Yisong Yue

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 234

Top Venues

Publications

Yujia Huang, Adishree Ghatare, Yuanzhe Liu, Ziniu Hu, Qinsheng Zhang, Chandramouli Shama Sastry, Siddharth Gururani, Sageev Oore, Yisong Yue
Symbolic Music Generation with Non-Differentiable Rule Guided Diffusion. CoRR (2024)
Zhengfei Zhang, Kishan Panaganti, Laixi Shi, Yanan Sui, Adam Wierman, Yisong Yue
Distributionally Robust Constrained Reinforcement Learning under Strong Duality. CoRR (2024)
Min Cai, Yuchen Zhang, Shichang Zhang, Fan Yin, Difan Zou, Yisong Yue, Ziniu Hu
Self-Control of LLM Behaviors by Compressing Suffix Gradient into Prefix Controller. CoRR (2024)
Dan Zhang, Sining Zhoubian, Yisong Yue, Yuxiao Dong, Jie Tang
ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search. CoRR (2024)
Sabera Talukder, Yisong Yue, Georgia Gkioxari
TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis. CoRR (2024)
Yihong Guo, Hao Liu, Yisong Yue, Anqi Liu
Distributionally Robust Policy Evaluation under General Covariate Shift in Contextual Bandits. CoRR (2024)
Dan Zhang, Ziniu Hu, Sining Zhoubian, Zhengxiao Du, Kaiyu Yang, Zihan Wang, Yisong Yue, Yuxiao Dong, Jie Tang
SciGLM: Training Scientific Language Models with Self-Reflective Instruction Annotation and Tuning. CoRR (2024)
Yiheng Lin, James A. Preiss, Fengze Xie, Emile Anand, Soon-Jo Chung, Yisong Yue, Adam Wierman
Online Policy Optimization in Unknown Nonlinear Systems. COLT (2024)
Kejun Li, Jeeseop Kim, Xiaobin Xiong, Kaveh Akbari Hamed, Yisong Yue, Aaron D. Ames
Data-Driven Predictive Control for Robust Exoskeleton Locomotion. CoRR (2024)
Yihong Guo, Hao Liu, Yisong Yue, Anqi Liu
Distributionally Robust Policy Evaluation under General Covariate Shift in Contextual Bandits. Trans. Mach. Learn. Res. 2024 (2024)
Geeling Chau, Yujin An, Ahamed Raffey Iqbal, Soon-Jo Chung, Yisong Yue, Sabera Talukder
Generalizability Under Sensor Failure: Tokenization + Transformers Enable More Robust Latent Spaces. CoRR (2024)
Zihui Wu, Yu Sun, Yifan Chen, Bingliang Zhang, Yisong Yue, Katherine L. Bouman
Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors. CoRR (2024)
Ziniu Hu, Ahmet Iscen, Aashi Jain, Thomas Kipf, Yisong Yue, David A. Ross, Cordelia Schmid, Alireza Fathi
SceneCraft: An LLM Agent for Synthesizing 3D Scene as Blender Code. CoRR (2024)
Fengze Xie, Guanya Shi, Michael O'Connell, Yisong Yue, Soon-Jo Chung
Hierarchical Meta-learning-based Adaptive Controller. ICRA (2024)
Geeling Chau, Christopher Wang, Sabera Talukder, Vighnesh Subramaniam, Saraswati Soedarmadji, Yisong Yue, Boris Katz, Andrei Barbu
Population Transformer: Learning Population-level Representations of Intracranial Activity. CoRR (2024)
Fanzeng Xia, Hao Liu, Yisong Yue, Tongxin Li
Beyond Numeric Awards: In-Context Dueling Bandits with LLM Agents. CoRR (2024)
Raul Astudillo, Kejun Li, Maegan Tucker, Chu Xin Cheng, Aaron D. Ames, Yisong Yue
Preferential Multi-Objective Bayesian Optimization. CoRR (2024)
Cameron Voloshin, Abhinav Verma, Yisong Yue
Eventual Discounting Temporal Logic Counterfactual Experience Replay. ICML (2023)
Jennifer J. Sun, Markus Marks, Andrew Wesley Ulmer, Dipam Chakraborty, Brian Geuther, Edward Hayes, Heng Jia, Vivek Kumar, Sebastian Oleszko, Zachary Partridge, Milan Peelman, Alice Robie, Catherine E. Schretter, Keith Sheppard, Chao Sun, Param Uttarwar, Julian Morgan Wagner, Erik Werner, Joseph Parker, Pietro Perona, Yisong Yue, Kristin Branson, Ann Kennedy
MABe22: A Multi-Species Multi-Task Benchmark for Learned Representations of Behavior. ICML (2023)
Victor D. Dorobantu, Charlotte Borcherds, Yisong Yue
Conformal Generative Modeling on Triangulated Surfaces. CoRR (2023)
Fengze Xie, Marcus Dominguez-Kuhne, Benjamin Rivière, Jialin Song, Wolfgang Hönig, Soon-Jo Chung, Yisong Yue
Joint-Space Multi-Robot Motion Planning with Learned Decentralized Heuristics. CoRR (2023)
Ugo Rosolia, Yuxiao Chen, Shreyansh Daftry, Masahiro Ono, Yisong Yue, Aaron D. Ames
The Mixed-Observable Constrained Linear Quadratic Regulator Problem: The Exact Solution and Practical Algorithms. IEEE Trans. Autom. Control. 68 (7) (2023)
Yiheng Lin, James A. Preiss, Emile Anand, Yingying Li, Yisong Yue, Adam Wierman
Online Adaptive Policy Selection in Time-Varying Systems: No-Regret via Contractive Perturbations. NeurIPS (2023)
Jennifer J. Sun, Lili Karashchuk, Amil Dravid, Serim Ryou, Sonia Fereidooni, John C. Tuthill, Aggelos K. Katsaggelos, Bingni W. Brunton, Georgia Gkioxari, Ann Kennedy, Yisong Yue, Pietro Perona
BKinD-3D: Self-Supervised 3D Keypoint Discovery from Multi-View Videos. CVPR (2023)
Victor D. Dorobantu, Kamyar Azizzadenesheli, Yisong Yue
Compactly Restrictable Metric Policy Optimization Problems. IEEE Trans. Autom. Control. 68 (5) (2023)
Fengze Xie, Guanya Shi, Michael O'Connell, Yisong Yue, Soon-Jo Chung
Hierarchical Meta-learning-based Adaptive Controller. CoRR (2023)
Cameron Voloshin, Abhinav Verma, Yisong Yue
Eventual Discounting Temporal Logic Counterfactual Experience Replay. CoRR (2023)
Jeremy Bernstein, Chris Mingard, Kevin Huang, Navid Azizan, Yisong Yue
Automatic Gradient Descent: Deep Learning without Hyperparameters. CoRR (2023)
Fengxue Zhang, Jialin Song, James C. Bowden, Alexander Ladd, Yisong Yue, Thomas A. Desautels, Yuxin Chen
Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation. CoRR (2023)
Christopher Yeh, Victor Li, Rajeev Datta, Julio Arroyo, Nicolas Christianson, Chi Zhang, Yize Chen, Mohammad Mehdi Hosseini, Azarang Golmohammadi, Yuanyuan Shi, Yisong Yue, Adam Wierman
SustainGym: Reinforcement Learning Environments for Sustainable Energy Systems. NeurIPS (2023)
Haoxuan Wang, Zhiding Yu, Yisong Yue, Animashree Anandkumar, Anqi Liu, Junchi Yan
Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach. IJCAI (2023)
Fengxue Zhang, Jialin Song, James C. Bowden, Alexander Ladd, Yisong Yue, Thomas Desautels, Yuxin Chen
Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation. ICML (2023)
Ryan K. Cosner, Yisong Yue, Aaron D. Ames
End-to-End Imitation Learning with Safety Guarantees using Control Barrier Functions. CDC (2022)
Victor D. Dorobantu, Kamyar Azizzadenesheli, Yisong Yue
Compactly Restrictable Metric Policy Optimization Problems. CoRR (2022)
Yujia Huang, Ivan Dario Jimenez Rodriguez, Huan Zhang, Yuanyuan Shi, Yisong Yue
FI-ODE: Certified and Robust Forward Invariance in Neural ODEs. CoRR (2022)
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 (2022)
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 (2022)
Sabera Talukder, Jennifer J. Sun, Matthew Leonard, Bingni W. Brunton, Yisong Yue
Deep Neural Imputation: A Framework for Recovering Incomplete Brain Recordings. CoRR (2022)
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 (2022)
Ivan Dario Jimenez Rodriguez, Aaron D. Ames, Yisong Yue
LyaNet: A Lyapunov Framework for Training Neural ODEs. CoRR (2022)
Aaron M. Ferber, Jialin Song, Bistra Dilkina, Yisong Yue
Learning Pseudo-Backdoors for Mixed Integer Programs. CPAIOR (2022)
Alexander R. Farhang, Jeremy Bernstein, Kushal Tirumala, Yang Liu, Yisong Yue
Investigating Generalization by Controlling Normalized Margin. CoRR (2022)
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) (2022)
Jennifer J. Sun, Andrew Ulmer, Dipam Chakraborty, Brian Geuther, Edward Hayes, Heng Jia, Vivek Kumar, Zachary Partridge, Alice Robie, Catherine E. Schretter, Chao Sun, Keith Sheppard, Param Uttarwar, Pietro Perona, Yisong Yue, Kristin Branson, Ann Kennedy
The MABe22 Benchmarks for Representation Learning of Multi-Agent Behavior. CoRR (2022)
Ivan Dario Jimenez Rodriguez, Aaron D. Ames, Yisong Yue
LyaNet: A Lyapunov Framework for Training Neural ODEs. ICML (2022)
Cameron Voloshin, Hoang Minh Le, Swarat Chaudhuri, Yisong Yue
Policy Optimization with Linear Temporal Logic Constraints. CoRR (2022)
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. CDC (2022)
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 (2022)
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)
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) (2022)
Ryan K. Cosner, Yisong Yue, Aaron D. Ames
End-to-End Imitation Learning with Safety Guarantees using Control Barrier Functions. CoRR (2022)
Jennifer J. Sun, Megan Tjandrasuwita, Atharva Sehgal, Armando Solar-Lezama, Swarat Chaudhuri, Yisong Yue, Omar Costilla-Reyes
Neurosymbolic Programming for Science. CoRR (2022)
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)
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. IEEE Robotics Autom. Lett. 7 (2) (2022)
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 (2022)
Chenkai Yu, Guanya Shi, Soon-Jo Chung, Yisong Yue, Adam Wierman
Competitive Control with Delayed Imperfect Information. ACC (2022)
Jennifer J. Sun, Pierre Karashchuk, Amil Dravid, Serim Ryou, Sonia Fereidooni, John Tuthill, Aggelos K. Katsaggelos, Bingni W. Brunton, Georgia Gkioxari, Ann Kennedy, Yisong Yue, Pietro Perona
BKinD-3D: Self-Supervised 3D Keypoint Discovery from Multi-View Videos. CoRR (2022)
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)
Jennifer J. Sun, Serim Ryou, Roni H. Goldshmid, Brandon Weissbourd, John O. Dabiri, David J. Anderson, Ann Kennedy, Yisong Yue, Pietro Perona
Self-Supervised Keypoint Discovery in Behavioral Videos. CVPR (2022)
Albert Tseng, Jennifer J. Sun, Yisong Yue
Automatic Synthesis of Diverse Weak Supervision Sources for Behavior Analysis. CVPR (2022)
Eric Zhan, Jennifer J. Sun, Ann Kennedy, Yisong Yue, Swarat Chaudhuri
Unsupervised Learning of Neurosymbolic Encoders. Trans. Mach. Learn. Res. 2022 (2022)
Cameron Voloshin, Hoang Minh Le, Swarat Chaudhuri, Yisong Yue
Policy Optimization with Linear Temporal Logic Constraints. NeurIPS (2022)
Alexander R. Farhang, Jeremy D. Bernstein, Kushal Tirumala, Yang Liu, Yisong Yue
Investigating Generalization by Controlling Normalized Margin. ICML (2022)
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. ICRA (2022)
Maegan Tucker, Kejun Li, Yisong Yue, Aaron D. Ames
POLAR: Preference Optimization and Learning Algorithms for Robotics. CoRR (2022)
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 (2022)
Guanya Shi, Kamyar Azizzadenesheli, Michael O'Connell, Soon-Jo Chung, Yisong Yue
Meta-Adaptive Nonlinear Control: Theory and Algorithms. NeurIPS (2021)
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 (2021)
Jeremy Bernstein, Yisong Yue
Computing the Information Content of Trained Neural Networks. CoRR (2021)
Dawna Bagherian, James Gornet, Jeremy Bernstein, Yu-Li Ni, Yisong Yue, Markus Meister
Fine-Grained System Identification of Nonlinear Neural Circuits. CoRR (2021)
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) (2021)
Yang Liu, Jeremy Bernstein, Markus Meister, Yisong Yue
Learning by Turning: Neural Architecture Aware Optimisation. ICML (2021)
Megan Tjandrasuwita, Jennifer J. Sun, Ann Kennedy, Swarat Chaudhuri, Yisong Yue
Interpreting Expert Annotation Differences in Animal Behavior. CoRR (2021)
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 (2021)
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) (2021)
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 (2021)
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)
Dimitar Ho, Hoang Minh Le, John Doyle, Yisong Yue
Online Robust Control of Nonlinear Systems with Large Uncertainty. AISTATS (2021)
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) (2021)
Dimitar Ho, Hoang M. Le, John C. Doyle, Yisong Yue
Online Robust Control of Nonlinear Systems with Large Uncertainty. CoRR (2021)
Cameron Voloshin, Nan Jiang, Yisong Yue
Minimax Model Learning. CoRR (2021)
Albert Tseng, Jennifer J. Sun, Yisong Yue
Automatic Synthesis of Diverse Weak Supervision Sources for Behavior Analysis. CoRR (2021)
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 (2021)
Aaron M. Ferber, Jialin Song, Bistra Dilkina, Yisong Yue
Learning Pseudo-Backdoors for Mixed Integer Programs. SOCS (2021)
Swarat Chaudhuri, Kevin Ellis, Oleksandr Polozov, Rishabh Singh, Armando Solar-Lezama, Yisong Yue
Neurosymbolic Programming. Found. Trends Program. Lang. 7 (3) (2021)
Eric Zhao, Anqi Liu, Animashree Anandkumar, Yisong Yue
Active Learning under Label Shift. AISTATS (2021)
Eric Zhan, Jennifer J. Sun, Ann Kennedy, Yisong Yue, Swarat Chaudhuri
Unsupervised Learning of Neurosymbolic Encoders. CoRR (2021)
Yang Liu, Jeremy Bernstein, Markus Meister, Yisong Yue
Learning by Turning: Neural Architecture Aware Optimisation. CoRR (2021)
Manish Prajapat, Kamyar Azizzadenesheli, Alexander Liniger, Yisong Yue, Anima Anandkumar
Competitive policy optimization. UAI (2021)
Dawna Bagherian, James Gornet, Jeremy Bernstein, Yu-Li Ni, Yisong Yue, Markus Meister
Fine-Grained System Identification of Nonlinear Neural Circuits. KDD (2021)
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)
Ayya Alieva, Aiden Aceves, Jialin Song, Stephen Mayo, Yisong Yue, Yuxin Chen
Learning to Make Decisions via Submodular Regularization. ICLR (2021)
Angela F. Gao, Jorge C. Castellanos, Yisong Yue, Zachary E. Ross, Katherine L. Bouman
DeepGEM: Generalized Expectation-Maximization for Blind Inversion. NeurIPS (2021)
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 (2021)
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 (2021)
Yidan Qin, Max Allan, Yisong Yue, Joel W. Burdick, Mahdi Azizian
Learning Invariant Representation of Tasks for Robust Surgical State Estimation. CoRR (2021)
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)
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 (2021)
Aaron M. Ferber, Jialin Song, Bistra Dilkina, Yisong Yue
Learning Pseudo-Backdoors for Mixed Integer Programs. CoRR (2021)
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 (2021)

Yisong Yue.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Yisong Yue