumar, Jiaya Jia, José M. Álvarez 0004. iccv 2023: 8360-8371 [doi]

Spacetime Surface Regularization for Neural Dynamic Scene ReconstructionJaesung Choe, Christopher B. Choy, Jaesik Park, In-So Kweon, Anima Anandkumar. iccv 2023: 17825-17835 [doi]

#COVIDisAirborne: AI-enabled multiscale computational microscopy of delta SARS-CoV-2 in a respiratory aerosolAbigail C. Dommer, Lorenzo Casalino, Fiona L. Kearns, Mia Rosenfeld, Nicholas Wauer, Surl-Hee Ahn, John Russo, A. Sofia F. Oliveira, Clare Morris, Anthony T. Bogetti, Anda Trifan, Alexander Brace, Terra Sztain, Austin Clyde, Heng Ma, S. Chakra Chennubhotla, Hyungro Lee, Matteo Turilli, Syma Khalid, Teresa Tamayo-Mendoza, Matthew Welborn, Anders S. Christensen, Daniel G. A. Smith, Zhuoran Qiao, Sai K. Sirumalla, Michael O'Connor, Frederick R. Manby, Anima Anandkumar, David J. Hardy, James C. Phillips, Abraham C. Stern, Josh Romero, David Clark, Mitchell Dorrell, Tom Maiden, Lei Huang 0019, John D. McCalpin, Christopher J. Woods, Alan Gray, Matt Williams, Bryan Barker, Harinda Rajapaksha, Richard Pitts, Tom Gibbs, John E. Stone, Daniel M. Zuckerman, Adrian J. Mulholland, Thomas Miller, Shantenu Jha, Arvind Ramanathan, Lillian T. Chong, Rommie E. Amaro. ijhpca, 37(1):28-44, 2023. [doi]

Fast Monocular Scene Reconstruction with Global-Sparse Local-Dense GridsWei Dong, Christopher B. Choy, Charles Loop, Or Litany, Yuke Zhu, Anima Anandkumar. cvpr 2023: 4263-4272 [doi]

EKGNet: A 10.96μW Fully Analog Neural Network for Intra-Patient Arrhythmia ClassificationBenyamin Allahgholizadeh Haghi, Lin Ma, Sahin Lale, Anima Anandkumar, Azita Emami. biocas 2023: 1-5 [doi]

Capturing fine-grained details for video-based automation of suturing skills assessmentAndrew J. Hung, Richard Bao, Idris O. Sunmola, De-An Huang, Jessica H. Nguyen, Anima Anandkumar. cars, 18(3):545-552, March 2023. [doi]

VIMA: Robot Manipulation with Multimodal PromptsYunfan Jiang, Agrim Gupta, Zichen Zhang 0011, Guanzhi Wang, Yongqiang Dou, Yanjun Chen, Li Fei-Fei 0001, Anima Anandkumar, Yuke Zhu, Linxi Fan. icml 2023: 14975-15022 [doi]

Thompson Sampling for Partially Observable Linear-Quadratic ControlTaylan Kargin, Sahin Lale, Kamyar Azizzadenesheli, Anima Anandkumar, Babak Hassibi. amcc 2023: 4561-4568 [doi]

Deep Multimodal Fusion for Surgical Feedback ClassificationRafal Kocielnik, Elyssa Y. Wong, Timothy N. Chu, Lydia Lin, De-An Huang, Jiayun Wang, Anima Anandkumar, Andrew J. Hung. ml4h 2023: 256-267 [doi]

Neural Operator: Learning Maps Between Function Spaces With Applications to PDEsNikola B. Kovachki, Zongyi Li, Burigede Liu, Kamyar Azizzadenesheli, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar. jmlr, 24, 2023. [doi]

FourCastNet: Accelerating Global High-Resolution Weather Forecasting Using Adaptive Fourier Neural OperatorsThorsten Kurth, Shashank Subramanian, Peter Harrington, Jaideep Pathak, Morteza Mardani, David Hall, Andrea Miele, Karthik Kashinath, Anima Anandkumar. pasc 2023: [doi]

KCRL: Krasovskii-Constrained Reinforcement Learning with Guaranteed Stability in Nonlinear Discrete-Time SystemsSahin Lale, Yuanyuan Shi, Guannan Qu, Kamyar Azizzadenesheli, Adam Wierman, Anima Anandkumar. cdc 2023: 1334-1341 [doi]

Vision Transformers are Good Mask Auto-LabelersShiyi Lan, Xitong Yang, Zhiding Yu, Zuxuan Wu, José M. Álvarez 0004, Anima Anandkumar. cvpr 2023: 23745-23755 [doi]

End-to-end 3D Tracking with Decoupled QueriesYanwei Li, Zhiding Yu, Jonah Philion, Anima Anandkumar, Sanja Fidler, Jiaya Jia, Jose Alvarez. iccv 2023: 18256-18265 [doi]

FB-BEV: BEV Representation from Forward-Backward View TransformationsZhiqi Li, Zhiding Yu, Wenhai Wang, Anima Anandkumar, Tong Lu, José M. Álvarez 0004. iccv 2023: 6896-6905 [doi]

Fourier Neural Operator with Learned Deformations for PDEs on General GeometriesZongyi Li, Daniel Zhengyu Huang, Burigede Liu, Anima Anandkumar. jmlr, 24, 2023. [doi]

VoxFormer: Sparse Voxel Transformer for Camera-Based 3D Semantic Scene CompletionYiming Li, Zhiding Yu, Christopher B. Choy, Chaowei Xiao, José M. Álvarez 0004, Sanja Fidler, Chen Feng 0002, Anima Anandkumar. cvpr 2023: 9087-9098 [doi]

2SB: Image-to-Image Schrödinger BridgeGuan-Horng Liu, Arash Vahdat, De-An Huang, Evangelos A. Theodorou, Weili Nie, Anima Anandkumar. icml 2023: 22042-22062 [doi]

Quantum Goemans-Williamson Algorithm with the Hadamard Test and Approximate Amplitude ConstraintsTaylor L. Patti, Jean Kossaifi, Anima Anandkumar, Susanne F. Yelin. quantum, 7:1057, July 2023. [doi]

Dr-Fairness: Dynamic Data Ratio Adjustment for Fair Training on Real and Generated DataYuji Roh, Weili Nie, De-An Huang, Steven Euijong Whang, Arash Vahdat, Anima Anandkumar. tmlr, 2023, 2023. [doi]

Exploring Social Bias in Downstream Applications of Text-to-Image Foundation ModelsAdhithya Prakash Saravanan, Rafal Kocielnik, Roy Jiang, Pengrui Han, Anima Anandkumar. icbinb 2023: 84-102 [doi]

MimicPlay: Long-Horizon Imitation Learning by Watching Human PlayChen Wang, Linxi Fan, Jiankai Sun, Ruohan Zhang, Li Fei-Fei 0001, Danfei Xu, Yuke Zhu, Anima Anandkumar. corl 2023: 201-221 [doi]

Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive StudyBoxin Wang, Wei Ping, Peng Xu, Lawrence McAfee, Zihan Liu, Mohammad Shoeybi, Yi Dong, Oleksii Kuchaiev, Bo Li, Chaowei Xiao, Anima Anandkumar, Bryan Catanzaro. emnlp 2023: 7763-7786 [doi]

DensePure: Understanding Diffusion Models for Adversarial RobustnessChaowei Xiao, Zhongzhu Chen, Kun Jin, Jiongxiao Wang, Weili Nie, Mingyan Liu, Anima Anandkumar, Bo Li 0026, Dawn Song. iclr 2023: [doi]

Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image CaptioningZhuolin Yang, Wei Ping, Zihan Liu, Vijay Korthikanti, Weili Nie, De-An Huang, Linxi Fan, Zhiding Yu, Shiyi Lan, Bo Li, Mohammad Shoeybi, Ming-Yu Liu 0001, Yuke Zhu, Bryan Catanzaro, Chaowei Xiao, Anima Anandkumar. emnlp 2023: 11844-11857 [doi]

Fully Attentional Networks with Self-emerging Token LabelingBingyin Zhao, Zhiding Yu, Shiyi Lan, Yutao Cheng, Anima Anandkumar, Yingjie Lao, José M. Álvarez 0004. iccv 2023: 5562-5572 [doi]

Fast Sampling of Diffusion Models via Operator LearningHongkai Zheng, Weili Nie, Arash Vahdat, Kamyar Azizzadenesheli, Anima Anandkumar. icml 2023: 42390-42402 [doi]

2022

ScaDL 2022 Invited Talk 3: Million-x speedups through convergence of AI and HPCAnima Anandkumar. ipps 2022: 1041 [doi]

Robust Trajectory Prediction against Adversarial AttacksYulong Cao, Danfei Xu, Xinshuo Weng, Zhuoqing Mao, Anima Anandkumar, Chaowei Xiao, Marco Pavone 0001. corl 2023: 128-137 [doi]

AdvDO: Realistic Adversarial Attacks for Trajectory PredictionYulong Cao, Chaowei Xiao, Anima Anandkumar, Danfei Xu, Marco Pavone. eccv 2022: 36-52 [doi]

Augmenting Deep Classifiers with Polynomial Neural NetworksGrigorios G. Chrysos, Markos Georgopoulos, Jiankang deng, Jean Kossaifi, Yannis Panagakis, Anima Anandkumar. eccv 2022: 692-716 [doi]

Not All Labels Are Equal: Rationalizing The Labeling Costs for Training Object DetectionIsmail Elezi, Zhiding Yu, Anima Anandkumar, Laura Leal-Taixé, Jose M. Alvarez. cvpr 2022: 14472-14481 [doi]

MineDojo: Building Open-Ended Embodied Agents with Internet-Scale KnowledgeLinxi Fan, Guanzhi Wang, Yunfan Jiang, Ajay Mandlekar, Yuncong Yang, Haoyi Zhu, Andrew Tang, De-An Huang, Yuke Zhu, Anima Anandkumar. nips 2022: [doi]

Efficient Token Mixing for Transformers via Adaptive Fourier Neural OperatorsJohn Guibas, Morteza Mardani, Zongyi Li, Andrew Tao, Anima Anandkumar, Bryan Catanzaro. iclr 2022: [doi]

MinVIS: A Minimal Video Instance Segmentation Framework without Video-based TrainingDe-An Huang, Zhiding Yu, Anima Anandkumar. nips 2022: [doi]

PeRFception: Perception using Radiance FieldsYoonwoo Jeong, Seungjoo Shin, Junha Lee, Christopher B. Choy, Anima Anandkumar, Minsu Cho, Jaesik Park. nips 2022: [doi]

Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object InteractionsHuaizu Jiang, Xiaojian Ma, Weili Nie, Zhiding Yu, Yuke Zhu, Anima Anandkumar. cvpr 2022: 19034-19043 [doi]

Finite-Time Regret of Thompson Sampling Algorithms for Exponential Family Multi-Armed BanditsTianyuan Jin, Pan Xu 0002, Xiaokui Xiao, Anima Anandkumar. nips 2022: [doi]

Can You Label Less by Using Out-of-Domain Data? Active & Transfer Learning with Few-shot InstructionsRafal Kocielnik, Sara Kangaslahti, Shrimai Prabhumoye, Meena Hari, R. Michael Alvarez, Anima Anandkumar. tl4nlp 2022: 22-32 [doi]

Pre-Trained Language Models for Interactive Decision-MakingShuang Li, Xavier Puig, Chris Paxton, Yilun Du, Clinton Wang, Linxi Fan, Tao Chen 0046, De-An Huang, Ekin Akyürek, Anima Anandkumar, Jacob Andreas, Igor Mordatch, Antonio Torralba 0001, Yuke Zhu. nips 2022: [doi]

Learning Chaotic Dynamics in Dissipative SystemsZongyi Li, Miguel Liu-Schiaffini, Nikola B. Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar. nips 2022: [doi]

RelViT: Concept-guided Vision Transformer for Visual Relational ReasoningXiaojian Ma, Weili Nie, Zhiding Yu, Huaizu Jiang, Chaowei Xiao, Yuke Zhu, Song Chun Zhu, Anima Anandkumar. iclr 2022: [doi]

Neural-Fly enables rapid learning for agile flight in strong windsMichael O'Connell, Guanya Shi, Xichen Shi, Kamyar Azizzadenesheli, Anima Anandkumar, Yisong Yue, Soon Jo Chung. scirobotics, 7(66), 2022. [doi]

Generative Adversarial Neural OperatorsMd Ashiqur Rahman, Manuel A. Florez, Anima Anandkumar, Zachary E. Ross, Kamyar Azizzadenesheli. tmlr, 2022, 2022. [doi]

ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object ManipulationBokui Shen, Zhenyu Jiang 0002, Christopher B. Choy, Silvio Savarese, Leonidas J. Guibas, Anima Anandkumar, Yuke Zhu. rss 2022: [doi]

Stability Constrained Reinforcement Learning for Real-Time Voltage ControlYuanyuan Shi, Guannan Qu, Steven H. Low, Anima Anandkumar, Adam Wierman. amcc 2022: 2715-2721 [doi]

Machine Learning Accelerated PDE Backstepping ObserversYuanyuan Shi, Zongyi Li, Huan Yu, Drew Steeves, Anima Anandkumar, Miroslav Krstic. cdc 2022: 5423-5428 [doi]

Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language ModelsManli Shu, Weili Nie, De-An Huang, Zhiding Yu, Tom Goldstein, Anima Anandkumar, Chaowei Xiao. nips 2022: [doi]

FreeSOLO: Learning to Segment Objects without AnnotationsXinlong Wang, Zhiding Yu, Shalini De Mello, Jan Kautz, Anima Anandkumar, Chunhua Shen, Jose M. Alvarez. cvpr 2022: 14156-14166 [doi]

Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language ModelsBoxin Wang, Wei Ping, Chaowei Xiao, Peng Xu, Mostofa Patwary, Mohammad Shoeybi, Bo Li, Anima Anandkumar, Bryan Catanzaro. nips 2022: [doi]

OSCAR: Data-Driven Operational Space Control for Adaptive and Robust Robot ManipulationJosiah Wong, Viktor Makoviychuk, Anima Anandkumar, Yuke Zhu. icra 2022: 10519-10526 [doi]

Generic lithography modeling with dual-band optics-inspired neural networksHaoyu Yang, Zongyi Li, Kumara Sastry, Saumyadip Mukhopadhyay, Mark Kilgard, Anima Anandkumar, Brucek Khailany, Vivek Singh, Haoxing Ren. dac 2022: 973-978 [doi]

LNS-Madam: Low-Precision Training in Logarithmic Number System Using Multiplicative Weight UpdateJiawei Zhao, Steve Dai, Rangharajan Venkatesan, Brian Zimmer, Mustafa Fayez Ali, Ming-Yu Liu 0001, Brucek Khailany, William J. Dally, Anima Anandkumar. TC, 71(12):3179-3190, 2022. [doi]

ZerO Initialization: Initializing Neural Networks with only Zeros and OnesJiawei Zhao, Florian Schäfer, Anima Anandkumar. tmlr, 2022, 2022. [doi]

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