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OSCAR: Data-Driven Operational Space Control for Adaptive and Robust Robot Manipulation


Oct 02, 2021
Josiah Wong, Viktor Makoviychuk, Anima Anandkumar, Yuke Zhu


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Auditing AI models for Verified Deployment under Semantic Specifications


Sep 25, 2021
Homanga Bharadhwaj, De-An Huang, Chaowei Xiao, Anima Anandkumar, Animesh Garg

* Preprint; Under review; 

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U-FNO -- an enhanced Fourier neural operator based-deep learning model for multiphase flow


Sep 17, 2021
Gege Wen, Zongyi Li, Kamyar Azizzadenesheli, Anima Anandkumar, Sally M. Benson


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Panoptic SegFormer


Sep 11, 2021
Zhiqi Li, Wenhai Wang, Enze Xie, Zhiding Yu, Anima Anandkumar, Jose M. Alvarez, Tong Lu, Ping Luo

* Technical Report 

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Neural Operator: Learning Maps Between Function Spaces


Sep 06, 2021
Nikola Kovachki, Zongyi Li, Burigede Liu, Kamyar Azizzadenesheli, Kaushik Bhattacharya, Andrew Stuart, Anima Anandkumar


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Finite-time System Identification and Adaptive Control in Autoregressive Exogenous Systems


Aug 26, 2021
Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Anima Anandkumar

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

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Long-Short Transformer: Efficient Transformers for Language and Vision


Jul 27, 2021
Chen Zhu, Wei Ping, Chaowei Xiao, Mohammad Shoeybi, Tom Goldstein, Anima Anandkumar, Bryan Catanzaro


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Tensor Methods in Computer Vision and Deep Learning


Jul 07, 2021
Yannis Panagakis, Jean Kossaifi, Grigorios G. Chrysos, James Oldfield, Mihalis A. Nicolaou, Anima Anandkumar, Stefanos Zafeiriou

* Proceedings of the IEEE (2021) 

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Low-Precision Training in Logarithmic Number System using Multiplicative Weight Update


Jun 26, 2021
Jiawei Zhao, Steve Dai, Rangharajan Venkatesan, Ming-Yu Liu, Brucek Khailany, Bill Dally, Anima Anandkumar


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Towards Reducing Labeling Cost in Deep Object Detection


Jun 22, 2021
Ismail Elezi, Zhiding Yu, Anima Anandkumar, Laura Leal-Taixe, Jose M. Alvarez

* Includes supplementary material 

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SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies


Jun 17, 2021
Linxi Fan, Guanzhi Wang, De-An Huang, Zhiding Yu, Li Fei-Fei, Yuke Zhu, Anima Anandkumar

* ICML 2021. Website: https://linxifan.github.io/secant-site/ 

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Markov Neural Operators for Learning Chaotic Systems


Jun 13, 2021
Zongyi Li, Nikola Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Kaushik Bhattacharya, Andrew Stuart, Anima Anandkumar


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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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