Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
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 

  Access Paper or Ask Questions

Learning by Turning: Neural Architecture Aware Optimisation

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


  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Task Programming: Learning Data Efficient Behavior Representations

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


  Access Paper or Ask Questions

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) 

  Access Paper or Ask Questions

On the Benefits of Early Fusion in Multimodal Representation Learning

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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Architecture Agnostic Neural Networks

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


  Access Paper or Ask Questions

Iterative Amortized Policy Optimization

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


  Access Paper or Ask Questions

Distributionally Robust Learning for Unsupervised Domain Adaptation

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

* Preprint 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Active Learning under Label Shift

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

* 23 pages, 10 figures, RealML @ ICML2020 

  Access Paper or Ask Questions

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) 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Average-case Complexity of Teaching Convex Polytopes via Halfspace Queries

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


  Access Paper or Ask Questions

Learning compositional functions via multiplicative weight updates

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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

A General Large Neighborhood Search Framework for Solving Integer Programs

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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis

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


  Access Paper or Ask Questions

Beyond No-Regret: Competitive Control via Online Optimization with Memory

Feb 13, 2020
Guanya Shi, Yiheng Lin, Soon-Jo Chung, Yisong Yue, Adam Wierman


  Access Paper or Ask Questions

On the distance between two neural networks and the stability of learning

Feb 09, 2020
Jeremy Bernstein, Arash Vahdat, Yisong Yue, Ming-Yu Liu


  Access Paper or Ask Questions

Learning for Safety-Critical Control with Control Barrier Functions

Dec 20, 2019
Andrew Taylor, Andrew Singletary, Yisong Yue, Aaron Ames

* Extended version (12 Pages), Short version submitted to Learning for Dynamics & Control (L4DC) 2020 Conference 

  Access Paper or Ask Questions