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2020 – today
- 2022
[j16]Andrew J. Taylor
, Victor D. Dorobantu, Yisong Yue, Paulo Tabuada, Aaron D. Ames:
Sampled-Data Stabilization With Control Lyapunov Functions via Quadratically Constrained Quadratic Programs. IEEE Control. Syst. Lett. 6: 680-685 (2022)- [j15]Kejun Li, Maegan Tucker, Rachel Gehlhar, Yisong Yue, Aaron D. Ames:
Natural Multicontact Walking for Robotic Assistive Devices via Musculoskeletal Models and Hybrid Zero Dynamics. IEEE Robotics Autom. Lett. 7(2): 4283-4290 (2022) - [j14]Michael O'Connell, Guanya Shi, Xichen Shi, Kamyar Azizzadenesheli, Anima Anandkumar, Yisong Yue, Soon-Jo Chung:
Neural-Fly enables rapid learning for agile flight in strong winds. Sci. Robotics 7(66) (2022) - [j13]Guanya Shi, Wolfgang Hönig, Xichen Shi, Yisong Yue, Soon-Jo Chung:
Neural-Swarm2: Planning and Control of Heterogeneous Multirotor Swarms Using Learned Interactions. IEEE Trans. Robotics 38(2): 1063-1079 (2022) - [c92]Aaron M. Ferber, Jialin Song, Bistra Dilkina, Yisong Yue:
Learning Pseudo-Backdoors for Mixed Integer Programs. CPAIOR 2022: 91-102 - [c91]Ryan K. Cosner, Maegan Tucker, Andrew J. Taylor, Kejun Li, Tamás G. Molnár, Wyatt Ubellacker, Anil Alan, Gábor Orosz, Yisong Yue, Aaron D. Ames:
Safety-Aware Preference-Based Learning for Safety-Critical Control. L4DC 2022: 1020-1033 - [c90]Ivan Dario Jimenez Rodriguez, Noel Csomay-Shanklin, Yisong Yue, Aaron D. Ames:
Neural Gaits: Learning Bipedal Locomotion via Control Barrier Functions and Zero Dynamics Policies. L4DC 2022: 1060-1072 - [i100]Ivan Dario Jimenez Rodriguez, Aaron D. Ames, Yisong Yue:
LyaNet: A Lyapunov Framework for Training Neural ODEs. CoRR abs/2202.02526 (2022) - [i99]Ryan K. Cosner, Ivan D. Jimenez Rodriguez, Tamás G. Molnár, Wyatt Ubellacker, Yisong Yue, Aaron D. Ames, Katherine L. Bouman:
Self-Supervised Online Learning for Safety-Critical Control using Stereo Vision. CoRR abs/2203.01404 (2022) - [i98]Shreyansh Daftry, Neil Abcouwer, Tyler del Sesto, Siddarth Venkatraman, Jialin Song, Lucas Igel, Amos Byon, Ugo Rosolia, Yisong Yue, Masahiro Ono:
MLNav: Learning to Safely Navigate on Martian Terrains. CoRR abs/2203.04563 (2022) - [i97]Andrew J. Taylor, Victor D. Dorobantu, Ryan K. Cosner, Yisong Yue, Aaron D. Ames:
Safety of Sampled-Data Systems with Control Barrier Functions via Approximate Discrete Time Models. CoRR abs/2203.11470 (2022) - [i96]Ivan Dario Jimenez Rodriguez, Noel Csomay-Shanklin, Yisong Yue, Aaron D. Ames:
Neural Gaits: Learning Bipedal Locomotion via Control Barrier Functions and Zero Dynamics Policies. CoRR abs/2204.08120 (2022) - [i95]Alexander Farhang, Jeremy Bernstein, Kushal Tirumala, Yang Liu, Yisong Yue:
Investigating Generalization by Controlling Normalized Margin. CoRR abs/2205.03940 (2022) - [i94]Michael O'Connell, Guanya Shi, Xichen Shi, Kamyar Azizzadenesheli, Anima Anandkumar, Yisong Yue, Soon-Jo Chung:
Neural-Fly Enables Rapid Learning for Agile Flight in Strong Winds. CoRR abs/2205.06908 (2022) - [i93]Sabera Talukder, Jennifer J. Sun, Matthew Leonard, Bingni W. Brunton, Yisong Yue:
Deep Neural Imputation: A Framework for Recovering Incomplete Brain Recordings. CoRR abs/2206.08094 (2022) - [i92]Cameron Voloshin, Hoang Minh Le, Swarat Chaudhuri, Yisong Yue:
Policy Optimization with Linear Temporal Logic Constraints. CoRR abs/2206.09546 (2022) - 2021
- [j12]Andrew J. Taylor, Andrew Singletary, Yisong Yue, Aaron D. Ames:
A Control Barrier Perspective on Episodic Learning via Projection-to-State Safety. IEEE Control. Syst. Lett. 5(3): 1019-1024 (2021) - [j11]Swarat Chaudhuri, Kevin Ellis, Oleksandr Polozov, Rishabh Singh, Armando Solar-Lezama, Yisong Yue:
Neurosymbolic Programming. Found. Trends Program. Lang. 7(3): 158-243 (2021) - [j10]Michael R. Maser, Alexander Y. Cui, Serim Ryou, Travis J. DeLano, Yisong Yue, Sarah E. Reisman:
Multilabel Classification Models for the Prediction of Cross-Coupling Reaction Conditions. J. Chem. Inf. Model. 61(1): 156-166 (2021) - [j9]Yashwanth Kumar Nakka, Anqi Liu, Guanya Shi, Anima Anandkumar, Yisong Yue, Soon-Jo Chung:
Chance-Constrained Trajectory Optimization for Safe Exploration and Learning of Nonlinear Systems. IEEE Robotics Autom. Lett. 6(1): 389-396 (2021) - [j8]Yidan Qin, Max Allan, Yisong Yue, Joel W. Burdick, Mahdi Azizian:
Learning Invariant Representation of Tasks for Robust Surgical State Estimation. IEEE Robotics Autom. Lett. 6(2): 3208-3215 (2021) - [c89]Ravi Tej Akella, Kamyar Azizzadenesheli, Mohammad Ghavamzadeh, Animashree Anandkumar, Yisong Yue:
Deep Bayesian Quadrature Policy Optimization. AAAI 2021: 6600-6608 - [c88]Cameron Voloshin, Nan Jiang, Yisong Yue:
Minimax Model Learning. AISTATS 2021: 1612-1620 - [c87]Eric Zhao, Anqi Liu, Animashree Anandkumar, Yisong Yue:
Active Learning under Label Shift. AISTATS 2021: 3412-3420 - [c86]Dimitar Ho, Hoang Minh Le, John Doyle, Yisong Yue:
Online Robust Control of Nonlinear Systems with Large Uncertainty. AISTATS 2021: 3475-3483 - [c85]Andrew J. Taylor, Victor D. Dorobantu, Sarah Dean, Benjamin Recht, Yisong Yue, Aaron D. Ames:
Towards Robust Data-Driven Control Synthesis for Nonlinear Systems with Actuation Uncertainty. CDC 2021: 6469-6476 - [c84]Jennifer J. Sun, Ann Kennedy, Eric Zhan, David J. Anderson, Yisong Yue, Pietro Perona:
Task Programming: Learning Data Efficient Behavior Representations. CVPR 2021: 2876-2885 - [c83]Ayya Alieva, Aiden Aceves, Jialin Song, Stephen Mayo, Yisong Yue, Yuxin Chen:
Learning to Make Decisions via Submodular Regularization. ICLR 2021 - [c82]Yang Liu, Jeremy Bernstein, Markus Meister, Yisong Yue:
Learning by Turning: Neural Architecture Aware Optimisation. ICML 2021: 6748-6758 - [c81]Kejun Li, Maegan Tucker, Erdem Biyik, Ellen R. Novoseller, Joel W. Burdick, Yanan Sui, Dorsa Sadigh, Yisong Yue, Aaron D. Ames:
ROIAL: Region of Interest Active Learning for Characterizing Exoskeleton Gait Preference Landscapes. ICRA 2021: 3212-3218 - [c80]Ivan D. Jimenez Rodriguez, Ugo Rosolia, Aaron D. Ames, Yisong Yue:
Learning to Control an Unstable System with One Minute of Data: Leveraging Gaussian Process Differentiation in Predictive Control. IROS 2021: 3896-3903 - [c79]Dawna Bagherian, James Gornet, Jeremy Bernstein, Yu-Li Ni, Yisong Yue, Markus Meister:
Fine-Grained System Identification of Nonlinear Neural Circuits. KDD 2021: 14-24 - [c78]Tianwei Yin, Zihui Wu, He Sun, Adrian V. Dalca, Yisong Yue, Katherine L. Bouman:
End-to-End Sequential Sampling and Reconstruction for MRI. ML4H@NeurIPS 2021: 261-281 - [c77]Guanya Shi, Kamyar Azizzadenesheli, Michael O'Connell, Soon-Jo Chung, Yisong Yue:
Meta-Adaptive Nonlinear Control: Theory and Algorithms. NeurIPS 2021: 10013-10025 - [c76]Angela F. Gao, Jorge C. Castellanos, Yisong Yue, Zachary E. Ross, Katherine L. Bouman:
DeepGEM: Generalized Expectation-Maximization for Blind Inversion. NeurIPS 2021: 11592-11603 - [c75]Joseph Marino, Alexandre Piché, Alessandro Davide Ialongo, Yisong Yue:
Iterative Amortized Policy Optimization. NeurIPS 2021: 15667-15681 - [c74]Jennifer J. Sun, Tomomi Karigo, Dipam Chakraborty, Sharada P. Mohanty, Benjamin Wild, Quan Sun, Chen Chen, David J. Anderson, Pietro Perona, Yisong Yue, Ann Kennedy:
The Multi-Agent Behavior Dataset: Mouse Dyadic Social Interactions. NeurIPS Datasets and Benchmarks 2021 - [c73]Cameron Voloshin, Hoang Minh Le, Nan Jiang, Yisong Yue:
Empirical Study of Off-Policy Policy Evaluation for Reinforcement Learning. NeurIPS Datasets and Benchmarks 2021 - [c72]Aaron M. Ferber, Jialin Song, Bistra Dilkina, Yisong Yue:
Learning Pseudo-Backdoors for Mixed Integer Programs. SOCS 2021: 170-172 - [c71]Manish Prajapat, Kamyar Azizzadenesheli, Alexander Liniger, Yisong Yue, Anima Anandkumar:
Competitive policy optimization. UAI 2021: 64-74 - [i91]Anqi Liu, Hao Liu, Tongxin Li, Saeed Karimi-Bidhendi, Yisong Yue, Anima Anandkumar:
Disentangling Observed Causal Effects from Latent Confounders using Method of Moments. CoRR abs/2101.06614 (2021) - [i90]Yang Liu, Jeremy Bernstein, Markus Meister, Yisong Yue:
Learning by Turning: Neural Architecture Aware Optimisation. CoRR abs/2102.07227 (2021) - [i89]Yidan Qin, Max Allan, Yisong Yue, Joel W. Burdick, Mahdi Azizian:
Learning Invariant Representation of Tasks for Robust Surgical State Estimation. CoRR abs/2102.09119 (2021) - [i88]Jeremy Bernstein, Yisong Yue:
Computing the Information Content of Trained Neural Networks. CoRR abs/2103.01045 (2021) - [i87]Cameron Voloshin, Nan Jiang, Yisong Yue:
Minimax Model Learning. CoRR abs/2103.02084 (2021) - [i86]Andrew J. Taylor, Victor D. Dorobantu, Yisong Yue, Paulo Tabuada, Aaron D. Ames:
Sampled-Data Stabilization with Control Lyapunov Functions via Quadratically Constrained Quadratic Programs. CoRR abs/2103.03937 (2021) - [i85]Ivan D. Jimenez Rodriguez, Ugo Rosolia, Aaron D. Ames, Yisong Yue:
Learning Unstable Dynamics with One Minute of Data: A Differentiation-based Gaussian Process Approach. CoRR abs/2103.04548 (2021) - [i84]Dimitar Ho, Hoang M. Le, John C. Doyle, Yisong Yue:
Online Robust Control of Nonlinear Systems with Large Uncertainty. CoRR abs/2103.11055 (2021) - [i83]Jennifer J. Sun, Tomomi Karigo, Dipam Chakraborty, Sharada P. Mohanty, David J. Anderson, Pietro Perona, Yisong Yue, Ann Kennedy:
The Multi-Agent Behavior Dataset: Mouse Dyadic Social Interactions. CoRR abs/2104.02710 (2021) - [i82]Tianwei Yin, Zihui Wu, He Sun, Adrian V. Dalca, Yisong Yue, Katherine L. Bouman:
End-to-End Sequential Sampling and Reconstruction for MR Imaging. CoRR abs/2105.06460 (2021) - [i81]Aaron M. Ferber, Jialin Song, Bistra Dilkina, Yisong Yue:
Learning Pseudo-Backdoors for Mixed Integer Programs. CoRR abs/2106.05080 (2021) - [i80]Dawna Bagherian, James Gornet, Jeremy Bernstein, Yu-Li Ni, Yisong Yue, Markus Meister:
Fine-Grained System Identification of Nonlinear Neural Circuits. CoRR abs/2106.05400 (2021) - [i79]Guanya Shi, Kamyar Azizzadenesheli, Soon-Jo Chung, Yisong Yue:
Meta-Adaptive Nonlinear Control: Theory and Algorithms. CoRR abs/2106.06098 (2021) - [i78]Megan Tjandrasuwita, Jennifer J. Sun, Ann Kennedy, Swarat Chaudhuri, Yisong Yue:
Interpreting Expert Annotation Differences in Animal Behavior. CoRR abs/2106.06114 (2021) - [i77]Eric Zhan, Jennifer J. Sun, Ann Kennedy, Yisong Yue, Swarat Chaudhuri:
Unsupervised Learning of Neurosymbolic Encoders. CoRR abs/2107.13132 (2021) - [i76]Kejun Li, Maegan Tucker, Rachel Gehlhar, Yisong Yue, Aaron D. Ames:
Natural Multicontact Walking for Robotic Assistive Devices via Musculoskeletal Models and Hybrid Zero Dynamics. CoRR abs/2109.05113 (2021) - [i75]Jeremy Bernstein, Yisong Yue:
On the Implicit Biases of Architecture & Gradient Descent. CoRR abs/2110.04274 (2021) - [i74]Albert Tseng, Jennifer J. Sun, Yisong Yue:
Automatic Synthesis of Diverse Weak Supervision Sources for Behavior Analysis. CoRR abs/2111.15186 (2021) - [i73]Jennifer J. Sun, Serim Ryou, Roni Goldshmid, Brandon Weissbourd, John Dabiri, David J. Anderson, Ann Kennedy, Yisong Yue, Pietro Perona:
Self-Supervised Keypoint Discovery in Behavioral Videos. CoRR abs/2112.05121 (2021) - [i72]Ryan K. Cosner, Maegan Tucker, Andrew J. Taylor, Kejun Li, Tamás G. Molnár, Wyatt Ubellacker, Anil Alan, Gábor Orosz, Yisong Yue, Aaron D. Ames:
Safety-Aware Preference-Based Learning for Safety-Critical Control. CoRR abs/2112.08516 (2021) - 2020
- [j7]Benjamin Rivière, Wolfgang Hönig, Yisong Yue, Soon-Jo Chung:
GLAS: Global-to-Local Safe Autonomy Synthesis for Multi-Robot Motion Planning With End-to-End Learning. IEEE Robotics Autom. Lett. 5(3): 4249-4256 (2020) - [c70]Jung Yeon Park, Kenneth Theo Carr, Stephan Zheng, Yisong Yue, Rose Yu:
Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis. ICML 2020: 7499-7509 - [c69]Eric Zhan, Albert Tseng, Yisong Yue, Adith Swaminathan, Matthew J. Hausknecht:
Learning Calibratable Policies using Programmatic Style-Consistency. ICML 2020: 11001-11011 - [c68]Maegan Tucker, Ellen R. Novoseller, Claudia Kann, Yanan Sui, Yisong Yue, Joel W. Burdick, Aaron D. Ames:
Preference-Based Learning for Exoskeleton Gait Optimization. ICRA 2020: 2351-2357 - [c67]Guanya Shi, Wolfgang Hönig, Yisong Yue, Soon-Jo Chung:
Neural-Swarm: Decentralized Close-Proximity Multirotor Control Using Learned Interactions. ICRA 2020: 3241-3247 - [c66]Maegan Tucker, Myra Cheng, Ellen R. Novoseller, Richard Cheng, Yisong Yue, Joel W. Burdick, Aaron D. Ames:
Human Preference-Based Learning for High-dimensional Optimization of Exoskeleton Walking Gaits. IROS 2020: 3423-3430 - [c65]Anqi Liu, Guanya Shi, Soon-Jo Chung, Anima Anandkumar, Yisong Yue:
Robust Regression for Safe Exploration in Control. L4DC 2020: 608-619 - [c64]Andrew J. Taylor, Andrew Singletary, Yisong Yue, Aaron D. Ames:
Learning for Safety-Critical Control with Control Barrier Functions. L4DC 2020: 708-717 - [c63]Jeremy Bernstein, Arash Vahdat, Yisong Yue, Ming-Yu Liu:
On the distance between two neural networks and the stability of learning. NeurIPS 2020 - [c62]Jeremy Bernstein, Jiawei Zhao, Markus Meister, Ming-Yu Liu, Anima Anandkumar, Yisong Yue:
Learning compositional functions via multiplicative weight updates. NeurIPS 2020 - [c61]Ameesh Shah, Eric Zhan, Jennifer J. Sun, Abhinav Verma, Yisong Yue, Swarat Chaudhuri:
Learning Differentiable Programs with Admissible Neural Heuristics. NeurIPS 2020 - [c60]Guanya Shi, Yiheng Lin, Soon-Jo Chung, Yisong Yue, Adam Wierman:
Online Optimization with Memory and Competitive Control. NeurIPS 2020 - [c59]Jialin Song, Ravi Lanka, Yisong Yue, Bistra Dilkina:
A General Large Neighborhood Search Framework for Solving Integer Linear Programs. NeurIPS 2020 - [c58]Chenkai Yu, Guanya Shi, Soon-Jo Chung, Yisong Yue, Adam Wierman:
The Power of Predictions in Online Control. NeurIPS 2020 - [c57]Ellen R. Novoseller, Yibing Wei, Yanan Sui, Yisong Yue, Joel Burdick:
Dueling Posterior Sampling for Preference-Based Reinforcement Learning. UAI 2020: 1029-1038 - [i71]Jeremy Bernstein, Arash Vahdat, Yisong Yue, Ming-Yu Liu:
On the distance between two neural networks and the stability of learning. CoRR abs/2002.03432 (2020) - [i70]Guanya Shi, Yiheng Lin, Soon-Jo Chung, Yisong Yue, Adam Wierman:
Beyond No-Regret: Competitive Control via Online Optimization with Memory. CoRR abs/2002.05318 (2020) - [i69]Jung Yeon Park, Kenneth Theo Carr, Stephan Zheng, Yisong Yue, Rose Yu:
Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis. CoRR abs/2002.05578 (2020) - [i68]Benjamin Rivière, Wolfgang Hönig, Yisong Yue, Soon-Jo Chung:
GLAS: Global-to-Local Safe Autonomy Synthesis for Multi-Robot Motion Planning with End-to-End Learning. CoRR abs/2002.11807 (2020) - [i67]Guanya Shi, Wolfgang Hönig, Yisong Yue, Soon-Jo Chung:
Neural-Swarm: Decentralized Close-Proximity Multirotor Control Using Learned Interactions. CoRR abs/2003.02992 (2020) - [i66]Maegan Tucker, Myra Cheng, Ellen R. Novoseller, Richard Cheng, Yisong Yue, Joel W. Burdick, Aaron D. Ames:
Human Preference-Based Learning for High-dimensional Optimization of Exoskeleton Walking Gaits. CoRR abs/2003.06495 (2020) - [i65]Andrew J. Taylor, Andrew Singletary, Yisong Yue, Aaron D. Ames:
A Control Barrier Perspective on Episodic Learning via Projection-to-State Safety. CoRR abs/2003.08028 (2020) - [i64]Jialin Song, Ravi Lanka, Yisong Yue, Bistra Dilkina:
A General Large Neighborhood Search Framework for Solving Integer Programs. CoRR abs/2004.00422 (2020) - [i63]Yashwanth Kumar Nakka, Anqi Liu, Guanya Shi, Anima Anandkumar, Yisong Yue, Soon-Jo Chung:
Chance-Constrained Trajectory Optimization for Safe Exploration and Learning of Nonlinear Systems. CoRR abs/2005.04374 (2020) - [i62]Chenkai Yu, Guanya Shi, Soon-Jo Chung, Yisong Yue, Adam Wierman:
The Power of Predictions in Online Control. CoRR abs/2006.07569 (2020) - [i61]Manish Prajapat, Kamyar Azizzadenesheli, Alexander Liniger, Yisong Yue, Anima Anandkumar:
Competitive Policy Optimization. CoRR abs/2006.10611 (2020) - [i60]Jeremy Bernstein, Jiawei Zhao, Markus Meister, Ming-Yu Liu, Anima Anandkumar, Yisong Yue:
Learning compositional functions via multiplicative weight updates. CoRR abs/2006.14560 (2020) - [i59]Akash Kumar, Adish Singla, Yisong Yue, Yuxin Chen:
Average-case Complexity of Teaching Convex Polytopes via Halfspace Queries. CoRR abs/2006.14677 (2020) - [i58]Ravi Tej Akella, Kamyar Azizzadenesheli, Mohammad Ghavamzadeh, Anima Anandkumar, Yisong Yue:
Deep Bayesian Quadrature Policy Optimization. CoRR abs/2006.15637 (2020) - [i57]Serim Ryou, Michael R. Maser, Alexander Y. Cui, Travis J. DeLano, Yisong Yue, Sarah E. Reisman:
Graph Neural Networks for the Prediction of Substrate-Specific Organic Reaction Conditions. CoRR abs/2007.04275 (2020) - [i56]Eric Zhao, Anqi Liu, Animashree Anandkumar, Yisong Yue:
Active Learning under Label Shift. CoRR abs/2007.08479 (2020) - [i55]Ameesh Shah, Eric Zhan, Jennifer J. Sun, Abhinav Verma, Yisong Yue, Swarat Chaudhuri:
Learning Differentiable Programs with Admissible Neural Heuristics. CoRR abs/2007.12101 (2020) - [i54]Haoxuan Wang, Anqi Liu, Zhiding Yu, Yisong Yue, Anima Anandkumar:
Distributionally Robust Learning for Unsupervised Domain Adaptation. CoRR abs/2010.05784 (2020) - [i53]Joseph Marino, Alexandre Piché, Alessandro Davide Ialongo, Yisong Yue:
Iterative Amortized Policy Optimization. CoRR abs/2010.10670 (2020) - [i52]Chenkai Yu, Guanya Shi, Soon-Jo Chung, Yisong Yue, Adam Wierman:
Competitive Control with Delayed Imperfect Information. CoRR abs/2010.11637 (2020) - [i51]Sabera Talukder, Guruprasad Raghavan, Yisong Yue:
Architecture Agnostic Neural Networks. CoRR abs/2011.02712 (2020) - [i50]Kejun Li, Maegan Tucker, Erdem Biyik, Ellen R. Novoseller, Joel W. Burdick, Yanan Sui, Dorsa Sadigh, Yisong Yue, Aaron D. Ames:
ROIAL: Region of Interest Active Learning for Characterizing Exoskeleton Gait Preference Landscapes. CoRR abs/2011.04812 (2020) - [i49]Neil Abcouwer, Shreyansh Daftry, Siddarth Venkatraman, Tyler del Sesto, Olivier Toupet, Ravi Lanka, Jialin Song, Yisong Yue, Masahiro Ono:
Machine Learning Based Path Planning for Improved Rover Navigation (Pre-Print Version). CoRR abs/2011.06022 (2020) - [i48]George Barnum, Sabera Talukder, Yisong Yue:
On the Benefits of Early Fusion in Multimodal Representation Learning. CoRR abs/2011.07191 (2020) - [i47]Andrew J. Taylor, Victor D. Dorobantu, Sarah Dean, Benjamin Recht, Yisong Yue, Aaron D. Ames:
Towards Robust Data-Driven Control Synthesis for Nonlinear Systems with Actuation Uncertainty. CoRR abs/2011.10730 (2020) - [i46]Jennifer J. Sun, Ann Kennedy, Eric Zhan, Yisong Yue, Pietro Perona:
Task Programming: Learning Data Efficient Behavior Representations. CoRR abs/2011.13917 (2020) - [i45]Guanya Shi, Wolfgang Hönig, Xichen Shi, Yisong Yue, Soon-Jo Chung:
Neural-Swarm2: Planning and Control of Heterogeneous Multirotor Swarms using Learned Interactions. CoRR abs/2012.05457 (2020)
2010 – 2019
- 2019
- [c56]Jialin Song, Yuxin Chen, Yisong Yue:
A General Framework for Multi-fidelity Bayesian Optimization with Gaussian Processes. AISTATS 2019: 3158-3167 - [c55]Kevin K. Yang, Yuxin Chen, Alycia Lee, Yisong Yue:
Batched Stochastic Bayesian Optimization via Combinatorial Constraints Design. AISTATS 2019: 3410-3419 - [c54]Mohamadreza Ahmadi, Bo Wu, Yuxin Chen, Yisong Yue, Ufuk Topcu:
Barrier Certificates for Assured Machine Teaching. ACC 2019: 3658-3663 - [c53]Andrew J. Taylor, Victor D. Dorobantu, Meera Krishnamoorthy, Hoang Minh Le, Yisong Yue, Aaron D. Ames:
A Control Lyapunov Perspective on Episodic Learning via Projection to State Stability. CDC 2019: 1448-1455 - [c52]Eric Zhan, Stephan Zheng, Yisong Yue, Long Sha, Patrick Lucey:
Generating Multi-Agent Trajectories using Programmatic Weak Supervision. ICLR (Poster) 2019 - [c51]Richard Cheng, Abhinav Verma, Gábor Orosz, Swarat Chaudhuri, Yisong Yue, Joel Burdick:
Control Regularization for Reduced Variance Reinforcement Learning. ICML 2019: 1141-1150 - [c50]Hoang Minh Le, Cameron Voloshin, Yisong Yue:
Batch Policy Learning under Constraints. ICML 2019: 3703-3712 - [c49]Yingshui Tan, Baihong Jin, Alexander J. Nettekoven, Yuxin Chen, Yisong Yue, Ufuk Topcu, Alberto L. Sangiovanni-Vincentelli:
An Encoder-Decoder Based Approach for Anomaly Detection with Application in Additive Manufacturing. ICMLA 2019: 1008-1015 - [c48]Guanya Shi, Xichen Shi, Michael O'Connell, Rose Yu, Kamyar Azizzadenesheli, Animashree Anandkumar, Yisong Yue, Soon-Jo Chung:
Neural Lander: Stable Drone Landing Control Using Learned Dynamics. ICRA 2019: 9784-9790 - [c47]Andrew J. Taylor, Victor D. Dorobantu, Hoang Minh Le, Yisong Yue, Aaron D. Ames:
Episodic Learning with Control Lyapunov Functions for Uncertain Robotic Systems*. IROS 2019: 6878-6884 - [c46]Anette Hunziker, Yuxin Chen, Oisin Mac Aodha, Manuel Gomez Rodriguez, Andreas Krause, Pietro Perona, Yisong Yue, Adish Singla:
Teaching Multiple Concepts to a Forgetful Learner. NeurIPS 2019: 4050-4060 - [c45]Yukai Liu, Rose Yu, Stephan Zheng, Eric Zhan, Yisong Yue:
NAOMI: Non-Autoregressive Multiresolution Sequence Imputation. NeurIPS 2019: 11236-11246 - [c44]Nikhil Ghosh, Yuxin Chen, Yisong Yue:
Landmark Ordinal Embedding. NeurIPS 2019: 11502-11511 - [c43]Abhinav Verma, Hoang Minh Le, Yisong Yue, Swarat Chaudhuri:
Imitation-Projected Programmatic Reinforcement Learning. NeurIPS 2019: 15726-15737 - [c42]Jialin Song, Ravi Lanka, Yisong Yue, Masahiro Ono:
Co-training for Policy Learning. UAI 2019: 1191-1201 - [i44]Yukai Liu, Rose Yu, Stephan Zheng, Eric Zhan, Yisong Yue:
NAOMI: Non-Autoregressive Multiresolution Sequence Imputation. CoRR abs/1901.10946 (2019) - [i43]Andrew J. Taylor, Victor D. Dorobantu, Hoang Minh Le, Yisong Yue, Aaron D. Ames:
Episodic Learning with Control Lyapunov Functions for Uncertain Robotic Systems. CoRR abs/1903.01577 (2019) - [i42]Andrew J. Taylor, Victor D. Dorobantu, Meera Krishnamoorthy, Hoang Minh Le, Yisong Yue, Aaron D. Ames:
A Control Lyapunov Perspective on Episodic Learning via Projection to State Stability. CoRR abs/1903.07214 (2019) - [i41]