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Compactly Restrictable Metric Policy Optimization Problems.
Victor D. Dorobantu, Kamyar Azizzadenesheli, Yisong Yue: Compactly Restrictable Metric Policy Optimization Problems. CoRR abs/2207.05850 (2022)
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Policy Optimization with Linear Temporal Logic Constraints.
Cameron Voloshin, Hoang Minh Le, Swarat Chaudhuri, Yisong Yue: Policy Optimization with Linear Temporal Logic Constraints. CoRR abs/2206.09546 (2022)
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Deep Neural Imputation: A Framework for Recovering Incomplete Brain Recordings.
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)
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Neural-Fly Enables Rapid Learning for Agile Flight in Strong Winds.
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...
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Investigating Generalization by Controlling Normalized Margin.
Alexander R. Farhang, Jeremy Bernstein, Kushal Tirumala, Yang Liu, Yisong Yue: Investigating Generalization by Controlling Normalized Margin. CoRR abs/2205.03940 (2022)
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Neural Gaits: Learning Bipedal Locomotion via Control Barrier Functions and...
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...
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Safety of Sampled-Data Systems with Control Barrier Functions via Approximate...
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...
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MLNav: Learning to Safely Navigate on Martian Terrains.
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...
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Self-Supervised Online Learning for Safety-Critical Control using Stereo Vision.
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...
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LyaNet: A Lyapunov Framework for Training Neural ODEs.
Ivan Dario Jimenez Rodriguez, Aaron D. Ames, Yisong Yue: LyaNet: A Lyapunov Framework for Training Neural ODEs. CoRR abs/2202.02526 (2022)
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Policy Optimization with Linear Temporal Logic Constraints.
Cameron Voloshin, Hoang Minh Le, Swarat Chaudhuri, Yisong Yue: Policy Optimization with Linear Temporal Logic Constraints. NeurIPS 2022
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Neural Gaits: Learning Bipedal Locomotion via Control Barrier Functions and...
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
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Safety-Aware Preference-Based Learning for Safety-Critical Control.
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...
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Self-Supervised Online Learning for Safety-Critical Control using Stereo Vision.
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...
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LyaNet: A Lyapunov Framework for Training Neural ODEs.
Ivan Dario Jimenez Rodriguez, Aaron D. Ames, Yisong Yue: LyaNet: A Lyapunov Framework for Training Neural ODEs. ICML 2022: 18687-18703
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Investigating Generalization by Controlling Normalized Margin.
Alexander R. Farhang, Jeremy D. Bernstein, Kushal Tirumala, Yang Liu, Yisong Yue: Investigating Generalization by Controlling Normalized Margin. ICML 2022: 6324-6336
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Automatic Synthesis of Diverse Weak Supervision Sources for Behavior Analysis.
Albert Tseng, Jennifer J. Sun, Yisong Yue: Automatic Synthesis of Diverse Weak Supervision Sources for Behavior Analysis. CVPR 2022: 2201-2210
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Self-Supervised Keypoint Discovery in Behavioral Videos.
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....
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Learning Pseudo-Backdoors for Mixed Integer Programs.
Aaron M. Ferber, Jialin Song, Bistra Dilkina, Yisong Yue: Learning Pseudo-Backdoors for Mixed Integer Programs. CPAIOR 2022: 91-102
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Safety of Sampled-Data Systems with Control Barrier Functions via Approximate...
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: 7127-7134
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End-to-End Imitation Learning with Safety Guarantees using Control Barrier...
Ryan K. Cosner, Yisong Yue, Aaron D. Ames: End-to-End Imitation Learning with Safety Guarantees using Control Barrier Functions. CDC 2022: 5316-5322
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Competitive Control with Delayed Imperfect Information.
Chenkai Yu, Guanya Shi, Soon-Jo Chung, Yisong Yue, Adam Wierman: Competitive Control with Delayed Imperfect Information. ACC 2022: 2604-2610
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Neural-Swarm2: Planning and Control of Heterogeneous Multirotor Swarms Using...
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):...
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Unsupervised Learning of Neurosymbolic Encoders.
Eric Zhan, Jennifer J. Sun, Ann Kennedy, Yisong Yue, Swarat Chaudhuri: Unsupervised Learning of Neurosymbolic Encoders. Trans. Mach. Learn. Res. 2022 (2022)
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Neural-Fly enables rapid learning for agile flight in strong winds.
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)...
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MLNav: Learning to Safely Navigate on Martian Terrains.
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...
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Natural Multicontact Walking for Robotic Assistive Devices via...
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....
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Sampled-Data Stabilization With Control Lyapunov Functions via Quadratically...
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...
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Joint-Space Multi-Robot Motion Planning with Learned Decentralized Heuristics.
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...
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Hierarchical Meta-learning-based Adaptive Controller.
Fengze Xie, Guanya Shi, Michael O'Connell, Yisong Yue, Soon-Jo Chung: Hierarchical Meta-learning-based Adaptive Controller. CoRR abs/2311.12367 (2023)
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Learning Regions of Interest for Bayesian Optimization with Adaptive...
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...
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Automatic Gradient Descent: Deep Learning without Hyperparameters.
Jeremy Bernstein, Chris Mingard, Kevin Huang, Navid Azizan, Yisong Yue: Automatic Gradient Descent: Deep Learning without Hyperparameters. CoRR abs/2304.05187 (2023)
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Conformal Generative Modeling on Triangulated Surfaces.
Victor D. Dorobantu, Charlotte Borcherds, Yisong Yue: Conformal Generative Modeling on Triangulated Surfaces. CoRR abs/2303.10251 (2023)
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Eventual Discounting Temporal Logic Counterfactual Experience Replay.
Cameron Voloshin, Abhinav Verma, Yisong Yue: Eventual Discounting Temporal Logic Counterfactual Experience Replay. CoRR abs/2303.02135 (2023)
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Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust...
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: 1460-1469
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Learning Regions of Interest for Bayesian Optimization with Adaptive...
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...
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Eventual Discounting Temporal Logic Counterfactual Experience Replay.
Cameron Voloshin, Abhinav Verma, Yisong Yue: Eventual Discounting Temporal Logic Counterfactual Experience Replay. ICML 2023: 35137-35150
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MABe22: A Multi-Species Multi-Task Benchmark for Learned Representations of...
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....
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BKinD-3D: Self-Supervised 3D Keypoint Discovery from Multi-View Videos.
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:...
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The Mixed-Observable Constrained Linear Quadratic Regulator Problem: The...
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....
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Compactly Restrictable Metric Policy Optimization Problems.
Victor D. Dorobantu, Kamyar Azizzadenesheli, Yisong Yue: Compactly Restrictable Metric Policy Optimization Problems. IEEE Trans. Autom. Control. 68(5): 3115-3122 (2023)
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Distributionally Robust Policy Evaluation under General Covariate Shift in...
Yihong Guo, Hao Liu, Yisong Yue, Anqi Liu: Distributionally Robust Policy Evaluation under General Covariate Shift in Contextual Bandits. CoRR abs/2401.11353 (2024)
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SciGLM: Training Scientific Language Models with Self-Reflective Instruction...
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...
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SustainGym: Reinforcement Learning Environments for Sustainable Energy Systems.
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:...
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Online Adaptive Policy Selection in Time-Varying Systems: No-Regret via...
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
View ArticleSceneCraft: An LLM Agent for Synthesizing 3D Scene as Blender Code.
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 abs/2403.01248 (2024)
View ArticleGeneralizability Under Sensor Failure: Tokenization + Transformers Enable...
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...
View ArticleTOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis.
Sabera Talukder, Yisong Yue, Georgia Gkioxari: TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis. CoRR abs/2402.16412 (2024)
View ArticleSymbolic Music Generation with Non-Differentiable Rule Guided Diffusion.
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...
View ArticleData-Driven Predictive Control for Robust Exoskeleton Locomotion.
Kejun Li, Jeeseop Kim, Xiaobin Xiong, Kaveh Akbari Hamed, Yisong Yue, Aaron D. Ames: Data-Driven Predictive Control for Robust Exoskeleton Locomotion. CoRR abs/2403.15658 (2024)
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