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Jialin Song

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Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning

Feb 24, 2024
Wuyang Chen, Jialin Song, Pu Ren, Shashank Subramanian, Dmitriy Morozov, Michael W. Mahoney

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Joint-Space Multi-Robot Motion Planning with Learned Decentralized Heuristics

Nov 21, 2023
Fengze Xie, Marcus Dominguez-Kuhne, Benjamin Riviere, Jialin Song, Wolfgang Hönig, Soon-Jo Chung, Yisong Yue

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Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation

Jul 25, 2023
Fengxue Zhang, Jialin Song, James Bowden, Alexander Ladd, Yisong Yue, Thomas A. Desautels, Yuxin Chen

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MLNav: Learning to Safely Navigate on Martian Terrains

Mar 09, 2022
Shreyansh Daftry, Neil Abcouwer, Tyler Del Sesto, Siddarth Venkatraman, Jialin Song, Lucas Igel, Amos Byon, Ugo Rosolia, Yisong Yue, Masahiro Ono

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Learning Pseudo-Backdoors for Mixed Integer Programs

Jun 09, 2021
Aaron Ferber, Jialin Song, Bistra Dilkina, Yisong Yue

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Machine Learning Based Path Planning for Improved Rover Navigation (Pre-Print Version)

Nov 11, 2020
Neil Abcouwer, Shreyansh Daftry, Siddarth Venkatraman, Tyler del Sesto, Olivier Toupet, Ravi Lanka, Jialin Song, Yisong Yue, Masahiro Ono

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A General Large Neighborhood Search Framework for Solving Integer Programs

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

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Co-training for Policy Learning

Jul 03, 2019
Jialin Song, Ravi Lanka, Yisong Yue, Masahiro Ono

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Optimizing Photonic Nanostructures via Multi-fidelity Gaussian Processes

Nov 15, 2018
Jialin Song, Yury S. Tokpanov, Yuxin Chen, Dagny Fleischman, Kate T. Fountaine, Harry A. Atwater, Yisong Yue

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A General Framework for Multi-fidelity Bayesian Optimization with Gaussian Processes

Nov 02, 2018
Jialin Song, Yuxin Chen, Yisong Yue

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