Yisong Yue

328 papers A* 84A 18B 2C 4Misc 1Journal 195Unranked 23
YearRankTypeTitle / Venue / Authors
2026 J jnl
Actor-Curator: Co-adaptive Curriculum Learning via Policy-Improvement Bandits for RL Post-Training.
CoRR
Zhengyao Gu, Jonathan Light, Raul Astudillo, Ziyu Ye, Langzhou He, Henry Peng Zou, Wei Cheng, Santiago Paternain, Philip S. Yu, Yisong Yue
2026 J jnl
CLF-RL: Control Lyapunov Function Guided Reinforcement Learning.
IEEE Robotics Autom. Lett.
Kejun Li, Zachary Olkin, Yisong Yue, Aaron D. Ames
2026 J jnl
Evaluating Agentic Optimization on Large Codebases.
CoRR
Atharva Sehgal, James Hou, Akanksha Sarkar, Ishaan Mantripragada, Swarat Chaudhuri, Jennifer J. Sun, Yisong Yue
2026 J jnl
Krause Synchronization Transformers.
CoRR
Jingkun Liu, Yisong Yue, Max Welling, Yue Song
2026 J jnl
NitroGen: An Open Foundation Model for Generalist Gaming Agents.
CoRR
Loic Magne, Anas Awadalla, Guanzhi Wang, Yinzhen Xu, Joshua Belofsky, Fengyuan Hu, Joohwan Kim, Ludwig Schmidt, Georgia Gkioxari, Jan Kautz, Yisong Yue, Yejin Choi, Yuke Zhu, Linxi Jim Fan
2026 J jnl
Unsupervised Representation Learning From Sparse Transformation Analysis.
IEEE Trans. Pattern Anal. Mach. Intell.
Yue Song, T. Anderson Keller, Yisong Yue, Pietro Perona, Max Welling
2025 J jnl
A Narwhal-Inspired Sensing-to-Control Framework for Small Fixed-Wing Aircraft.
CoRR
Fengze Xie, Xiaozhou Fan, Jacob Schuster, Yisong Yue, Morteza Gharib
2025 — conf
Beyond Numeric Rewards: In-Context Dueling Bandits with LLM Agents.
ACL (Findings)
Fanzeng Xia, Hao Liu, Yisong Yue, Tongxin Li
2025 J jnl
Blade: A Derivative-free Bayesian Inversion Method using Diffusion Priors.
CoRR
Hongkai Zheng, Austin Wang, Zihui Wu, Zhengyu Huang, Ricardo Baptista, Yisong Yue
2025 J jnl
CLEVER: A Curated Benchmark for Formally Verified Code Generation.
CoRR
Amitayush Thakur, Jasper Lee, George Tsoukalas, Meghana Sistla, Matthew Zhao, Stefan Zetzsche, Greg Durrett, Yisong Yue, Swarat Chaudhuri
2025 J jnl
CLF-RL: Control Lyapunov Function Guided Reinforcement Learning.
CoRR
Kejun Li, Zachary Olkin, Yisong Yue, Aaron D. Ames
2025 J jnl
Conformal Risk Training: End-to-End Optimization of Conformal Risk Control.
CoRR
Christopher Yeh, Nicolas Christianson, Adam Wierman, Yisong Yue
2025 J jnl
DataSciBench: An LLM Agent Benchmark for Data Science.
CoRR
Dan Zhang, Sining Zhoubian, Min Cai, Fengzu Li, Lekang Yang, Wei Wang, Tianjiao Dong, Ziniu Hu, Jie Tang, Yisong Yue
2025 J jnl
Discrete Diffusion Trajectory Alignment via Stepwise Decomposition.
CoRR
Jiaqi Han, Austin Wang, Minkai Xu, Wenda Chu, Meihua Dang, Yisong Yue, Stefano Ermon
2025 J jnl
Embodied Learning of Reward for Musculoskeletal Control with Vision Language Models.
CoRR
Saraswati Soedarmadji, Yunyue Wei, Chen Zhang, Yisong Yue, Yanan Sui
2025 J jnl
EnCompass: Enhancing Agent Programming with Search Over Program Execution Paths.
CoRR
Zhening Li, Armando Solar-Lezama, Yisong Yue, Stephan Zheng
2025 J jnl
End-to-End Conformal Calibration for Optimization Under Uncertainty.
Trans. Mach. Learn. Res.
Christopher Yeh, Nicolas Christianson, Alan Wu, Adam Wierman, Yisong Yue
2025 J jnl
Ensemble Kalman Diffusion Guidance: A Derivative-free Method for Inverse Problems.
Trans. Mach. Learn. Res.
Hongkai Zheng, Wenda Chu, Austin Wang, Nikola Borislavov Kovachki, Ricardo Baptista, Yisong Yue
2025 J jnl
Escaping Plato's Cave: JAM for Aligning Independently Trained Vision and Language Models.
CoRR
Lauren Hyoseo Yoon, Yisong Yue, Been Kim
2025 J jnl
Fast Non-Episodic Adaptive Tuning of Robot Controllers with Online Policy Optimization.
CoRR
James A. Preiss, Fengze Xie, Yiheng Lin, Adam Wierman, Yisong Yue
2025 J jnl
Feedforward 3D Editing via Text-Steerable Image-to-3D.
CoRR
Ziqi Ma, Hongqiao Chen, Yisong Yue, Georgia Gkioxari
2025 A conf
Hybrid Data-Driven Predictive Control for Robust and Reactive Exoskeleton Locomotion Synthesis.
IROS
Kejun Li, Jeeseop Kim, Maxime Brunet, Marine Pétriaux, Yisong Yue, Aaron D. Ames
2025 J jnl
Hybrid Data-Driven Predictive Control for Robust and Reactive Exoskeleton Locomotion Synthesis.
CoRR
Kejun Li, Jeeseop Kim, Maxime Brunet, Marine Pétriaux, Yisong Yue, Aaron D. Ames
2025 A* conf
InverseBench: Benchmarking Plug-and-Play Diffusion Priors for Inverse Problems in Physical Sciences.
ICLR
Hongkai Zheng, Wenda Chu, Bingliang Zhang, Zihui Wu, Austin Wang, Berthy Feng, Caifeng Zou, Yu Sun, Nikola Borislavov Kovachki, Zachary E. Ross, Katherine L. Bouman, Yisong Yue
2025 J jnl
InverseBench: Benchmarking Plug-and-Play Diffusion Priors for Inverse Problems in Physical Sciences.
CoRR
Hongkai Zheng, Wenda Chu, Bingliang Zhang, Zihui Wu, Austin Wang, Berthy T. Feng, Caifeng Zou, Yu Sun, Nikola B. Kovachki, Zachary E. Ross, Katherine L. Bouman, Yisong Yue
2025 J jnl
KALIKO: Kalman-Implicit Koopman Operator Learning For Prediction of Nonlinear Dynamical Systems.
CoRR
Albert H. Li, Ivan Dario Jimenez Rodriguez, Joel W. Burdick, Yisong Yue, Aaron D. Ames
2025 J jnl
Kuramoto Orientation Diffusion Models.
CoRR
Yue Song, T. Anderson Keller, Sevan Brodjian, Takeru Miyato, Yisong Yue, Pietro Perona, Max Welling
2025 J jnl
Langevin Flows for Modeling Neural Latent Dynamics.
CoRR
Yue Song, T. Anderson Keller, Yisong Yue, Pietro Perona, Max Welling
2025 J jnl
Learning Time-Scale Invariant Population-Level Neural Representations.
CoRR
Eshani Patel, Yisong Yue, Geeling Chau
2025 — conf
Morphological-Symmetry-Equivariant Heterogeneous Graph Neural Network for Robotic Dynamics Learning.
L4DC
Fengze Xie, Sizhe Wei, Yue Song, Yisong Yue, Lu Gan
2025 A* conf
Population Transformer: Learning Population-level Representations of Neural Activity.
ICLR
Geeling Chau, Christopher Wang, Sabera J. Talukder, Vighnesh Subramaniam, Saraswati Soedarmadji, Yisong Yue, Boris Katz, Andrei Barbu
2025 J jnl
Preferential Multi-Objective Bayesian Optimization.
Trans. Mach. Learn. Res.
Raul Astudillo, Kejun Li, Maegan Tucker, Chu Xin Cheng, Aaron D. Ames, Yisong Yue
2025 J jnl
STeP: A General and Scalable Framework for Solving Video Inverse Problems with Spatiotemporal Diffusion Priors.
CoRR
Bingliang Zhang, Zihui Wu, Berthy T. Feng, Yang Song, Yisong Yue, Katherine L. Bouman
2025 A* conf
Self-Evolving Visual Concept Library using Vision-Language Critics.
CVPR
Atharva Sehgal, Patrick Yuan, Ziniu Hu, Yisong Yue, Jennifer J. Sun, Swarat Chaudhuri
2025 J jnl
Self-Evolving Visual Concept Library using Vision-Language Critics.
CoRR
Atharva Sehgal, Patrick Yuan, Ziniu Hu, Yisong Yue, Jennifer J. Sun, Swarat Chaudhuri
2025 J jnl
Simple Agents Outperform Experts in Biomedical Imaging Workflow Optimization.
CoRR
Xuefei Wang, Kai A. Horstmann, Ethan Lin, Jonathan Chen, Alexander R. Farhang, Sophia Stiles, Atharva Sehgal, Jonathan Light, David Van Valen, Yisong Yue, Jennifer J. Sun
2025 J jnl
Split Gibbs Discrete Diffusion Posterior Sampling.
CoRR
Wenda Chu, Yang Song, Yisong Yue
2025 J jnl
Steering Generative Models with Experimental Data for Protein Fitness Optimization.
CoRR
Jason Yang, Wenda Chu, Daniel Khalil, Raul Astudillo, Bruce J. Wittmann, Frances H. Arnold, Yisong Yue
2025 A* conf
Strategist: Self-improvement of LLM Decision Making via Bi-Level Tree Search.
ICLR
Jonathan Light, Min Cai, Weiqin Chen, Guanzhi Wang, Xiusi Chen, Wei Cheng, Yisong Yue, Ziniu Hu
2025 J jnl
TDRM: Smooth Reward Models with Temporal Difference for LLM RL and Inference.
CoRR
Dan Zhang, Min Cai, Jonathan Light, Ziniu Hu, Yisong Yue, Jie Tang
2025 A* conf
Visual Agentic AI for Spatial Reasoning with a Dynamic API.
CVPR
Damiano Marsili, Rohun Agrawal, Yisong Yue, Georgia Gkioxari
2025 J jnl
Visual Agentic AI for Spatial Reasoning with a Dynamic API.
CoRR
Damiano Marsili, Rohun Agrawal, Yisong Yue, Georgia Gkioxari
2024 J jnl
Beyond Numeric Awards: In-Context Dueling Bandits with LLM Agents.
CoRR
Fanzeng Xia, Hao Liu, Yisong Yue, Tongxin Li
2024 A* conf
CARE: a Benchmark Suite for the Classification and Retrieval of Enzymes.
NeurIPS
Jason Yang, Ariane Mora, Shengchao Liu, Bruce J. Wittmann, Animashree Anandkumar, Frances H. Arnold, Yisong Yue
2024 J jnl
CARE: a Benchmark Suite for the Classification and Retrieval of Enzymes.
CoRR
Jason Yang, Ariane Mora, Shengchao Liu, Bruce J. Wittmann, Anima Anandkumar, Frances H. Arnold, Yisong Yue
2024 — conf
Constructive Nonlinear Control of Underactuated Systems via Zero Dynamics Policies.
CDC
William D. Compton, Ivan Dario Jimenez Rodriguez, Noel Csomay-Shanklin, Yisong Yue, Aaron D. Ames
2024 J jnl
Constructive Nonlinear Control of Underactuated Systems via Zero Dynamics Policies.
CoRR
William D. Compton, Ivan Dario Jimenez Rodriguez, Noel Csomay-Shanklin, Yisong Yue, Aaron D. Ames
2024 A conf
Data-Driven Predictive Control for Robust Exoskeleton Locomotion.
IROS
Kejun Li, Jeeseop Kim, Xiaobin Xiong, Kaveh Akbari Hamed, Yisong Yue, Aaron D. Ames
2024 J jnl
Data-Driven Predictive Control for Robust Exoskeleton Locomotion.
CoRR
Kejun Li, Jeeseop Kim, Xiaobin Xiong, Kaveh Akbari Hamed, Yisong Yue, Aaron D. Ames
2024 A* conf
Disentangling Linear Quadratic Control with Untrusted ML Predictions.
NeurIPS
Tongxin Li, Hao Liu, Yisong Yue
2024 J jnl
Distributionally Robust Constrained Reinforcement Learning under Strong Duality.
RLJ
Zhengfei Zhang, Kishan Panaganti, Laixi Shi, Yanan Sui, Adam Wierman, Yisong Yue
2024 J jnl
Distributionally Robust Constrained Reinforcement Learning under Strong Duality.
CoRR
Zhengfei Zhang, Kishan Panaganti, Laixi Shi, Yanan Sui, Adam Wierman, Yisong Yue
2024 J jnl
Distributionally Robust Policy Evaluation under General Covariate Shift in Contextual Bandits.
CoRR
Yihong Guo, Hao Liu, Yisong Yue, Anqi Liu
2024 J jnl
Distributionally Robust Policy Evaluation under General Covariate Shift in Contextual Bandits.
Trans. Mach. Learn. Res.
Yihong Guo, Hao Liu, Yisong Yue, Anqi Liu
2024 J jnl
End-to-End Conformal Calibration for Optimization Under Uncertainty.
CoRR
Christopher Yeh, Nicolas Christianson, Alan Wu, Adam Wierman, Yisong Yue
2024 J jnl
Ensemble Kalman Diffusion Guidance: A Derivative-free Method for Inverse Problems.
CoRR
Hongkai Zheng, Wenda Chu, Austin Wang, Nikola B. Kovachki, Ricardo Baptista, Yisong Yue
2024 A* conf
Feature Reuse and Scaling: Understanding Transfer Learning with Protein Language Models.
ICML
Francesca-Zhoufan Li, Ava P. Amini, Yisong Yue, Kevin K. Yang, Alex Xijie Lu
2024 J jnl
Find Any Part in 3D.
CoRR
Ziqi Ma, Yisong Yue, Georgia Gkioxari
2024 J jnl
Generalizability Under Sensor Failure: Tokenization + Transformers Enable More Robust Latent Spaces.
CoRR
Geeling Chau, Yujin An, Ahamed Raffey Iqbal, Soon-Jo Chung, Yisong Yue, Sabera Talukder
2024 A* conf
Hierarchical Meta-learning-based Adaptive Controller.
ICRA
Fengze Xie, Guanya Shi, Michael O'Connell, Yisong Yue, Soon-Jo Chung
2024 C conf
Humanlike Behavior in a Third-Person Shooter with Imitation Learning.
CoG
Alexander R. Farhang, Brendan Mulcahy, Daniel Holden, Iain Matthews, Yisong Yue
2024 J jnl
Morphological-Symmetry-Equivariant Heterogeneous Graph Neural Network for Robotic Dynamics Learning.
CoRR
Fengze Xie, Sizhe Wei, Yue Song, Yisong Yue, Lu Gan
2024 A* conf
Online Policy Optimization in Unknown Nonlinear Systems.
COLT
Yiheng Lin, James A. Preiss, Fengze Xie, Emile Anand, Soon-Jo Chung, Yisong Yue, Adam Wierman
2024 J jnl
PIANIST: Learning Partially Observable World Models with LLMs for Multi-Agent Decision Making.
CoRR
Jonathan Light, Sixue Xing, Yuanzhe Liu, Weiqin Chen, Min Cai, Xiusi Chen, Guanzhi Wang, Wei Cheng, Yisong Yue, Ziniu Hu
2024 J jnl
Population Transformer: Learning Population-level Representations of Intracranial Activity.
CoRR
Geeling Chau, Christopher Wang, Sabera Talukder, Vighnesh Subramaniam, Saraswati Soedarmadji, Yisong Yue, Boris Katz, Andrei Barbu
2024 A* conf
Practical Bayesian Algorithm Execution via Posterior Sampling.
NeurIPS
Chu Xin Cheng, Raul Astudillo, Thomas A. Desautels, Yisong Yue
2024 J jnl
Practical Bayesian Algorithm Execution via Posterior Sampling.
CoRR
Chu Xin Cheng, Raul Astudillo, Thomas Desautels, Yisong Yue
2024 J jnl
Preferential Multi-Objective Bayesian Optimization.
CoRR
Raul Astudillo, Kejun Li, Maegan Tucker, Chu Xin Cheng, Aaron D. Ames, Yisong Yue
2024 A* conf
Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors.
NeurIPS
Zihui Wu, Yu Sun, Yifan Chen, Bingliang Zhang, Yisong Yue, Katherine L. Bouman
2024 J jnl
Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors.
CoRR
Zihui Wu, Yu Sun, Yifan Chen, Bingliang Zhang, Yisong Yue, Katherine L. Bouman
2024 A* conf
ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search.
NeurIPS
Dan Zhang, Sining Zhoubian, Ziniu Hu, Yisong Yue, Yuxiao Dong, Jie Tang
2024 J jnl
ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search.
CoRR
Dan Zhang, Sining Zhoubian, Yisong Yue, Yuxiao Dong, Jie Tang
2024 A conf
Robust Agility via Learned Zero Dynamics Policies.
IROS
Noel Csomay-Shanklin, William D. Compton, Ivan Dario Jimenez Rodriguez, Eric R. Ambrose, Yisong Yue, Aaron D. Ames
2024 J jnl
Robust Agility via Learned Zero Dynamics Policies.
CoRR
Noel Csomay-Shanklin, William D. Compton, Ivan Dario Jimenez Rodriguez, Eric R. Ambrose, Yisong Yue, Aaron D. Ames
2024 J jnl
SceneCraft: An LLM Agent for Synthesizing 3D Scene as Blender Code.
CoRR
Ziniu Hu, Ahmet Iscen, Aashi Jain, Thomas Kipf, Yisong Yue, David A. Ross, Cordelia Schmid, Alireza Fathi
2024 A* conf
SceneCraft: An LLM Agent for Synthesizing 3D Scenes as Blender Code.
ICML
Ziniu Hu, Ahmet Iscen, Aashi Jain, Thomas Kipf, Yisong Yue, David A. Ross, Cordelia Schmid, Alireza Fathi
2024 J jnl
SciGLM: Training Scientific Language Models with Self-Reflective Instruction Annotation and Tuning.
CoRR
Dan Zhang, Ziniu Hu, Sining Zhoubian, Zhengxiao Du, Kaiyu Yang, Zihan Wang, Yisong Yue, Yuxiao Dong, Jie Tang
2024 A* conf
SciInstruct: a Self-Reflective Instruction Annotated Dataset for Training Scientific Language Models.
NeurIPS
Dan Zhang, Ziniu Hu, Sining Zhoubian, Zhengxiao Du, Kaiyu Yang, Zihan Wang, Yisong Yue, Yuxiao Dong, Jie Tang
2024 J jnl
Self-Control of LLM Behaviors by Compressing Suffix Gradient into Prefix Controller.
CoRR
Min Cai, Yuchen Zhang, Shichang Zhang, Fan Yin, Difan Zou, Yisong Yue, Ziniu Hu
2024 J jnl
Strategist: Learning Strategic Skills by LLMs via Bi-Level Tree Search.
CoRR
Jonathan Light, Min Cai, Weiqin Chen, Guanzhi Wang, Xiusi Chen, Wei Cheng, Yisong Yue, Ziniu Hu
2024 A* conf
Symbolic Music Generation with Non-Differentiable Rule Guided Diffusion.
ICML
Yujia Huang, Adishree Ghatare, Yuanzhe Liu, Ziniu Hu, Qinsheng Zhang, Chandramouli Shama Sastry, Siddharth Gururani, Sageev Oore, Yisong Yue
2024 J jnl
Symbolic Music Generation with Non-Differentiable Rule Guided Diffusion.
CoRR
Yujia Huang, Adishree Ghatare, Yuanzhe Liu, Ziniu Hu, Qinsheng Zhang, Chandramouli Shama Sastry, Siddharth Gururani, Sageev Oore, Yisong Yue
2024 J jnl
TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis.
CoRR
Sabera Talukder, Yisong Yue, Georgia Gkioxari
2024 J jnl
TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis.
Trans. Mach. Learn. Res.
Sabera J. Talukder, Yisong Yue, Georgia Gkioxari
2024 — conf
Uncertainty Calibration for Tool-Using Language Agents.
EMNLP (Findings)
Hao Liu, Zi-Yi Dou, Yixin Wang, Nanyun Peng, Yisong Yue
2024 J jnl
Unsupervised Representation Learning from Sparse Transformation Analysis.
CoRR
Yue Song, T. Anderson Keller, Yisong Yue, Pietro Perona, Max Welling
2023 J jnl
Automatic Gradient Descent: Deep Learning without Hyperparameters.
CoRR
Jeremy Bernstein, Chris Mingard, Kevin Huang, Navid Azizan, Yisong Yue
2023 A* conf
BKinD-3D: Self-Supervised 3D Keypoint Discovery from Multi-View Videos.
CVPR
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
2023 J jnl
Compactly Restrictable Metric Policy Optimization Problems.
IEEE Trans. Autom. Control.
Victor D. Dorobantu, Kamyar Azizzadenesheli, Yisong Yue
2023 J jnl
Conformal Generative Modeling on Triangulated Surfaces.
CoRR
Victor D. Dorobantu, Charlotte Borcherds, Yisong Yue
2023 A* conf
Eventual Discounting Temporal Logic Counterfactual Experience Replay.
ICML
Cameron Voloshin, Abhinav Verma, Yisong Yue
2023 J jnl
Eventual Discounting Temporal Logic Counterfactual Experience Replay.
CoRR
Cameron Voloshin, Abhinav Verma, Yisong Yue
2023 J jnl
Hierarchical Meta-learning-based Adaptive Controller.
CoRR
Fengze Xie, Guanya Shi, Michael O'Connell, Yisong Yue, Soon-Jo Chung
2023 J jnl
Joint-Space Multi-Robot Motion Planning with Learned Decentralized Heuristics.
CoRR
Fengze Xie, Marcus Dominguez-Kuhne, Benjamin Rivière, Jialin Song, Wolfgang Hönig, Soon-Jo Chung, Yisong Yue
2023 A* conf
Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach.
IJCAI
Haoxuan Wang, Zhiding Yu, Yisong Yue, Animashree Anandkumar, Anqi Liu, Junchi Yan
2023 A* conf
Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation.
ICML
Fengxue Zhang, Jialin Song, James C. Bowden, Alexander Ladd, Yisong Yue, Thomas Desautels, Yuxin Chen
2023 J jnl
Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation.
CoRR
Fengxue Zhang, Jialin Song, James C. Bowden, Alexander Ladd, Yisong Yue, Thomas A. Desautels, Yuxin Chen
2023 A* conf
MABe22: A Multi-Species Multi-Task Benchmark for Learned Representations of Behavior.
ICML
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
2023 A* conf
Online Adaptive Policy Selection in Time-Varying Systems: No-Regret via Contractive Perturbations.
NeurIPS
Yiheng Lin, James A. Preiss, Emile Anand, Yingying Li, Yisong Yue, Adam Wierman
2023 A* conf
SustainGym: Reinforcement Learning Environments for Sustainable Energy Systems.
NeurIPS
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
2023 J jnl
The Mixed-Observable Constrained Linear Quadratic Regulator Problem: The Exact Solution and Practical Algorithms.
IEEE Trans. Autom. Control.
Ugo Rosolia, Yuxiao Chen, Shreyansh Daftry, Masahiro Ono, Yisong Yue, Aaron D. Ames
2022 A* conf
Automatic Synthesis of Diverse Weak Supervision Sources for Behavior Analysis.
CVPR
Albert Tseng, Jennifer J. Sun, Yisong Yue
2022 J jnl
BKinD-3D: Self-Supervised 3D Keypoint Discovery from Multi-View Videos.
CoRR
Jennifer J. Sun, Pierre Karashchuk, Amil Dravid, Serim Ryou, Sonia Fereidooni, John C. Tuthill, Aggelos K. Katsaggelos, Bingni W. Brunton, Georgia Gkioxari, Ann Kennedy, Yisong Yue, Pietro Perona
2022 J jnl
Compactly Restrictable Metric Policy Optimization Problems.
CoRR
Victor D. Dorobantu, Kamyar Azizzadenesheli, Yisong Yue
2022 C conf
Competitive Control with Delayed Imperfect Information.
ACC
Chenkai Yu, Guanya Shi, Soon-Jo Chung, Yisong Yue, Adam Wierman
2022 J jnl
Deep Neural Imputation: A Framework for Recovering Incomplete Brain Recordings.
CoRR
Sabera Talukder, Jennifer J. Sun, Matthew Leonard, Bingni W. Brunton, Yisong Yue
2022 — conf
End-to-End Imitation Learning with Safety Guarantees using Control Barrier Functions.
CDC
Ryan K. Cosner, Yisong Yue, Aaron D. Ames
2022 J jnl
End-to-End Imitation Learning with Safety Guarantees using Control Barrier Functions.
CoRR
Ryan K. Cosner, Yisong Yue, Aaron D. Ames
2022 J jnl
FI-ODE: Certified and Robust Forward Invariance in Neural ODEs.
CoRR
Yujia Huang, Ivan Dario Jimenez Rodriguez, Huan Zhang, Yuanyuan Shi, Yisong Yue
2022 A* conf
Investigating Generalization by Controlling Normalized Margin.
ICML
Alexander R. Farhang, Jeremy D. Bernstein, Kushal Tirumala, Yang Liu, Yisong Yue
2022 J jnl
Investigating Generalization by Controlling Normalized Margin.
CoRR
Alexander R. Farhang, Jeremy Bernstein, Kushal Tirumala, Yang Liu, Yisong Yue
2022 B conf
Learning Pseudo-Backdoors for Mixed Integer Programs.
CPAIOR
Aaron M. Ferber, Jialin Song, Bistra Dilkina, Yisong Yue
2022 A* conf
LyaNet: A Lyapunov Framework for Training Neural ODEs.
ICML
Ivan Dario Jimenez Rodriguez, Aaron D. Ames, Yisong Yue
2022 J jnl
LyaNet: A Lyapunov Framework for Training Neural ODEs.
CoRR
Ivan Dario Jimenez Rodriguez, Aaron D. Ames, Yisong Yue
2022 J jnl
MLNav: Learning to Safely Navigate on Martian Terrains.
CoRR
Shreyansh Daftry, Neil Abcouwer, Tyler del Sesto, Siddarth Venkatraman, Jialin Song, Lucas Igel, Amos Byon, Ugo Rosolia, Yisong Yue, Masahiro Ono
2022 J jnl
MLNav: Learning to Safely Navigate on Martian Terrains.
IEEE Robotics Autom. Lett.
Shreyansh Daftry, Neil Abcouwer, Tyler del Sesto, Siddarth Venkatraman, Jialin Song, Lucas Igel, Amos Byon, Ugo Rosolia, Yisong Yue, Masahiro Ono
2022 J jnl
Natural Multicontact Walking for Robotic Assistive Devices via Musculoskeletal Models and Hybrid Zero Dynamics.
IEEE Robotics Autom. Lett.
Kejun Li, Maegan Tucker, Rachel Gehlhar, Yisong Yue, Aaron D. Ames
2022 — conf
Neural Gaits: Learning Bipedal Locomotion via Control Barrier Functions and Zero Dynamics Policies.
L4DC
Ivan Dario Jimenez Rodriguez, Noel Csomay-Shanklin, Yisong Yue, Aaron D. Ames
2022 J jnl
Neural Gaits: Learning Bipedal Locomotion via Control Barrier Functions and Zero Dynamics Policies.
CoRR
Ivan Dario Jimenez Rodriguez, Noel Csomay-Shanklin, Yisong Yue, Aaron D. Ames
2022 J jnl
Neural-Fly Enables Rapid Learning for Agile Flight in Strong Winds.
CoRR
Michael O'Connell, Guanya Shi, Xichen Shi, Kamyar Azizzadenesheli, Anima Anandkumar, Yisong Yue, Soon-Jo Chung
2022 J jnl
Neural-Fly enables rapid learning for agile flight in strong winds.
Sci. Robotics
Michael O'Connell, Guanya Shi, Xichen Shi, Kamyar Azizzadenesheli, Anima Anandkumar, Yisong Yue, Soon-Jo Chung
2022 J jnl
Neural-Swarm2: Planning and Control of Heterogeneous Multirotor Swarms Using Learned Interactions.
IEEE Trans. Robotics
Guanya Shi, Wolfgang Hönig, Xichen Shi, Yisong Yue, Soon-Jo Chung
2022 J jnl
Neurosymbolic Programming for Science.
CoRR
Jennifer J. Sun, Megan Tjandrasuwita, Atharva Sehgal, Armando Solar-Lezama, Swarat Chaudhuri, Yisong Yue, Omar Costilla-Reyes
2022 J jnl
POLAR: Preference Optimization and Learning Algorithms for Robotics.
CoRR
Maegan Tucker, Kejun Li, Yisong Yue, Aaron D. Ames
2022 A* conf
Policy Optimization with Linear Temporal Logic Constraints.
NeurIPS
Cameron Voloshin, Hoang Minh Le, Swarat Chaudhuri, Yisong Yue
2022 J jnl
Policy Optimization with Linear Temporal Logic Constraints.
CoRR
Cameron Voloshin, Hoang Minh Le, Swarat Chaudhuri, Yisong Yue
2022 — conf
Safety of Sampled-Data Systems with Control Barrier Functions via Approximate Discrete Time Models.
CDC
Andrew J. Taylor, Victor D. Dorobantu, Ryan K. Cosner, Yisong Yue, Aaron D. Ames
2022 J jnl
Safety of Sampled-Data Systems with Control Barrier Functions via Approximate Discrete Time Models.
CoRR
Andrew J. Taylor, Victor D. Dorobantu, Ryan K. Cosner, Yisong Yue, Aaron D. Ames
2022 — conf
Safety-Aware Preference-Based Learning for Safety-Critical Control.
L4DC
Ryan K. Cosner, Maegan Tucker, Andrew J. Taylor, Kejun Li, Tamás G. Molnár, Wyatt Ubellacker, Anil Alan, Gábor Orosz, Yisong Yue, Aaron D. Ames
2022 J jnl
Sampled-Data Stabilization With Control Lyapunov Functions via Quadratically Constrained Quadratic Programs.
IEEE Control. Syst. Lett.
Andrew J. Taylor, Victor D. Dorobantu, Yisong Yue, Paulo Tabuada, Aaron D. Ames
2022 A* conf
Self-Supervised Keypoint Discovery in Behavioral Videos.
CVPR
Jennifer J. Sun, Serim Ryou, Roni H. Goldshmid, Brandon Weissbourd, John O. Dabiri, David J. Anderson, Ann Kennedy, Yisong Yue, Pietro Perona
2022 A* conf
Self-Supervised Online Learning for Safety-Critical Control using Stereo Vision.
ICRA
Ryan K. Cosner, Ivan D. Jimenez Rodriguez, Tamás G. Molnár, Wyatt Ubellacker, Yisong Yue, Aaron D. Ames, Katherine L. Bouman
2022 J jnl
Self-Supervised Online Learning for Safety-Critical Control using Stereo Vision.
CoRR
Ryan K. Cosner, Ivan D. Jimenez Rodriguez, Tamás G. Molnár, Wyatt Ubellacker, Yisong Yue, Aaron D. Ames, Katherine L. Bouman
2022 J jnl
The MABe22 Benchmarks for Representation Learning of Multi-Agent Behavior.
CoRR
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
2022 J jnl
Unsupervised Learning of Neurosymbolic Encoders.
Trans. Mach. Learn. Res.
Eric Zhan, Jennifer J. Sun, Ann Kennedy, Yisong Yue, Swarat Chaudhuri
2021 J jnl
A Control Barrier Perspective on Episodic Learning via Projection-to-State Safety.
IEEE Control. Syst. Lett.
Andrew J. Taylor, Andrew Singletary, Yisong Yue, Aaron D. Ames
2021 A conf
Active Learning under Label Shift.
AISTATS
Eric Zhao, Anqi Liu, Animashree Anandkumar, Yisong Yue
2021 J jnl
Automatic Synthesis of Diverse Weak Supervision Sources for Behavior Analysis.
CoRR
Albert Tseng, Jennifer J. Sun, Yisong Yue
2021 J jnl
Chance-Constrained Trajectory Optimization for Safe Exploration and Learning of Nonlinear Systems.
IEEE Robotics Autom. Lett.
Yashwanth Kumar Nakka, Anqi Liu, Guanya Shi, Anima Anandkumar, Yisong Yue, Soon-Jo Chung
2021 A conf
Competitive policy optimization.
UAI
Manish Prajapat, Kamyar Azizzadenesheli, Alexander Liniger, Yisong Yue, Anima Anandkumar
2021 J jnl
Computing the Information Content of Trained Neural Networks.
CoRR
Jeremy Bernstein, Yisong Yue
2021 A* conf
Deep Bayesian Quadrature Policy Optimization.
AAAI
Ravi Tej Akella, Kamyar Azizzadenesheli, Mohammad Ghavamzadeh, Animashree Anandkumar, Yisong Yue
2021 A* conf
DeepGEM: Generalized Expectation-Maximization for Blind Inversion.
NeurIPS
Angela F. Gao, Jorge C. Castellanos, Yisong Yue, Zachary E. Ross, Katherine L. Bouman
2021 J jnl
Disentangling Observed Causal Effects from Latent Confounders using Method of Moments.
CoRR
Anqi Liu, Hao Liu, Tongxin Li, Saeed Karimi-Bidhendi, Yisong Yue, Anima Anandkumar
2021 — conf
Empirical Study of Off-Policy Policy Evaluation for Reinforcement Learning.
NeurIPS Datasets and Benchmarks
Cameron Voloshin, Hoang Minh Le, Nan Jiang, Yisong Yue
2021 J jnl
End-to-End Sequential Sampling and Reconstruction for MR Imaging.
CoRR
Tianwei Yin, Zihui Wu, He Sun, Adrian V. Dalca, Yisong Yue, Katherine L. Bouman
2021 — conf
End-to-End Sequential Sampling and Reconstruction for MRI.
ML4H@NeurIPS
Tianwei Yin, Zihui Wu, He Sun, Adrian V. Dalca, Yisong Yue, Katherine L. Bouman
2021 A* conf
Fine-Grained System Identification of Nonlinear Neural Circuits.
KDD
Dawna Bagherian, James Gornet, Jeremy Bernstein, Yu-Li Ni, Yisong Yue, Markus Meister
2021 J jnl
Fine-Grained System Identification of Nonlinear Neural Circuits.
CoRR
Dawna Bagherian, James Gornet, Jeremy Bernstein, Yu-Li Ni, Yisong Yue, Markus Meister
2021 J jnl
Interpreting Expert Annotation Differences in Animal Behavior.
CoRR
Megan Tjandrasuwita, Jennifer J. Sun, Ann Kennedy, Swarat Chaudhuri, Yisong Yue
2021 A* conf
Iterative Amortized Policy Optimization.
NeurIPS
Joseph Marino, Alexandre Piché, Alessandro Davide Ialongo, Yisong Yue
2021 J jnl
Learning Invariant Representation of Tasks for Robust Surgical State Estimation.
CoRR
Yidan Qin, Max Allan, Yisong Yue, Joel W. Burdick, Mahdi Azizian
2021 J jnl
Learning Invariant Representation of Tasks for Robust Surgical State Estimation.
IEEE Robotics Autom. Lett.
Yidan Qin, Max Allan, Yisong Yue, Joel W. Burdick, Mahdi Azizian
2021 B conf
Learning Pseudo-Backdoors for Mixed Integer Programs.
SOCS
Aaron M. Ferber, Jialin Song, Bistra Dilkina, Yisong Yue
2021 J jnl
Learning Pseudo-Backdoors for Mixed Integer Programs.
CoRR
Aaron M. Ferber, Jialin Song, Bistra Dilkina, Yisong Yue
2021 J jnl
Learning Unstable Dynamics with One Minute of Data: A Differentiation-based Gaussian Process Approach.
CoRR
Ivan D. Jimenez Rodriguez, Ugo Rosolia, Aaron D. Ames, Yisong Yue
2021 A* conf
Learning by Turning: Neural Architecture Aware Optimisation.
ICML
Yang Liu, Jeremy Bernstein, Markus Meister, Yisong Yue
2021 J jnl
Learning by Turning: Neural Architecture Aware Optimisation.
CoRR
Yang Liu, Jeremy Bernstein, Markus Meister, Yisong Yue
2021 A conf
Learning to Control an Unstable System with One Minute of Data: Leveraging Gaussian Process Differentiation in Predictive Control.
IROS
Ivan D. Jimenez Rodriguez, Ugo Rosolia, Aaron D. Ames, Yisong Yue
2021 A* conf
Learning to Make Decisions via Submodular Regularization.
ICLR
Ayya Alieva, Aiden Aceves, Jialin Song, Stephen Mayo, Yisong Yue, Yuxin Chen
2021 A* conf
Meta-Adaptive Nonlinear Control: Theory and Algorithms.
NeurIPS
Guanya Shi, Kamyar Azizzadenesheli, Michael O'Connell, Soon-Jo Chung, Yisong Yue
2021 J jnl
Meta-Adaptive Nonlinear Control: Theory and Algorithms.
CoRR
Guanya Shi, Kamyar Azizzadenesheli, Soon-Jo Chung, Yisong Yue
2021 A conf
Minimax Model Learning.
AISTATS
Cameron Voloshin, Nan Jiang, Yisong Yue
2021 J jnl
Minimax Model Learning.
CoRR
Cameron Voloshin, Nan Jiang, Yisong Yue
2021 J jnl
Multilabel Classification Models for the Prediction of Cross-Coupling Reaction Conditions.
J. Chem. Inf. Model.
Michael R. Maser, Alexander Y. Cui, Serim Ryou, Travis J. DeLano, Yisong Yue, Sarah E. Reisman
2021 J jnl
Natural Multicontact Walking for Robotic Assistive Devices via Musculoskeletal Models and Hybrid Zero Dynamics.
CoRR
Kejun Li, Maegan Tucker, Rachel Gehlhar, Yisong Yue, Aaron D. Ames
2021 J jnl
Neurosymbolic Programming.
Found. Trends Program. Lang.
Swarat Chaudhuri, Kevin Ellis, Oleksandr Polozov, Rishabh Singh, Armando Solar-Lezama, Yisong Yue
2021 J jnl
On the Implicit Biases of Architecture & Gradient Descent.
CoRR
Jeremy Bernstein, Yisong Yue
2021 A conf
Online Robust Control of Nonlinear Systems with Large Uncertainty.
AISTATS
Dimitar Ho, Hoang Minh Le, John Doyle, Yisong Yue
2021 J jnl
Online Robust Control of Nonlinear Systems with Large Uncertainty.
CoRR
Dimitar Ho, Hoang M. Le, John C. Doyle, Yisong Yue
2021 A* conf
ROIAL: Region of Interest Active Learning for Characterizing Exoskeleton Gait Preference Landscapes.
ICRA
Kejun Li, Maegan Tucker, Erdem Biyik, Ellen R. Novoseller, Joel W. Burdick, Yanan Sui, Dorsa Sadigh, Yisong Yue, Aaron D. Ames
2021 J jnl
Safety-Aware Preference-Based Learning for Safety-Critical Control.
CoRR
Ryan K. Cosner, Maegan Tucker, Andrew J. Taylor, Kejun Li, Tamás G. Molnár, Wyatt Ubellacker, Anil Alan, Gábor Orosz, Yisong Yue, Aaron D. Ames
2021 J jnl
Sampled-Data Stabilization with Control Lyapunov Functions via Quadratically Constrained Quadratic Programs.
CoRR
Andrew J. Taylor, Victor D. Dorobantu, Yisong Yue, Paulo Tabuada, Aaron D. Ames
2021 J jnl
Self-Supervised Keypoint Discovery in Behavioral Videos.
CoRR
Jennifer J. Sun, Serim Ryou, Roni Goldshmid, Brandon Weissbourd, John O. Dabiri, David J. Anderson, Ann Kennedy, Yisong Yue, Pietro Perona
2021 A* conf
Task Programming: Learning Data Efficient Behavior Representations.
CVPR
Jennifer J. Sun, Ann Kennedy, Eric Zhan, David J. Anderson, Yisong Yue, Pietro Perona
2021 — conf
The Multi-Agent Behavior Dataset: Mouse Dyadic Social Interactions.
NeurIPS Datasets and Benchmarks
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
2021 J jnl
The Multi-Agent Behavior Dataset: Mouse Dyadic Social Interactions.
CoRR
Jennifer J. Sun, Tomomi Karigo, Dipam Chakraborty, Sharada P. Mohanty, David J. Anderson, Pietro Perona, Yisong Yue, Ann Kennedy
2021 — conf
Towards Robust Data-Driven Control Synthesis for Nonlinear Systems with Actuation Uncertainty.
CDC
Andrew J. Taylor, Victor D. Dorobantu, Sarah Dean, Benjamin Recht, Yisong Yue, Aaron D. Ames
2021 J jnl
Unsupervised Learning of Neurosymbolic Encoders.
CoRR
Eric Zhan, Jennifer J. Sun, Ann Kennedy, Yisong Yue, Swarat Chaudhuri
2020 J jnl
A Control Barrier Perspective on Episodic Learning via Projection-to-State Safety.
CoRR
Andrew J. Taylor, Andrew Singletary, Yisong Yue, Aaron D. Ames
2020 A* conf
A General Large Neighborhood Search Framework for Solving Integer Linear Programs.
NeurIPS
Jialin Song, Ravi Lanka, Yisong Yue, Bistra Dilkina
2020 J jnl
A General Large Neighborhood Search Framework for Solving Integer Programs.
CoRR
Jialin Song, Ravi Lanka, Yisong Yue, Bistra Dilkina
2020 J jnl
Active Learning under Label Shift.
CoRR
Eric Zhao, Anqi Liu, Animashree Anandkumar, Yisong Yue
2020 J jnl
Architecture Agnostic Neural Networks.
CoRR
Sabera Talukder, Guruprasad Raghavan, Yisong Yue
2020 J jnl
Average-case Complexity of Teaching Convex Polytopes via Halfspace Queries.
CoRR
Akash Kumar, Adish Singla, Yisong Yue, Yuxin Chen
2020 J jnl
Beyond No-Regret: Competitive Control via Online Optimization with Memory.
CoRR
Guanya Shi, Yiheng Lin, Soon-Jo Chung, Yisong Yue, Adam Wierman
2020 J jnl
Chance-Constrained Trajectory Optimization for Safe Exploration and Learning of Nonlinear Systems.
CoRR
Yashwanth Kumar Nakka, Anqi Liu, Guanya Shi, Anima Anandkumar, Yisong Yue, Soon-Jo Chung
2020 J jnl
Competitive Control with Delayed Imperfect Information.
CoRR
Chenkai Yu, Guanya Shi, Soon-Jo Chung, Yisong Yue, Adam Wierman
2020 J jnl
Competitive Policy Optimization.
CoRR
Manish Prajapat, Kamyar Azizzadenesheli, Alexander Liniger, Yisong Yue, Anima Anandkumar
2020 J jnl
Deep Bayesian Quadrature Policy Optimization.
CoRR
Ravi Tej Akella, Kamyar Azizzadenesheli, Mohammad Ghavamzadeh, Anima Anandkumar, Yisong Yue
2020 J jnl
Distributionally Robust Learning for Unsupervised Domain Adaptation.
CoRR
Haoxuan Wang, Anqi Liu, Zhiding Yu, Yisong Yue, Anima Anandkumar
2020 A conf
Dueling Posterior Sampling for Preference-Based Reinforcement Learning.
UAI
Ellen R. Novoseller, Yibing Wei, Yanan Sui, Yisong Yue, Joel Burdick
2020 J jnl
GLAS: Global-to-Local Safe Autonomy Synthesis for Multi-Robot Motion Planning With End-to-End Learning.
IEEE Robotics Autom. Lett.
Benjamin Rivière, Wolfgang Hönig, Yisong Yue, Soon-Jo Chung
2020 J jnl
GLAS: Global-to-Local Safe Autonomy Synthesis for Multi-Robot Motion Planning with End-to-End Learning.
CoRR
Benjamin Rivière, Wolfgang Hönig, Yisong Yue, Soon-Jo Chung
2020 J jnl
Graph Neural Networks for the Prediction of Substrate-Specific Organic Reaction Conditions.
CoRR
Serim Ryou, Michael R. Maser, Alexander Y. Cui, Travis J. DeLano, Yisong Yue, Sarah E. Reisman
2020 A conf
Human Preference-Based Learning for High-dimensional Optimization of Exoskeleton Walking Gaits.
IROS
Maegan Tucker, Myra Cheng, Ellen R. Novoseller, Richard Cheng, Yisong Yue, Joel W. Burdick, Aaron D. Ames
2020 J jnl
Human Preference-Based Learning for High-dimensional Optimization of Exoskeleton Walking Gaits.
CoRR
Maegan Tucker, Myra Cheng, Ellen R. Novoseller, Richard Cheng, Yisong Yue, Joel W. Burdick, Aaron D. Ames
2020 J jnl
Iterative Amortized Policy Optimization.
CoRR
Joseph Marino, Alexandre Piché, Alessandro Davide Ialongo, Yisong Yue
2020 A* conf
Learning Calibratable Policies using Programmatic Style-Consistency.
ICML
Eric Zhan, Albert Tseng, Yisong Yue, Adith Swaminathan, Matthew J. Hausknecht
2020 A* conf
Learning Differentiable Programs with Admissible Neural Heuristics.
NeurIPS
Ameesh Shah, Eric Zhan, Jennifer J. Sun, Abhinav Verma, Yisong Yue, Swarat Chaudhuri
2020 J jnl
Learning Differentiable Programs with Admissible Neural Heuristics.
CoRR
Ameesh Shah, Eric Zhan, Jennifer J. Sun, Abhinav Verma, Yisong Yue, Swarat Chaudhuri
2020 A* conf
Learning compositional functions via multiplicative weight updates.
NeurIPS
Jeremy Bernstein, Jiawei Zhao, Markus Meister, Ming-Yu Liu, Anima Anandkumar, Yisong Yue
2020 J jnl
Learning compositional functions via multiplicative weight updates.
CoRR
Jeremy Bernstein, Jiawei Zhao, Markus Meister, Ming-Yu Liu, Anima Anandkumar, Yisong Yue
2020 — conf
Learning for Safety-Critical Control with Control Barrier Functions.
L4DC
Andrew J. Taylor, Andrew Singletary, Yisong Yue, Aaron D. Ames
2020 J jnl
Machine Learning Based Path Planning for Improved Rover Navigation (Pre-Print Version).
CoRR
Neil Abcouwer, Shreyansh Daftry, Siddarth Venkatraman, Tyler del Sesto, Olivier Toupet, Ravi Lanka, Jialin Song, Yisong Yue, Masahiro Ono
2020 A* conf
Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis.
ICML
Jung Yeon Park, Kenneth Theo Carr, Stephan Zheng, Yisong Yue, Rose Yu
2020 J jnl
Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis.
CoRR
Jung Yeon Park, Kenneth Theo Carr, Stephan Zheng, Yisong Yue, Rose Yu
2020 J jnl
Neural-Swarm2: Planning and Control of Heterogeneous Multirotor Swarms using Learned Interactions.
CoRR
Guanya Shi, Wolfgang Hönig, Xichen Shi, Yisong Yue, Soon-Jo Chung
2020 A* conf
Neural-Swarm: Decentralized Close-Proximity Multirotor Control Using Learned Interactions.
ICRA
Guanya Shi, Wolfgang Hönig, Yisong Yue, Soon-Jo Chung
2020 J jnl
Neural-Swarm: Decentralized Close-Proximity Multirotor Control Using Learned Interactions.
CoRR
Guanya Shi, Wolfgang Hönig, Yisong Yue, Soon-Jo Chung
2020 J jnl
On the Benefits of Early Fusion in Multimodal Representation Learning.
CoRR
George Barnum, Sabera Talukder, Yisong Yue
2020 A* conf
On the distance between two neural networks and the stability of learning.
NeurIPS
Jeremy Bernstein, Arash Vahdat, Yisong Yue, Ming-Yu Liu
2020 J jnl
On the distance between two neural networks and the stability of learning.
CoRR
Jeremy Bernstein, Arash Vahdat, Yisong Yue, Ming-Yu Liu
2020 A* conf
Online Optimization with Memory and Competitive Control.
NeurIPS
Guanya Shi, Yiheng Lin, Soon-Jo Chung, Yisong Yue, Adam Wierman
2020 A* conf
Preference-Based Learning for Exoskeleton Gait Optimization.
ICRA
Maegan Tucker, Ellen R. Novoseller, Claudia Kann, Yanan Sui, Yisong Yue, Joel W. Burdick, Aaron D. Ames
2020 J jnl
ROIAL: Region of Interest Active Learning for Characterizing Exoskeleton Gait Preference Landscapes.
CoRR
Kejun Li, Maegan Tucker, Erdem Biyik, Ellen R. Novoseller, Joel W. Burdick, Yanan Sui, Dorsa Sadigh, Yisong Yue, Aaron D. Ames
2020 — conf
Robust Regression for Safe Exploration in Control.
L4DC
Anqi Liu, Guanya Shi, Soon-Jo Chung, Anima Anandkumar, Yisong Yue
2020 J jnl
Task Programming: Learning Data Efficient Behavior Representations.
CoRR
Jennifer J. Sun, Ann Kennedy, Eric Zhan, Yisong Yue, Pietro Perona
2020 A* conf
The Power of Predictions in Online Control.
NeurIPS
Chenkai Yu, Guanya Shi, Soon-Jo Chung, Yisong Yue, Adam Wierman
2020 J jnl
The Power of Predictions in Online Control.
CoRR
Chenkai Yu, Guanya Shi, Soon-Jo Chung, Yisong Yue, Adam Wierman
2020 J jnl
Towards Robust Data-Driven Control Synthesis for Nonlinear Systems with Actuation Uncertainty.
CoRR
Andrew J. Taylor, Victor D. Dorobantu, Sarah Dean, Benjamin Recht, Yisong Yue, Aaron D. Ames
2019 — conf
A Control Lyapunov Perspective on Episodic Learning via Projection to State Stability.
CDC
Andrew J. Taylor, Victor D. Dorobantu, Meera Krishnamoorthy, Hoang Minh Le, Yisong Yue, Aaron D. Ames
2019 J jnl
A Control Lyapunov Perspective on Episodic Learning via Projection to State Stability.
CoRR
Andrew J. Taylor, Victor D. Dorobantu, Meera Krishnamoorthy, Hoang Minh Le, Yisong Yue, Aaron D. Ames
2019 A conf
A General Framework for Multi-fidelity Bayesian Optimization with Gaussian Processes.
AISTATS
Jialin Song, Yuxin Chen, Yisong Yue
2019 C conf
An Encoder-Decoder Based Approach for Anomaly Detection with Application in Additive Manufacturing.
ICMLA
Yingshui Tan, Baihong Jin, Alexander J. Nettekoven, Yuxin Chen, Yisong Yue, Ufuk Topcu, Alberto L. Sangiovanni-Vincentelli
2019 J jnl
An Encoder-Decoder Based Approach for Anomaly Detection with Application in Additive Manufacturing.
CoRR
Baihong Jin, Yingshui Tan, Alexander J. Nettekoven, Yuxin Chen, Ufuk Topcu, Yisong Yue, Alberto L. Sangiovanni-Vincentelli
2019 C conf
Barrier Certificates for Assured Machine Teaching.
ACC
Mohamadreza Ahmadi, Bo Wu, Yuxin Chen, Yisong Yue, Ufuk Topcu
2019 A* conf
Batch Policy Learning under Constraints.
ICML
Hoang Minh Le, Cameron Voloshin, Yisong Yue
2019 J jnl
Batch Policy Learning under Constraints.
CoRR
Hoang Minh Le, Cameron Voloshin, Yisong Yue
2019 A conf
Batched Stochastic Bayesian Optimization via Combinatorial Constraints Design.
AISTATS
Kevin K. Yang, Yuxin Chen, Alycia Lee, Yisong Yue
2019 J jnl
Batched Stochastic Bayesian Optimization via Combinatorial Constraints Design.
CoRR
Kevin K. Yang, Yuxin Chen, Alycia Lee, Yisong Yue
2019 A conf
Co-training for Policy Learning.
UAI
Jialin Song, Ravi Lanka, Yisong Yue, Masahiro Ono
2019 J jnl
Co-training for Policy Learning.
CoRR
Jialin Song, Ravi Lanka, Yisong Yue, Masahiro Ono
2019 A* conf
Control Regularization for Reduced Variance Reinforcement Learning.
ICML
Richard Cheng, Abhinav Verma, Gábor Orosz, Swarat Chaudhuri, Yisong Yue, Joel Burdick
2019 J jnl
Control Regularization for Reduced Variance Reinforcement Learning.
CoRR
Richard Cheng, Abhinav Verma, Gábor Orosz, Swarat Chaudhuri, Yisong Yue, Joel W. Burdick
2019 J jnl
Dueling Posterior Sampling for Preference-Based Reinforcement Learning.
CoRR
Ellen R. Novoseller, Yanan Sui, Yisong Yue, Joel W. Burdick
2019 J jnl
Empirical Study of Off-Policy Policy Evaluation for Reinforcement Learning.
CoRR
Cameron Voloshin, Hoang Minh Le, Nan Jiang, Yisong Yue
2019 A conf
Episodic Learning with Control Lyapunov Functions for Uncertain Robotic Systems
IROS
Andrew J. Taylor, Victor D. Dorobantu, Hoang Minh Le, Yisong Yue, Aaron D. Ames
2019 J jnl
Episodic Learning with Control Lyapunov Functions for Uncertain Robotic Systems.
CoRR
Andrew J. Taylor, Victor D. Dorobantu, Hoang Minh Le, Yisong Yue, Aaron D. Ames
2019 — conf
Generating Multi-Agent Trajectories using Programmatic Weak Supervision.
ICLR (Poster)
Eric Zhan, Stephan Zheng, Yisong Yue, Long Sha, Patrick Lucey
2019 J jnl
Imitation-Projected Policy Gradient for Programmatic Reinforcement Learning.
CoRR
Abhinav Verma, Hoang Minh Le, Yisong Yue, Swarat Chaudhuri
2019 A* conf
Imitation-Projected Programmatic Reinforcement Learning.
NeurIPS
Abhinav Verma, Hoang Minh Le, Yisong Yue, Swarat Chaudhuri
2019 A* conf
Landmark Ordinal Embedding.
NeurIPS
Nikhil Ghosh, Yuxin Chen, Yisong Yue
2019 J jnl
Landmark Ordinal Embedding.
CoRR
Nikhil Ghosh, Yuxin Chen, Yisong Yue
2019 J jnl
Learning Calibratable Policies using Programmatic Style-Consistency.
CoRR
Eric Zhan, Albert Tseng, Yisong Yue, Adith Swaminathan, Matthew J. Hausknecht
2019 J jnl
Learning for Safety-Critical Control with Control Barrier Functions.
CoRR
Andrew J. Taylor, Andrew Singletary, Yisong Yue, Aaron D. Ames
2019 A* conf
NAOMI: Non-Autoregressive Multiresolution Sequence Imputation.
NeurIPS
Yukai Liu, Rose Yu, Stephan Zheng, Eric Zhan, Yisong Yue
2019 J jnl
NAOMI: Non-Autoregressive Multiresolution Sequence Imputation.
CoRR
Yukai Liu, Rose Yu, Stephan Zheng, Eric Zhan, Yisong Yue
2019 A* conf
Neural Lander: Stable Drone Landing Control Using Learned Dynamics.
ICRA
Guanya Shi, Xichen Shi, Michael O'Connell, Rose Yu, Kamyar Azizzadenesheli, Animashree Anandkumar, Yisong Yue, Soon-Jo Chung
2019 J jnl
Preference-Based Learning for Exoskeleton Gait Optimization.
CoRR
Maegan Tucker, Ellen R. Novoseller, Claudia Kann, Yanan Sui, Yisong Yue, Joel Burdick, Aaron D. Ames
2019 J jnl
Robust Regression for Safe Exploration in Control.
CoRR
Anqi Liu, Guanya Shi, Soon-Jo Chung, Anima Anandkumar, Yisong Yue
2019 A* conf
Teaching Multiple Concepts to a Forgetful Learner.
NeurIPS
Anette Hunziker, Yuxin Chen, Oisin Mac Aodha, Manuel Gomez Rodriguez, Andreas Krause, Pietro Perona, Yisong Yue, Adish Singla
2019 J jnl
Triply Robust Off-Policy Evaluation.
CoRR
Anqi Liu, Hao Liu, Anima Anandkumar, Yisong Yue
2018 J jnl
A General Framework for Multi-fidelity Bayesian Optimization with Gaussian Processes.
CoRR
Jialin Song, Yuxin Chen, Yisong Yue
2018 A* conf
A General Method for Amortizing Variational Filtering.
NeurIPS
Joseph Marino, Milan Cvitkovic, Yisong Yue
2018 J jnl
A General Method for Amortizing Variational Filtering.
CoRR
Joseph Marino, Milan Cvitkovic, Yisong Yue
2018 A* conf
Advancements in Dueling Bandits.
IJCAI
Yanan Sui, Masrour Zoghi, Katja Hofmann, Yisong Yue
2018 J jnl
Barrier Certificates for Assured Machine Teaching.
CoRR
Mohamadreza Ahmadi, Bo Wu, Yuxin Chen, Yisong Yue, Ufuk Topcu
2018 J jnl
Detecting Adversarial Examples via Neural Fingerprinting.
CoRR
Sumanth Dathathri, Stephan Zheng, Richard M. Murray, Yisong Yue
2018 J jnl
Generative Multi-Agent Behavioral Cloning.
CoRR
Eric Zhan, Stephan Zheng, Yisong Yue, Long Sha, Patrick Lucey
2018 A* conf
Hierarchical Imitation and Reinforcement Learning.
ICML
Hoang Minh Le, Nan Jiang, Alekh Agarwal, Miroslav Dudík, Yisong Yue, Hal Daumé III
2018 J jnl
Hierarchical Imitation and Reinforcement Learning.
CoRR
Hoang Minh Le, Nan Jiang, Alekh Agarwal, Miroslav Dudík, Yisong Yue, Hal Daumé III
2018 J jnl
Interactive Sports Analytics: An Intelligent Interface for Utilizing Trajectories for Interactive Sports Play Retrieval and Analytics.
ACM Trans. Comput. Hum. Interact.
Long Sha, Patrick Lucey, Yisong Yue, Xinyu Wei, Jennifer A. Hobbs, Charlie Rohlf, Sridha Sridharan
2018 A* conf
Iterative Amortized Inference.
ICML
Joseph Marino, Yisong Yue, Stephan Mandt
2018 J jnl
Iterative Amortized Inference.
CoRR
Joseph Marino, Yisong Yue, Stephan Mandt
2018 — conf
Learning to Infer.
ICLR (Workshop)
Joseph Marino, Yisong Yue, Stephan Mandt
2018 J jnl
Learning to Search via Self-Imitation.
CoRR
Jialin Song, Ravi Lanka, Albert Zhao, Yisong Yue, Masahiro Ono
2018 J jnl
Multi-resolution Tensor Learning for Large-Scale Spatial Data.
CoRR
Stephan Zheng, Rose Yu, Yisong Yue
2018 A conf
Near-Optimal Machine Teaching via Explanatory Teaching Sets.
AISTATS
Yuxin Chen, Oisin Mac Aodha, Shihan Su, Pietro Perona, Yisong Yue
2018 J jnl
Neural Lander: Stable Drone Landing Control using Learned Dynamics.
CoRR
Guanya Shi, Xichen Shi, Michael O'Connell, Rose Yu, Kamyar Azizzadenesheli, Animashree Anandkumar, Yisong Yue, Soon-Jo Chung
2018 J jnl
Optimizing Photonic Nanostructures via Multi-fidelity Gaussian Processes.
CoRR
Jialin Song, Yury S. Tokpanov, Yuxin Chen, Dagny Fleischman, Kate T. Fountaine, Harry A. Atwater, Yisong Yue
2018 J jnl
PhaseLink: A Deep Learning Approach to Seismic Phase Association.
CoRR
Zachary E. Ross, Yisong Yue, Men-Andrin Meier, Egill Hauksson, Thomas H. Heaton
2018 A* conf
Safe Exploration and Optimization of Constrained MDPs Using Gaussian Processes.
AAAI
Akifumi Wachi, Yanan Sui, Yisong Yue, Masahiro Ono
2018 A* conf
Stagewise Safe Bayesian Optimization with Gaussian Processes.
ICML
Yanan Sui, Vincent Zhuang, Joel W. Burdick, Yisong Yue
2018 J jnl
Stagewise Safe Bayesian Optimization with Gaussian Processes.
CoRR
Yanan Sui, Vincent Zhuang, Joel W. Burdick, Yisong Yue
2018 A* conf
Teaching Categories to Human Learners With Visual Explanations.
CVPR
Oisin Mac Aodha, Shihan Su, Yuxin Chen, Pietro Perona, Yisong Yue
2018 J jnl
Teaching Categories to Human Learners with Visual Explanations.
CoRR
Oisin Mac Aodha, Shihan Su, Yuxin Chen, Pietro Perona, Yisong Yue
2018 J jnl
Teaching Multiple Concepts to Forgetful Learners.
CoRR
Anette Hunziker, Yuxin Chen, Oisin Mac Aodha, Manuel Gomez-Rodriguez, Andreas Krause, Pietro Perona, Yisong Yue, Adish Singla
2018 A* conf
Understanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners.
NeurIPS
Yuxin Chen, Adish Singla, Oisin Mac Aodha, Pietro Perona, Yisong Yue
2018 J jnl
Understanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners.
CoRR
Yuxin Chen, Adish Singla, Oisin Mac Aodha, Pietro Perona, Yisong Yue
2017 J jnl
A deep learning approach for generalized speech animation.
ACM Trans. Graph.
Sarah L. Taylor, Taehwan Kim, Yisong Yue, Moshe Mahler, James Krahe, Anastasio Garcia Rodriguez, Jessica K. Hodgins, Iain A. Matthews
2017 A* conf
Coordinated Multi-Agent Imitation Learning.
ICML
Hoang Minh Le, Yisong Yue, Peter Carr, Patrick Lucey
2017 J jnl
Coordinated Multi-Agent Imitation Learning.
CoRR
Hoang Minh Le, Yisong Yue, Peter Carr
2017 J jnl
Correlational Dueling Bandits with Application to Clinical Treatment in Large Decision Spaces.
CoRR
Yanan Sui, Yisong Yue, Joel W. Burdick
2017 A* conf
Factorized Variational Autoencoders for Modeling Audience Reactions to Movies.
CVPR
Zhiwei Deng, Rajitha Navarathna, Peter Carr, Stephan Mandt, Yisong Yue, Iain A. Matthews, Greg Mori
2017 J jnl
Fine-Grained Retrieval of Sports Plays using Tree-Based Alignment of Trajectories.
CoRR
Long Sha, Patrick Lucey, Stephan Zheng, Taehwan Kim, Yisong Yue, Sridha Sridharan
2017 J jnl
Generating Long-term Trajectories Using Deep Hierarchical Networks.
CoRR
Stephan Zheng, Yisong Yue, Patrick Lucey
2017 — conf
Learning Recurrent Representations for Hierarchical Behavior Modeling.
ICLR (Poster)
Eyrun Eyjolfsdottir, Kristin Branson, Yisong Yue, Pietro Perona
2017 J jnl
Long-term Forecasting using Tensor-Train RNNs.
CoRR
Rose Yu, Stephan Zheng, Anima Anandkumar, Yisong Yue
2017 A conf
Multi-dueling Bandits with Dependent Arms.
UAI
Yanan Sui, Vincent Zhuang, Joel W. Burdick, Yisong Yue
2017 J jnl
Multi-dueling Bandits with Dependent Arms.
CoRR
Yanan Sui, Vincent Zhuang, Joel W. Burdick, Yisong Yue
2016 A* conf
A Rotation Invariant Latent Factor Model for Moveme Discovery from Static Poses.
ICDM
Matteo Ruggero Ronchi, Joon Sik Kim, Yisong Yue
2016 J jnl
A Rotation Invariant Latent Factor Model for Moveme Discovery from Static Poses.
CoRR
Matteo Ruggero Ronchi, Joon Sik Kim, Yisong Yue
2016 A conf
Chalkboarding: A New Spatiotemporal Query Paradigm for Sports Play Retrieval.
IUI
Long Sha, Patrick Lucey, Yisong Yue, Peter Carr, Charlie Rohlf, Iain A. Matthews
2016 — conf
Generating Long-term Trajectories Using Deep Hierarchical Networks.
NIPS
Stephan Zheng, Yisong Yue, Jennifer A. Hobbs
2016 A* conf
Learning Online Smooth Predictors for Realtime Camera Planning Using Recurrent Decision Trees.
CVPR
Jianhui Chen, Hoang Minh Le, Peter Carr, Yisong Yue, James J. Little
2016 J jnl
Learning recurrent representations for hierarchical behavior modeling.
CoRR
Eyrun Eyjolfsdottir, Kristin Branson, Yisong Yue, Pietro Perona
2016 Misc conf
Robust ambulance allocation using risk-based metrics.
COMSNETS
Kaushik Krishnan, Lavanya Marla, Yisong Yue
2016 A* conf
Smooth Imitation Learning for Online Sequence Prediction.
ICML
Hoang Minh Le, Andrew Kang, Yisong Yue, Peter Carr
2016 J jnl
Smooth Imitation Learning for Online Sequence Prediction.
CoRR
Hoang Minh Le, Andrew Kang, Yisong Yue, Peter Carr
2015 A* conf
A Decision Tree Framework for Spatiotemporal Sequence Prediction.
KDD
Taehwan Kim, Yisong Yue, Sarah L. Taylor, Iain A. Matthews
2015 J jnl
Non-Myopic Adaptive Route Planning in Uncertain Congestion Environments.
IEEE Trans. Knowl. Data Eng.
Siyuan Liu, Yisong Yue, Ramayya Krishnan
2015 — conf
Smooth Interactive Submodular Set Cover.
NIPS
Bryan D. He, Yisong Yue
2014 — conf
Identifying Team Style in Soccer Using Formations Learned from Spatiotemporal Tracking Data.
ICDM Workshops
Alina Bialkowski, Patrick Lucey, Peter Carr, Yisong Yue, Sridha Sridharan, Iain A. Matthews
2014 A* conf
Large-Scale Analysis of Soccer Matches Using Spatiotemporal Tracking Data.
ICDM
Alina Bialkowski, Patrick Lucey, Peter Carr, Yisong Yue, Sridha Sridharan, Iain A. Matthews
2014 A* conf
Learning Fine-Grained Spatial Models for Dynamic Sports Play Prediction.
ICDM
Yisong Yue, Patrick Lucey, Peter Carr, Alina Bialkowski, Iain A. Matthews
2014 A* conf
Personalized collaborative clustering.
WWW
Yisong Yue, Chong Wang, Khalid El-Arini, Carlos Guestrin
2013 A* conf
Adaptive collective routing using gaussian process dynamic congestion models.
KDD
Siyuan Liu, Yisong Yue, Ramayya Krishnan
2013 J jnl
Knapsack Constrained Contextual Submodular List Prediction with Application to Multi-document Summarization.
CoRR
Jiaji Zhou, Stéphane Ross, Yisong Yue, Debadeepta Dey, J. Andrew Bagnell
2013 J jnl
Learning Policies for Contextual Submodular Prediction
CoRR
Stéphane Ross, Jiaji Zhou, Yisong Yue, Debadeepta Dey, J. Andrew Bagnell
2013 — conf
Learning Policies for Contextual Submodular Prediction.
ICML (3)
Stéphane Ross, Jiaji Zhou, Yisong Yue, Debadeepta Dey, Drew Bagnell
2012 A* conf
An Efficient Simulation-Based Approach to Ambulance Fleet Allocation and Dynamic Redeployment.
AAAI
Yisong Yue, Lavanya Marla, Ramayya Krishnan
2012 A* conf
Hierarchical Exploration for Accelerating Contextual Bandits.
ICML
Yisong Yue, Sue Ann Hong, Carlos Guestrin
2012 J jnl
Large-scale validation and analysis of interleaved search evaluation.
ACM Trans. Inf. Syst.
Olivier Chapelle, Thorsten Joachims, Filip Radlinski, Yisong Yue
2012 J jnl
The K-armed dueling bandits problem.
J. Comput. Syst. Sci.
Yisong Yue, Josef Broder, Robert Kleinberg, Thorsten Joachims
2011 A* conf
Beat the Mean Bandit.
ICML
Yisong Yue, Thorsten Joachims
2011 A conf
Dynamic ranked retrieval.
WSDM
Christina Brandt, Thorsten Joachims, Yisong Yue, Jacob Bank
2011 — conf
Linear Submodular Bandits and their Application to Diversified Retrieval.
NIPS
Yisong Yue, Carlos Guestrin
2011 — —
New Learning Frameworks for Information Retrieval.
Yisong Yue
2011 A* conf
Practical online retrieval evaluation.
SIGIR
Filip Radlinski, Yisong Yue
2010 A* conf
Beyond position bias: examining result attractiveness as a source of presentation bias in clickthrough data.
WWW
Yisong Yue, Rajan Patel, Hein Roehrig
2010 A* conf
Learning more powerful test statistics for click-based retrieval evaluation.
SIGIR
Yisong Yue, Yue Gao, Olivier Chapelle, Ya Zhang, Thorsten Joachims
2010 A* conf
Multi-Level Structured Models for Document-Level Sentiment Classification.
EMNLP
Ainur Yessenalina, Yisong Yue, Claire Cardie
2009 A* conf
Interactively optimizing information retrieval systems as a dueling bandits problem.
ICML
Yisong Yue, Thorsten Joachims
2009 J jnl
Predicting structured objects with support vector machines.
Commun. ACM
Thorsten Joachims, Thomas Hofmann, Yisong Yue, Chun-Nam John Yu
2009 A* conf
The K-armed Dueling Bandits Problem.
COLT
Yisong Yue, Josef Broder, Robert Kleinberg, Thorsten Joachims
2008 A* conf
Predicting diverse subsets using structural SVMs.
ICML
Yisong Yue, Thorsten Joachims
2007 A* conf
A support vector method for optimizing average precision.
SIGIR
Yisong Yue, Thomas Finley, Filip Radlinski, Thorsten Joachims