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The Multi-Agent Behavior Dataset: Mouse Dyadic Social Interactions


Apr 07, 2021
Jennifer J. Sun, Tomomi Karigo, Dipam Chakraborty, Sharada P. Mohanty, David J. Anderson, Pietro Perona, Yisong Yue, Ann Kennedy

* Dataset and challenge: https://www.aicrowd.com/challenges/multi-agent-behavior-representation-modeling-measurement-and-applications Part of MABe workshop @ CVPR21: https://sites.google.com/view/mabe21/home 

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Learning Unstable Dynamics with One Minute of Data: A Differentiation-based Gaussian Process Approach


Mar 08, 2021
Ivan D. Jimenez Rodriguez, Ugo Rosolia, Aaron D. Ames, Yisong Yue


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Minimax Model Learning


Mar 02, 2021
Cameron Voloshin, Nan Jiang, Yisong Yue

* PMLR, Volume 130, 2021 

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Computing the Information Content of Trained Neural Networks


Mar 01, 2021
Jeremy Bernstein, Yisong Yue


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Learning Invariant Representation of Tasks for Robust Surgical State Estimation


Feb 18, 2021
Yidan Qin, Max Allan, Yisong Yue, Joel W. Burdick, Mahdi Azizian

* Accepted to IEEE Robotics & Automation Letters 

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Learning by Turning: Neural Architecture Aware Optimisation


Feb 14, 2021
Yang Liu, Jeremy Bernstein, Markus Meister, Yisong Yue


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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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Neural-Swarm2: Planning and Control of Heterogeneous Multirotor Swarms using Learned Interactions


Dec 10, 2020
Guanya Shi, Wolfgang Hönig, Xichen Shi, Yisong Yue, Soon-Jo Chung

* Video is available at https://youtu.be/Y02juH6BDxo 

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Task Programming: Learning Data Efficient Behavior Representations


Nov 27, 2020
Jennifer J. Sun, Ann Kennedy, Eric Zhan, Yisong Yue, Pietro Perona


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Towards Robust Data-Driven Control Synthesis for Nonlinear Systems with Actuation Uncertainty


Nov 21, 2020
Andrew J. Taylor, Victor D. Dorobantu, Sarah Dean, Benjamin Recht, Yisong Yue, Aaron D. Ames

* 23 pages, 8 figures, submitted to Learning for Dynamics & Control 2021 (L4DC) 

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On the Benefits of Early Fusion in Multimodal Representation Learning


Nov 14, 2020
George Barnum, Sabera Talukder, Yisong Yue


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Machine Learning Based Path Planning for Improved Rover Navigation (Pre-Print Version)


Nov 11, 2020
Neil Abcouwer, Shreyansh Daftry, Siddarth Venkatraman, Tyler del Sesto, Olivier Toupet, Ravi Lanka, Jialin Song, Yisong Yue, Masahiro Ono

* 9 pages, 5 figures, Pre-Print, This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible 

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ROIAL: Region of Interest Active Learning for Characterizing Exoskeleton Gait Preference Landscapes


Nov 09, 2020
Kejun Li, Maegan Tucker, Erdem Bıyık, Ellen Novoseller, Joel W. Burdick, Yanan Sui, Dorsa Sadigh, Yisong Yue, Aaron D. Ames

* 6 pages; 7 figures 

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Architecture Agnostic Neural Networks


Nov 05, 2020
Sabera Talukder, Guruprasad Raghavan, Yisong Yue


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Iterative Amortized Policy Optimization


Oct 20, 2020
Joseph Marino, Alexandre Piché, Alessandro Davide Ialongo, Yisong Yue


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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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Learning Differentiable Programs with Admissible Neural Heuristics


Jul 26, 2020
Ameesh Shah, Eric Zhan, Jennifer J. Sun, Abhinav Verma, Yisong Yue, Swarat Chaudhuri

* 9 pages, under review 

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Active Learning under Label Shift


Jul 16, 2020
Eric Zhao, Anqi Liu, Animashree Anandkumar, Yisong Yue

* 23 pages, 10 figures, RealML @ ICML2020 

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Graph Neural Networks for the Prediction of Substrate-Specific Organic Reaction Conditions


Jul 09, 2020
Serim Ryou, Michael R. Maser, Alexander Y. Cui, Travis J. DeLano, Yisong Yue, Sarah E. Reisman

* 23 pages, 10 tables, 13 figures, to appear in the ICML 2020 Workshop on Graph Representation Learning and Beyond (GRLB) 

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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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Average-case Complexity of Teaching Convex Polytopes via Halfspace Queries


Jun 25, 2020
Akash Kumar, Adish Singla, Yisong Yue, Yuxin Chen


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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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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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A General Large Neighborhood Search Framework for Solving Integer Programs


Mar 29, 2020
Jialin Song, Ravi Lanka, Yisong Yue, Bistra Dilkina


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Human Preference-Based Learning for High-dimensional Optimization of Exoskeleton Walking Gaits


Mar 13, 2020
Maegan Tucker, Myra Cheng, Ellen Novoseller, Richard Cheng, Yisong Yue, Joel W. Burdick, Aaron D. Ames

* 8 pages, 9 figures, 2 tables, in review 

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Neural-Swarm: Decentralized Close-Proximity Multirotor Control Using Learned Interactions


Mar 06, 2020
Guanya Shi, Wolfgang Hönig, Yisong Yue, Soon-Jo Chung

* International Conference on Robotics and Automation (ICRA), 2020, https://youtu.be/v4j-9pH11Q8 

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GLAS: Global-to-Local Safe Autonomy Synthesis for Multi-Robot Motion Planning with End-to-End Learning


Feb 26, 2020
Benjamin Rivière, Wolfgang Hoenig, Yisong Yue, Soon-Jo Chung

* Submitted to IROS with RA-L option, 2020 

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Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis


Feb 15, 2020
Jung Yeon Park, Kenneth Theo Carr, Stephan Zheng, Yisong Yue, Rose Yu


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