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UNiTE: Unitary N-body Tensor Equivariant Network with Applications to Quantum Chemistry


Jun 06, 2021
Zhuoran Qiao, Anders S. Christensen, Matthew Welborn, Frederick R. Manby, Anima Anandkumar, Thomas F. Miller III


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DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision


Jun 05, 2021
Shiyi Lan, Zhiding Yu, Christopher Choy, Subhashree Radhakrishnan, Guilin Liu, Yuke Zhu, Larry S. Davis, Anima Anandkumar

* Tech Report 

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SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers


Jun 05, 2021
Enze Xie, Wenhai Wang, Zhiding Yu, Anima Anandkumar, Jose M. Alvarez, Ping Luo

* Tech Report 

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Stable Online Control of Linear Time-Varying Systems


Apr 30, 2021
Guannan Qu, Yuanyuan Shi, Sahin Lale, Anima Anandkumar, Adam Wierman

* 3rd Annual Learning for Dynamics & Control Conference (L4DC) 

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Stable Online Control of LTV Systems Stable Online Control of Linear Time-Varying Systems


Apr 29, 2021
Guannan Qu, Yuanyuan Shi, Sahin Lale, Anima Anandkumar, Adam Wierman

* 3rd Annual Learning for Dynamics & Control Conference (L4DC) 

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Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection


Apr 12, 2021
Nadine Chang, Zhiding Yu, Yu-Xiong Wang, Anima Anandkumar, Sanja Fidler, Jose M. Alvarez


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Contrastive Syn-to-Real Generalization


Apr 06, 2021
Wuyang Chen, Zhiding Yu, Shalini De Mello, Sifei Liu, Jose M. Alvarez, Zhangyang Wang, Anima Anandkumar

* Accepted in ICLR 2021 

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Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles


Mar 12, 2021
Zahra Ghodsi, Siva Kumar Sastry Hari, Iuri Frosio, Timothy Tsai, Alejandro Troccoli, Stephen W. Keckler, Siddharth Garg, Anima Anandkumar


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Dynamic Social Media Monitoring for Fast-Evolving Online Discussions


Feb 24, 2021
Maya Srikanth, Anqi Liu, Nicholas Adams-Cohen, Jian Cao, R. Michael Alvarez, Anima Anandkumar

* Preprint, Under Review 

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Disentangling Observed Causal Effects from Latent Confounders using Method of Moments


Jan 17, 2021
Anqi Liu, Hao Liu, Tongxin Li, Saeed Karimi-Bidhendi, Yisong Yue, Anima Anandkumar


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Stability and Identification of Random Asynchronous Linear Time-Invariant Systems


Dec 08, 2020
Sahin Lale, Oguzhan Teke, Babak Hassibi, Anima Anandkumar


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Fourier Neural Operator for Parametric Partial Differential Equations


Oct 18, 2020
Zongyi Li, Nikola Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Kaushik Bhattacharya, Andrew Stuart, Anima Anandkumar


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Distributionally Robust Learning for Unsupervised Domain Adaptation


Oct 08, 2020
Haoxuan Wang, Anqi Liu, Zhiding Yu, Yisong Yue, Anima Anandkumar

* Preprint 

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MEGATRON-CNTRL: Controllable Story Generation with External Knowledge Using Large-Scale Language Models


Oct 02, 2020
Peng Xu, Mostofa Patwary, Mohammad Shoeybi, Raul Puri, Pascale Fung, Anima Anandkumar, Bryan Catanzaro

* Accepted in EMNLP 2020 main conference 

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OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation


Aug 17, 2020
Hongyu Ren, Yuke Zhu, Jure Leskovec, Anima Anandkumar, Animesh Garg

* UAI 2020 

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Explore More and Improve Regret in Linear Quadratic Regulators


Jul 23, 2020
Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Anima Anandkumar


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Unsupervised Controllable Generation with Self-Training


Jul 17, 2020
Grigorios G Chrysos, Jean Kossaifi, Zhiding Yu, Anima Anandkumar


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Neural Networks with Recurrent Generative Feedback


Jul 17, 2020
Yujia Huang, James Gornet, Sihui Dai, Zhiding Yu, Tan Nguyen, Doris Y. Tsao, Anima Anandkumar


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Automated Synthetic-to-Real Generalization


Jul 14, 2020
Wuyang Chen, Zhiding Yu, Zhangyang Wang, Anima Anandkumar

* Accepted to ICML 2020 

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Deep Bayesian Quadrature Policy Optimization


Jun 28, 2020
Akella Ravi Tej, Kamyar Azizzadenesheli, Mohammad Ghavamzadeh, Anima Anandkumar, Yisong Yue

* Code available at https://github.com/Akella17/Deep-Bayesian-Quadrature-Policy-Optimization 

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Learning compositional functions via multiplicative weight updates


Jun 25, 2020
Jeremy Bernstein, Jiawei Zhao, Markus Meister, Ming-Yu Liu, Anima Anandkumar, Yisong Yue


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Competitive Policy Optimization


Jun 18, 2020
Manish Prajapat, Kamyar Azizzadenesheli, Alexander Liniger, Yisong Yue, Anima Anandkumar

* 11 pages main paper, 6 pages references, and 31 pages appendix. 14 figures 

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Competitive Mirror Descent


Jun 17, 2020
Florian Schäfer, Anima Anandkumar, Houman Owhadi

* The code used to produce the numerical experiments can be found under https://github.com/f-t-s/CMD 

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Multipole Graph Neural Operator for Parametric Partial Differential Equations


Jun 16, 2020
Zongyi Li, Nikola Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Kaushik Bhattacharya, Andrew Stuart, Anima Anandkumar


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Chance-Constrained Trajectory Optimization for Safe Exploration and Learning of Nonlinear Systems


May 09, 2020
Yashwanth Kumar Nakka, Anqi Liu, Guanya Shi, Anima Anandkumar, Yisong Yue, Soon-Jo Chung

* Submitted to RA-L 2020 

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MeshfreeFlowNet: A Physics-Constrained Deep Continuous Space-Time Super-Resolution Framework


May 01, 2020
Chiyu Max Jiang, Soheil Esmaeilzadeh, Kamyar Azizzadenesheli, Karthik Kashinath, Mustafa Mustafa, Hamdi A. Tchelepi, Philip Marcus, Prabhat, Anima Anandkumar

* Supplementary Video: https://youtu.be/mjqwPch9gDo 

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Spectral Learning on Matrices and Tensors


Apr 16, 2020
Majid Janzamin, Rong Ge, Jean Kossaifi, Anima Anandkumar

* Foundations and Trends in Machine Learning: Vol. 12: No. 5-6, pp 393-536 (2019) 

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