Anima Anandkumar
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
76
Venues
20
Active years
2013–2025
Best venue rank
A*
Where they publish
Papers
76 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | A Unified Model for Compressed Sensing MRI Across Undersampling Patterns. | Armeet Singh Jatyani, Jiayun Wang, Aditi Chandrashekar, Zihui Wu, Miguel Liu-Schiaffini, Bahareh Tolooshams, Anima Anandkumar |
| 2025 | CVPR | Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing. | Bingliang Zhang, Wenda Chu, Julius Berner, Chenlin Meng, Anima Anandkumar, Yang Song |
| 2025 | ICLR | Sequential Controlled Langevin Diffusions. | Junhua Chen, Lorenz Richter, Julius Berner, Denis Blessing, Gerhard Neumann, Anima Anandkumar |
| 2025 | ICLR | LeanAgent: Lifelong Learning for Formal Theorem Proving. | Adarsh Kumarappan, Mo Tiwari, Peiyang Song, Robert Joseph George, Chaowei Xiao, Anima Anandkumar |
| 2025 | ICLR | Robust Representation Consistency Model via Contrastive Denoising. | Jiachen Lei, Julius Berner, Jiongxiao Wang, Zhongzhu Chen, Chaowei Xiao, Zhongjie Ba, Kui Ren, Jun Zhu, Anima Anandkumar |
| 2025 | ICLR | T-Stitch: Accelerating Sampling in Pre-Trained Diffusion Models with Trajectory Stitching. | Zizheng Pan, Bohan Zhuang, De-An Huang, Weili Nie, Zhiding Yu, Chaowei Xiao, Jianfei Cai, Anima Anandkumar |
| 2025 | ICLR | Diffusion State-Guided Projected Gradient for Inverse Problems. | Rayhan Zirvi, Bahareh Tolooshams, Anima Anandkumar |
| 2025 | UAI | Off-policy Predictive Control with Causal Sensitivity Analysis. | Myrl G. Marmarelis, Ali Hasan, Kamyar Azizzadenesheli, R. Michael Alvarez, Anima Anandkumar |
| 2024 | CVPR | What is Point Supervision Worth in Video Instance Segmentation? | Shuaiyi Huang, De-An Huang, Zhiding Yu, Shiyi Lan, Subhashree Radhakrishnan, Jos M. lvarez, Abhinav Shrivastava, Anima Anandkumar |
| 2024 | CVPR | Perada: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees. | Chulin Xie, De-An Huang, Wenda Chu, Daguang Xu, Chaowei Xiao, Bo Li, Anima Anandkumar |
| 2024 | CVPR | Improving Distant 3D Object Detection Using 2D Box Supervision. | Zetong Yang, Zhiding Yu, Christopher B. Choy, Renhao Wang, Anima Anandkumar, Jos M. lvarez |
| 2024 | ICLR | Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo. | Haque Ishfaq, Qingfeng Lan, Pan Xu, A. Rupam Mahmood, Doina Precup, Anima Anandkumar, Kamyar Azizzadenesheli |
| 2024 | ICLR | Eureka: Human-Level Reward Design via Coding Large Language Models. | Yecheng Jason Ma, William Liang, Guanzhi Wang, De-An Huang, Osbert Bastani, Dinesh Jayaraman, Yuke Zhu, Linxi Fan, Anima Anandkumar |
| 2024 | ICLR | Guaranteed Approximation Bounds for Mixed-Precision Neural Operators. | Renbo Tu, Colin White, Jean Kossaifi, Boris Bonev, Gennady Pekhimenko, Kamyar Azizzadenesheli, Anima Anandkumar |
| 2024 | ICLR | Efficient Video Diffusion Models via Content-Frame Motion-Latent Decomposition. | Sihyun Yu, Weili Nie, De-An Huang, Boyi Li, Jinwoo Shin, Anima Anandkumar |
| 2024 | ICML | DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training. | Zhongkai Hao, Chang Su, Songming Liu, Julius Berner, Chengyang Ying, Hang Su, Anima Anandkumar, Jian Song, Jun Zhu |
| 2024 | ICML | Neural Operators with Localized Integral and Differential Kernels. | Miguel Liu-Schiaffini, Julius Berner, Boris Bonev, Thorsten Kurth, Kamyar Azizzadenesheli, Anima Anandkumar |
| 2024 | ICML | Autoformalizing Euclidean Geometry. | Logan Murphy, Kaiyu Yang, Jialiang Sun, Zhaoyu Li, Anima Anandkumar, Xujie Si |
| 2024 | ICML | Solving Poisson Equations using Neural Walk-on-Spheres. | Hong Chul Nam, Julius Berner, Anima Anandkumar |
| 2024 | ICML | Equivariant Graph Neural Operator for Modeling 3D Dynamics. | Minkai Xu, Jiaqi Han, Aaron Lou, Jean Kossaifi, Arvind Ramanathan, Kamyar Azizzadenesheli, Jure Leskovec, Stefano Ermon, Anima Anandkumar |
| 2024 | ICML | GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection. | Jiawei Zhao, Zhenyu Zhang, Beidi Chen, Zhangyang Wang, Anima Anandkumar, Yuandong Tian |
| 2024 | IROS | ARDuP: Active Region Video Diffusion for Universal Policies. | Shuaiyi Huang, Mara Levy, Zhenyu Jiang, Anima Anandkumar, Yuke Zhu, Linxi Fan, De-An Huang, Abhinav Shrivastava |
| 2024 | SC | MProt-DPO: Breaking the ExaFLOPS Barrier for Multimodal Protein Design Workflows with Direct Preference Optimization. | Gautham Dharuman, Kyle Hippe, Alexander Brace, Sam Foreman, Vin Hatanp, Varuni K. Sastry, Huihuo Zheng, Logan T. Ward, Servesh Muralidharan, Archit Vasan, Bharat Kale, Carla M. Mann, Heng Ma, Yun-Hsuan Cheng, Yuliana Zamora, Shengchao Liu, Chaowei Xiao, Murali Emani, Tom Gibbs, Mahidhar Tatineni, Deepak Canchi, Jerome Mitchell, Koichi Yamada, Maria Garzaran, Michael E. Papka, Ian T. Foster, Rick Stevens, Anima Anandkumar, Venkatram Vishwanath, Arvind Ramanathan |
| 2023 | CoRL | MimicPlay: Long-Horizon Imitation Learning by Watching Human Play. | Chen Wang, Linxi Fan, Jiankai Sun, Ruohan Zhang, Li Fei-Fei, Danfei Xu, Yuke Zhu, Anima Anandkumar |
| 2023 | CVPR | Fast Monocular Scene Reconstruction with Global-Sparse Local-Dense Grids. | Wei Dong, Christopher B. Choy, Charles Loop, Or Litany, Yuke Zhu, Anima Anandkumar |
| 2023 | CVPR | Vision Transformers are Good Mask Auto-Labelers. | Shiyi Lan, Xitong Yang, Zhiding Yu, Zuxuan Wu, Jos M. lvarez, Anima Anandkumar |
| 2023 | CVPR | VoxFormer: Sparse Voxel Transformer for Camera-Based 3D Semantic Scene Completion. | Yiming Li, Zhiding Yu, Christopher B. Choy, Chaowei Xiao, Jos M. lvarez, Sanja Fidler, Chen Feng, Anima Anandkumar |
| 2023 | EACL | Context Generation Improves Open Domain Question Answering. | Dan Su, Mostofa Patwary, Shrimai Prabhumoye, Peng Xu, Ryan Prenger, Mohammad Shoeybi, Pascale Fung, Anima Anandkumar, Bryan Catanzaro |
| 2023 | EMNLP | Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study. | Boxin Wang, Wei Ping, Peng Xu, Lawrence McAfee, Zihan Liu, Mohammad Shoeybi, Yi Dong, Oleksii Kuchaiev, Bo Li, Chaowei Xiao, Anima Anandkumar, Bryan Catanzaro |
| 2023 | EMNLP | Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning. | Zhuolin 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, Yuke Zhu, Bryan Catanzaro, Chaowei Xiao, Anima Anandkumar |
| 2023 | ICCV | FocalFormer3D : Focusing on Hard Instance for 3D Object Detection. | Yilun Chen, Zhiding Yu, Yukang Chen, Shiyi Lan, Anima Anandkumar, Jiaya Jia, Jos M. lvarez |
| 2023 | ICCV | Spacetime Surface Regularization for Neural Dynamic Scene Reconstruction. | Jaesung Choe, Christopher B. Choy, Jaesik Park, In So Kweon, Anima Anandkumar |
| 2023 | ICCV | End-to-end 3D Tracking with Decoupled Queries. | Yanwei Li, Zhiding Yu, Jonah Philion, Anima Anandkumar, Sanja Fidler, Jiaya Jia, Jose Alvarez |
| 2023 | ICCV | FB-BEV: BEV Representation from Forward-Backward View Transformations. | Zhiqi Li, Zhiding Yu, Wenhai Wang, Anima Anandkumar, Tong Lu, Jos M. lvarez |
| 2023 | ICCV | Fully Attentional Networks with Self-emerging Token Labeling. | Bingyin Zhao, Zhiding Yu, Shiyi Lan, Yutao Cheng, Anima Anandkumar, Yingjie Lao, Jos M. lvarez |
| 2023 | ICLR | Retrieval-based Controllable Molecule Generation. | Zichao Wang, Weili Nie, Zhuoran Qiao, Chaowei Xiao, Richard G. Baraniuk, Anima Anandkumar |
| 2023 | ICLR | DensePure: Understanding Diffusion Models for Adversarial Robustness. | Chaowei Xiao, Zhongzhu Chen, Kun Jin, Jiongxiao Wang, Weili Nie, Mingyan Liu, Anima Anandkumar, Bo Li, Dawn Song |
| 2023 | ICML | Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere. | Boris Bonev, Thorsten Kurth, Christian Hundt, Jaideep Pathak, Maximilian Baust, Karthik Kashinath, Anima Anandkumar |
| 2023 | ICML | VIMA: Robot Manipulation with Multimodal Prompts. | Yunfan Jiang, Agrim Gupta, Zichen Zhang, Guanzhi Wang, Yongqiang Dou, Yanjun Chen, Li Fei-Fei, Anima Anandkumar, Yuke Zhu, Linxi Fan |
| 2023 | ICML | I | Guan-Horng Liu, Arash Vahdat, De-An Huang, Evangelos A. Theodorou, Weili Nie, Anima Anandkumar |
| 2023 | ICML | Fast Sampling of Diffusion Models via Operator Learning. | Hongkai Zheng, Weili Nie, Arash Vahdat, Kamyar Azizzadenesheli, Anima Anandkumar |
| 2022 | CoRL | Robust Trajectory Prediction against Adversarial Attacks. | Yulong Cao, Danfei Xu, Xinshuo Weng, Zhuoqing Mao, Anima Anandkumar, Chaowei Xiao, Marco Pavone |
| 2022 | CVPR | Not All Labels Are Equal: Rationalizing The Labeling Costs for Training Object Detection. | Ismail Elezi, Zhiding Yu, Anima Anandkumar, Laura Leal-Taix, Jos M. lvarez |
| 2022 | CVPR | Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object Interactions. | Huaizu Jiang, Xiaojian Ma, Weili Nie, Zhiding Yu, Yuke Zhu, Anima Anandkumar |
| 2022 | CVPR | Panoptic SegFormer: Delving Deeper into Panoptic Segmentation with Transformers. | Zhiqi Li, Wenhai Wang, Enze Xie, Zhiding Yu, Anima Anandkumar, Jos M. lvarez, Ping Luo, Tong Lu |
| 2022 | CVPR | FreeSOLO: Learning to Segment Objects without Annotations. | Xinlong Wang, Zhiding Yu, Shalini De Mello, Jan Kautz, Anima Anandkumar, Chunhua Shen, Jos M. lvarez |
| 2022 | DAC | Generic lithography modeling with dual-band optics-inspired neural networks. | Haoyu Yang, Zongyi Li, Kumara Sastry, Saumyadip Mukhopadhyay, Mark Kilgard, Anima Anandkumar, Brucek Khailany, Vivek Singh, Haoxing Ren |
| 2022 | ECCV | AdvDO: Realistic Adversarial Attacks for Trajectory Prediction. | Yulong Cao, Chaowei Xiao, Anima Anandkumar, Danfei Xu, Marco Pavone |
| 2022 | ECCV | Augmenting Deep Classifiers with Polynomial Neural Networks. | Grigorios G. Chrysos, Markos Georgopoulos, Jiankang Deng, Jean Kossaifi, Yannis Panagakis, Anima Anandkumar |
| 2022 | ICLR | Efficient Token Mixing for Transformers via Adaptive Fourier Neural Operators. | John Guibas, Morteza Mardani, Zongyi Li, Andrew Tao, Anima Anandkumar, Bryan Catanzaro |
| 2022 | ICLR | RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning. | Xiaojian Ma, Weili Nie, Zhiding Yu, Huaizu Jiang, Chaowei Xiao, Yuke Zhu, Song-Chun Zhu, Anima Anandkumar |
| 2022 | ICRA | OSCAR: Data-Driven Operational Space Control for Adaptive and Robust Robot Manipulation. | Josiah Wong, Viktor Makoviychuk, Anima Anandkumar, Yuke Zhu |
| 2021 | CoRL | Adversarial Skill Chaining for Long-Horizon Robot Manipulation via Terminal State Regularization. | Youngwoon Lee, Joseph J. Lim, Anima Anandkumar, Yuke Zhu |
| 2021 | ICCV | DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision. | Shiyi Lan, Zhiding Yu, Christopher B. Choy, Subhashree Radhakrishnan, Guilin Liu, Yuke Zhu, Larry S. Davis, Anima Anandkumar |
| 2021 | ICLR | Contrastive Syn-to-Real Generalization. | Wuyang Chen, Zhiding Yu, Shalini De Mello, Sifei Liu, Jos M. lvarez, Zhangyang Wang, Anima Anandkumar |
| 2021 | ICLR | Fourier Neural Operator for Parametric Partial Differential Equations. | Zongyi Li, Nikola Borislavov Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar |
| 2021 | ICML | Coach-Player Multi-agent Reinforcement Learning for Dynamic Team Composition. | Bo Liu, Qiang Liu, Peter Stone, Animesh Garg, Yuke Zhu, Anima Anandkumar |
| 2021 | IJCNN | Unsupervised Controllable Generation with Self-Training. | Grigorios G. Chrysos, Jean Kossaifi, Zhiding Yu, Anima Anandkumar |
| 2021 | KDD | Dynamic Social Media Monitoring for Fast-Evolving Online Discussions. | Maya Srikanth, Anqi Liu, Nicholas Adams-Cohen, Jian Cao, R. Michael Alvarez, Anima Anandkumar |
| 2021 | UAI | Competitive policy optimization. | Manish Prajapat, Kamyar Azizzadenesheli, Alexander Liniger, Yisong Yue, Anima Anandkumar |
| 2020 | CoRL | Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion. | Xingye Da, Zhaoming Xie, David Hoeller, Byron Boots, Anima Anandkumar, Yuke Zhu, Buck Babich, Animesh Garg |
| 2020 | EMNLP | MEGATRON-CNTRL: Controllable Story Generation with External Knowledge Using Large-Scale Language Models. | Peng Xu, Mostofa Patwary, Mohammad Shoeybi, Raul Puri, Pascale Fung, Anima Anandkumar, Bryan Catanzaro |
| 2020 | SC | MeshfreeFlowNet: a physics-constrained deep continuous space-time super-resolution framework. | Chiyu Max Jiang, Soheil Esmaeilzadeh, Kamyar Azizzadenesheli, Karthik Kashinath, Mustafa Mustafa, Hamdi A. Tchelepi, Philip Marcus, Prabhat, Anima Anandkumar |
| 2019 | ICLR | signSGD with Majority Vote is Communication Efficient and Fault Tolerant. | Jeremy Bernstein, Jiawei Zhao, Kamyar Azizzadenesheli, Anima Anandkumar |
| 2019 | ICLR | Active Learning with Partial Feedback. | Peiyun Hu, Zachary C. Lipton, Anima Anandkumar, Deva Ramanan |
| 2019 | UAI | Guaranteed Scalable Learning of Latent Tree Models. | Furong Huang, U. N. Niranjan, Ioakeim Perros, Robert Chen, Jimeng Sun, Anima Anandkumar |
| 2018 | ACL | Probabilistic FastText for Multi-Sense Word Embeddings. | Ben Athiwaratkun, Andrew Gordon Wilson, Anima Anandkumar |
| 2018 | ICLR | Compression by the signs: distributed learning is a two-way street. | Jeremy Bernstein, Yu-Xiang Wang, Kamyar Azizzadenesheli, Anima Anandkumar |
| 2018 | ICML | Born-Again Neural Networks. | Tommaso Furlanello, Zachary Chase Lipton, Michael Tschannen, Laurent Itti, Anima Anandkumar |
| 2017 | AISTATS | Spectral Methods for Correlated Topic Models. | Forough Arabshahi, Anima Anandkumar |
| 2017 | COLT | Homotopy Analysis for Tensor PCA. | Anima Anandkumar, Yuan Deng, Rong Ge, Hossein Mobahi |
| 2017 | CVPR | Tensor Contraction Layers for Parsimonious Deep Nets. | Jean Kossaifi, Aran Khanna, Zachary C. Lipton, Tommaso Furlanello, Anima Anandkumar |
| 2016 | AISTATS | Tensor vs. Matrix Methods: Robust Tensor Decomposition under Block Sparse Perturbations. | Anima Anandkumar, Prateek Jain, Yang Shi, U. N. Niranjan |
| 2016 | AISTATS | Provable Tensor Methods for Learning Mixtures of Generalized Linear Models. | Hanie Sedghi, Majid Janzamin, Anima Anandkumar |
| 2015 | ALT | Tensor Decompositions for Learning Latent Variable Models (A Survey for ALT). | Anima Anandkumar, Rong Ge, Daniel J. Hsu, Sham M. Kakade, Matus Telgarsky |
| 2013 | INFOCOM | FCD: Fast-concurrent-distributed load balancing under switching costs and imperfect observations. | Furong Huang, Anima Anandkumar |