<h1>Yue, Yisong</h1> <h2>Monograph from <a href="https://authors.library.caltech.edu">CaltechAUTHORS</a></h2> <ul> <li>Israel, Uriah and Marks, Markus, el al. (2024) <a href="https://authors.library.caltech.edu/records/47sqx-33w78">A Foundation Model for Cell Segmentation</a>; bioRvix; 2023.11.17.567630; PMCID PMC10690226; <a href="https://doi.org/10.1101/2023.11.17.567630">10.1101/2023.11.17.567630</a></li> <li>Talukder, Sabera and Yue, Yisong, el al. (2024) <a href="https://authors.library.caltech.edu/records/stvvz-was45">TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis</a>; <a href="https://doi.org/10.48550/arxiv.2402.16412">10.48550/arxiv.2402.16412</a></li> <li>Voloshin, Cameron and Verma, Abhinav, el al. (2023) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20230316-204049328">Eventual Discounting Temporal Logic Counterfactual Experience Replay</a></li> <li>Sun, Jennifer J. and Karashchuk, Pierre, el al. (2022) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20221219-204745839">BKinD-3D: Self-Supervised 3D Keypoint Discovery from Multi-View Videos</a>; <a href="https://doi.org/10.48550/arXiv.2212.07401">10.48550/arXiv.2212.07401</a></li> <li>Huang, Yujia and Jimenez Rodriguez, Ivan Dario, el al. (2022) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20221219-234122405">FI-ODE: Certified and Robust Forward Invariance in Neural ODEs</a>; <a href="https://doi.org/10.48550/arXiv.2210.16940">10.48550/arXiv.2210.16940</a></li> <li>Sun, Jennifer J. and Tjandrasuwita, Megan, el al. (2022) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20221219-234119032">Neurosymbolic Programming for Science</a>; <a href="https://doi.org/10.48550/arXiv.2210.05050">10.48550/arXiv.2210.05050</a></li> <li>Tucker, Maegan and Li, Kejun, el al. (2022) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20221219-234115665">POLAR: Preference Optimization and Learning Algorithms for Robotics</a>; <a href="https://doi.org/10.48550/arXiv.2208.04404">10.48550/arXiv.2208.04404</a></li> <li>Sun, Jennifer J. and Ulmer, Andrew, el al. (2022) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20221219-234042044">The MABe22 Benchmarks for Representation Learning of Multi-Agent Behavior</a>; <a href="https://doi.org/10.48550/arXiv.2207.10553">10.48550/arXiv.2207.10553</a></li> <li>Dorobantu, Victor D. and Azizzadenesheli, Kamyar, el al. (2022) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20220714-212414777">Compactly Restrictable Metric Policy Optimization Problems</a>; <a href="https://doi.org/10.48550/arXiv.arXiv.2207.05850">10.48550/arXiv.arXiv.2207.05850</a></li> <li>Voloshin, Cameron and Le, Hoang M., el al. (2022) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20220714-212419626">Policy Optimization with Linear Temporal Logic Constraints</a>; <a href="https://doi.org/10.48550/arXiv.arXiv.2206.09546">10.48550/arXiv.arXiv.2206.09546</a></li> <li>Talukder, Sabera and Sun, Jennifer J., el al. (2022) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20220714-212423144">Deep Neural Imputation: A Framework for Recovering Incomplete Brain Recordings</a>; <a href="https://doi.org/10.48550/arXiv.arXiv.2206.08094">10.48550/arXiv.arXiv.2206.08094</a></li> <li>Taylor, Andrew J. and Dorobantu, Victor D., el al. (2022) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20220325-224027516">Safety of Sampled-Data Systems with Control Barrier Functions via Approximate Discrete Time Models</a>; <a href="https://doi.org/10.48550/arXiv.2203.11470">10.48550/arXiv.2203.11470</a></li> <li>Cosner, Ryan K. and Jimenez Rodriguez, Ivan D., el al. (2022) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20220325-220806703">Self-Supervised Online Learning for Safety-Critical Control using Stereo Vision</a>; <a href="https://doi.org/10.48550/arXiv.2203.01404">10.48550/arXiv.2203.01404</a></li> <li>Jimenez Rodriguez, Ivan Dario and Ames, Aaron D., el al. (2022) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20220224-200943137">LyaNet: A Lyapunov Framework for Training Neural ODEs</a>; <a href="https://doi.org/10.48550/arXiv.2202.02526">10.48550/arXiv.2202.02526</a></li> <li>Cosner, Ryan K. and Tucker, Maegan, el al. (2021) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20220224-200843937">Safety-Aware Preference-Based Learning for Safety-Critical Control</a>; <a href="https://doi.org/10.48550/arXiv.2112.08516">10.48550/arXiv.2112.08516</a></li> <li>Sun, Jennifer J. and Ryou, Serim, el al. (2021) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20220224-200833645">Self-Supervised Keypoint Discovery in Behavioral Videos</a>; <a href="https://doi.org/10.48550/arXiv.2112.05121">10.48550/arXiv.2112.05121</a></li> <li>Tseng, Albert and Sun, Jennifer J., el al. (2021) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20220224-200830238">Automatic Synthesis of Diverse Weak Supervision Sources for Behavior Analysis</a>; <a href="https://doi.org/10.48550/arXiv.2111.15186">10.48550/arXiv.2111.15186</a></li> <li>Bernstein, Jeremy and Farhang, Alex, el al. (2021) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20220224-200822492">Kernel Interpolation as a Bayes Point Machine</a>; <a href="https://doi.org/10.48550/arXiv.2110.04274">10.48550/arXiv.2110.04274</a></li> <li>Zhan, Eric and Sun, Jennifer J., el al. (2021) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20220224-200805115">Unsupervised Learning of Neurosymbolic Encoders</a>; <a href="https://doi.org/10.48550/arXiv.2107.13132">10.48550/arXiv.2107.13132</a></li> <li>Tjandrasuwita, Megan and Sun, Jennifer J., el al. (2021) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20220224-200758198">Interpreting Expert Annotation Differences in Animal Behavior</a>; <a href="https://doi.org/10.48550/arXiv.2106.06114">10.48550/arXiv.2106.06114</a></li> <li>Ferber, Aaron and Song, Jialin, el al. (2021) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20210719-210128990">Learning Pseudo-Backdoors for Mixed Integer Programs</a>; <a href="https://doi.org/10.48550/arXiv.2106.05080">10.48550/arXiv.2106.05080</a></li> <li>Yin, Tianwei and Wu, Zihui, el al. (2021) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20210604-142545306">End-to-End Sequential Sampling and Reconstruction for MR Imaging</a>; <a href="https://doi.org/10.48550/arXiv.2105.06460">10.48550/arXiv.2105.06460</a></li> <li>Sun, Jennifer J. and Karigo, Tomomi, el al. (2021) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20210510-093610124">The Multi-Agent Behavior Dataset: Mouse Dyadic Social Interactions</a>; <a href="https://doi.org/10.48550/arXiv.2104.02710">10.48550/arXiv.2104.02710</a></li> <li>Bernstein, Jeremy and Yue, Yisong (2021) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20210304-095340677">Computing the Information Content of Trained Neural Networks</a>; <a href="https://doi.org/10.48550/arXiv.2103.01045">10.48550/arXiv.2103.01045</a></li> <li>Liu, Anqi and Liu, Hao, el al. (2021) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20210225-132714927">Disentangling Observed Causal Effects from Latent Confounders using Method of Moments</a>; <a href="https://doi.org/10.48550/arXiv.2101.06614">10.48550/arXiv.2101.06614</a></li> <li>Barnum, George and Talukder, Sabera, el al. (2020) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20210119-161629149">On the Benefits of Early Fusion in Multimodal Representation Learning</a>; <a href="https://doi.org/10.48550/arXiv.2011.07191">10.48550/arXiv.2011.07191</a></li> <li>Talukder, Sabera and Raghavan, Guruprasad, el al. (2020) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20210119-161636048">Architecture Agnostic Neural Networks</a>; <a href="https://doi.org/10.48550/arXiv.2011.02712">10.48550/arXiv.2011.02712</a></li> <li>Yu, Chenkai and Shi, Guanya, el al. (2020) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20201110-082106076">Competitive Control with Delayed Imperfect Information</a>; <a href="https://doi.org/10.48550/arXiv.2010.11637">10.48550/arXiv.2010.11637</a></li> <li>Marino, Joseph and Piché, Alexandre, el al. (2020) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20201110-082336091">Iterative Amortized Policy Optimization</a>; <a href="https://doi.org/10.48550/arXiv.2010.10670">10.48550/arXiv.2010.10670</a></li> <li>Wang, Haoxuan and Liu, Anqi, el al. (2020) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20201106-120148344">Distributionally Robust Learning for Unsupervised Domain Adaptation</a>; <a href="https://doi.org/10.48550/arXiv.2010.05784">10.48550/arXiv.2010.05784</a></li> <li>Shah, Ameesh and Zhan, Eric, el al. (2020) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20201110-085241409">Learning Differentiable Programs with Admissible Neural Heuristics</a>; <a href="https://doi.org/10.48550/arXiv.2007.12101">10.48550/arXiv.2007.12101</a></li> <li>Ryou, Serim and Maser, Michael R., el al. (2020) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20201110-154207213">Graph Neural Networks for the Prediction of Substrate-Specific Organic Reaction Conditions</a>; <a href="https://doi.org/10.48550/arXiv.2007.04275">10.48550/arXiv.2007.04275</a></li> <li>Kumar, Akash and Singla, Adish, el al. (2020) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20201111-071759033">Average-case Complexity of Teaching Convex Polytopes via Halfspace Queries</a>; <a href="https://doi.org/10.48550/arXiv.2006.14677">10.48550/arXiv.2006.14677</a></li> <li>Prajapat, Manish and Azizzadenesheli, Kamyar, el al. (2020) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20201106-120215567">Competitive Policy Optimization</a>; <a href="https://doi.org/10.48550/arXiv.2006.10611">10.48550/arXiv.2006.10611</a></li> <li>Yu, Chenkai and Shi, Guanya, el al. (2020) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20200707-094715120">The Power of Predictions in Online Control</a>; <a href="https://doi.org/10.48550/arXiv.2006.07569">10.48550/arXiv.2006.07569</a></li> <li>Song, Jialin and Lanka, Ravi, el al. (2020) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20200526-151215262">A General Large Neighborhood Search Framework for Solving Integer Programs</a>; <a href="https://doi.org/10.48550/arXiv.2004.00422">10.48550/arXiv.2004.00422</a></li> <li>Park, Jung Yeon and Carr, Kenneth Theo, el al. (2020) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20200214-105610460">Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis</a>; <a href="https://doi.org/10.48550/arXiv.2002.05578">10.48550/arXiv.2002.05578</a></li> <li>Shi, Guanya and Lin, Yiheng, el al. (2020) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20200214-105606928">Online Optimization with Memory and Competitive Control</a>; <a href="https://doi.org/10.48550/arXiv.2002.05318">10.48550/arXiv.2002.05318</a></li> <li>Bernstein, Jeremy and Vahdat, Arash, el al. (2020) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20200214-105602886">On the distance between two neural networks and the stability of learning</a>; <a href="https://doi.org/10.48550/arXiv.2002.03432">10.48550/arXiv.2002.03432</a></li> <li>Voloshin, Cameron and Le, Hoang M., el al. (2019) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20200109-100747650">Empirical Study of Off-Policy Policy Evaluation for Reinforcement Learning</a>; <a href="https://doi.org/10.48550/arXiv.1911.06854">10.48550/arXiv.1911.06854</a></li> <li>Liu, Anqi and Liu, Hao, el al. (2019) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20200109-085907638">Triply Robust Off-Policy Evaluation</a>; <a href="https://doi.org/10.48550/arXiv.1911.05811">10.48550/arXiv.1911.05811</a></li> <li>Zhan, Eric and Tseng, Albert, el al. (2019) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20200109-101924329">Learning Calibratable Policies using Programmatic Style-Consistency</a>; <a href="https://doi.org/10.48550/arXiv.1910.01179">10.48550/arXiv.1910.01179</a></li> <li>Song, Jialin and Lanka, Ravi, el al. 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(2018) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20190205-111204454">Learning to Search via Retrospective Imitation</a>; <a href="https://doi.org/10.48550/arXiv.1804.00846">10.48550/arXiv.1804.00846</a></li> <li>Zhan, Eric and Zheng, Stephan, el al. (2018) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20190205-111434225">Generative Multi-Agent Behavioral Cloning</a>; <a href="https://doi.org/10.48550/arXiv.1803.07612">10.48550/arXiv.1803.07612</a></li> <li>Dathathri, Sumanth and Zheng, Stephan, el al. (2018) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20190205-112328842">Detecting Adversarial Examples via Neural Fingerprinting</a>; <a href="https://doi.org/10.48550/arXiv.1803.03870">10.48550/arXiv.1803.03870</a></li> <li>Zheng, Stephan and Yu, Rose, el al. 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