Yu, Rose

71 publications

TMLR 2026 Symmetry in Neural Network Parameter Spaces Bo Zhao, Robin Walters, Rose Yu

TMLR 2026 VICON: Vision In-Context Operator Networks for Multi-Physics Fluid Dynamics Prediction Yadi Cao, Yuxuan Liu, Liu Yang, Rose Yu, Hayden Schaeffer, Stanley Osher

ICML 2025 Adapting While Learning: Grounding LLMs for Scientific Problems with Tool Usage Adaptation Bohan Lyu, Yadi Cao, Duncan Watson-Parris, Leon Bergen, Taylor Berg-Kirkpatrick, Rose Yu

FnTML 2025 Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems Xuan Zhang, Limei Wang, Jacob Helwig, Youzhi Luo, Cong Fu, Yaochen Xie, Meng Liu, Yuchao Lin, Zhao Xu, Keqiang Yan, Keir Adams, Maurice Weiler, Xiner Li, Tianfan Fu, Yucheng Wang, Alex Strasser, Haiyang Yu, Yuqing Xie, Xiang Fu, Shenglong Xu, Yi Liu, Yuanqi Du, Alexandra Saxton, Hongyi Ling, Hannah Lawrence, Hannes Stärk, Shurui Gui, Carl Edwards, Nicholas Gao, Adriana Ladera, Tailin Wu, Elyssa F. Hofgard, Aria Mansouri Tehrani, Rui Wang, Ameya Daigavane, Montgomery Bohde, Jerry Kurtin, Qian Huang, Tuong Phung, Minkai Xu, Chaitanya K. Joshi, Simon V. Mathis, Kamyar Azizzadenesheli, Ada Fang, Alán Aspuru-Guzik, Erik J. Bekkers, Michael M. Bronstein, Marinka Zitnik, Anima Anandkumar, Stefano Ermon, Pietro Liò, Rose Yu, Stephan Günnemann, Jure Leskovec, Heng Ji, Jimeng Sun, Regina Barzilay, Tommi S. Jaakkola, Connor W. Coley, Xiaoning Qian, Xiaofeng Qian, Tess E. Smidt, Shuiwang Ji

ICML 2025 AtlasD: Automatic Local Symmetry Discovery Manu Bhat, Jonghyun Park, Jianke Yang, Nima Dehmamy, Robin Walters, Rose Yu

L4DC 2025 BIGE : Biomechanics-Informed GenAI for Exercise Science Shubh Maheshwari, Anwesh Mohanty, Yadi Cao, Swithin Razu, Andrew McCulloch, Rose Yu

ICLR 2025 Can LLMs Understand Time Series Anomalies? Zihao Zhou, Rose Yu

JMLR 2025 ClimSim-Online: A Large Multi-Scale Dataset and Framework for Hybrid Physics-ML Climate Emulation Sungduk Yu, Zeyuan Hu, Akshay Subramaniam, Walter Hannah, Liran Peng, Jerry Lin, Mohamed Aziz Bhouri, Ritwik Gupta, Björn Lütjens, Justus C. Will, Gunnar Behrens, Julius J. M. Busecke, Nora Loose, Charles I Stern, Tom Beucler, Bryce Harrop, Helge Heuer, Benjamin R Hillman, Andrea Jenney, Nana Liu, Alistair White, Tian Zheng, Zhiming Kuang, Fiaz Ahmed, Elizabeth Barnes, Noah D. Brenowitz, Christopher Bretherton, Veronika Eyring, Savannah Ferretti, Nicholas Lutsko, Pierre Gentine, Stephan Mandt, J. David Neelin, Rose Yu, Laure Zanna, Nathan M. Urban, Janni Yuval, Ryan Abernathey, Pierre Baldi, Wayne Chuang, Yu Huang, Fernando Iglesias-Suarez, Sanket Jantre, Po-Lun Ma, Sara Shamekh, Guang Zhang, Michael Pritchard

ICLR 2025 ClimaQA: An Automated Evaluation Framework for Climate Question Answering Models Veeramakali Vignesh Manivannan, Yasaman Jafari, Srikar Eranky, Spencer Ho, Rose Yu, Duncan Watson-Parris, Yian Ma, Leon Bergen, Taylor Berg-Kirkpatrick

NeurIPS 2025 Conformal Prediction for Time-Series Forecasting with Change Points Sophia Huiwen Sun, Rose Yu

ICML 2025 Discovering Latent Causal Graphs from Spatiotemporal Data Kun Wang, Sumanth Varambally, Duncan Watson-Parris, Yian Ma, Rose Yu

NeurIPS 2025 Elucidated Rolling Diffusion Models for Probabilistic Forecasting of Complex Dynamics Salva Rühling Cachay, Miika Aittala, Karsten Kreis, Noah D Brenowitz, Arash Vahdat, Morteza Mardani, Rose Yu

LoG 2025 Faster Optimization on Sparse Graphs via Neural Reparametrization Csaba Both, Nima Dehmamy, Jianzhi Long, Rose Yu

ICLRW 2025 Improving Learning to Optimize Using Parameter Symmetries Guy Zamir, Aryan Dokania, Bo Zhao, Rose Yu

ICML 2025 MF-LAL: Drug Compound Generation Using Multi-Fidelity Latent Space Active Learning Peter Eckmann, Dongxia Wu, Germano Heinzelmann, Michael K Gilson, Rose Yu

ICML 2025 Understanding Mode Connectivity via Parameter Space Symmetry Bo Zhao, Nima Dehmamy, Robin Walters, Rose Yu

ICLR 2024 Copula Conformal Prediction for Multi-Step Time Series Prediction Sophia Huiwen Sun, Rose Yu

L4DC 2024 Data-Driven Simulator for Mechanical Circulatory Support with Domain Adversarial Neural Process Sophia Sun, Wenyuan Chen, Zihao Zhou, Sonia Fereidooni, Elise Jortberg, Rose Yu

NeurIPSW 2024 Diff-BBO: Diffusion-Based Inverse Modeling for Black-Box Optimization Dongxia Wu, Nikki Lijing Kuang, Ruijia Niu, Yian Ma, Rose Yu

ICML 2024 Discovering Mixtures of Structural Causal Models from Time Series Data Sumanth Varambally, Yian Ma, Rose Yu

NeurIPSW 2024 Emergence of Hierarchical Emotion Representations in Large Language Models Bo Zhao, Maya Okawa, Eric J Bigelow, Rose Yu, Tomer Ullman, Hidenori Tanaka

NeurIPSW 2024 Finding Symmetry in Neural Network Parameter Spaces Bo Zhao, Nima Dehmamy, Robin Walters, Rose Yu

NeurIPSW 2024 GLEAM-AI: Neural Surrogate for Accelerated Epidemic Analytics and Forecasting Mohammadmehdi Zahedi, Dongxia Wu, Jessica T. Davis, Yian Ma, Alessandro Vespignani, Rose Yu, Matteo Chinazzi

ICLR 2024 Improving Convergence and Generalization Using Parameter Symmetries Bo Zhao, Robert M. Gower, Robin Walters, Rose Yu

ICML 2024 Latent Space Symmetry Discovery Jianke Yang, Nima Dehmamy, Robin Walters, Rose Yu

AISTATS 2024 Learning Granger Causality from Instance-Wise Self-Attentive Hawkes Processes Dongxia Wu, Tsuyoshi Ide, Georgios Kollias, Jiri Navratil, Aurelie Lozano, Naoki Abe, Yian Ma, Rose Yu

NeurIPSW 2024 MF-LAL: Drug Compound Generation Using Multi-Fidelity Latent Space Active Learning Peter Eckmann, Dongxia Wu, Germano Heinzelmann, Michael K Gilson, Rose Yu

ICML 2024 Multi-Fidelity Residual Neural Processes for Scalable Surrogate Modeling Ruijia Niu, Dongxia Wu, Kai Kim, Yian Ma, Duncan Watson-Parris, Rose Yu

AISTATS 2024 On the Theoretical Expressive Power and the Design Space of Higher-Order Graph Transformers Cai Zhou, Rose Yu, Yusu Wang

NeurIPS 2024 Probablistic Emulation of a Global Climate Model with Spherical DYffusion Salva Rühling Cachay, Brian Henn, Oliver Watt-Meyer, Christopher S. Bretherton, Rose Yu

NeurIPS 2024 Symmetry-Informed Governing Equation Discovery Jianke Yang, Wang Rao, Nima Dehmamy, Robin Walters, Rose Yu

ICMLW 2024 The Efficacy of Pre-Training in Chemical Graph Out-of-Distribution Generalization Qi Liu, Rosa H. M. Chan, Rose Yu

NeurIPSW 2024 Uncovering Latent Causal Structures from Spatiotemporal Data Kun Wang, Sumanth Varambally, Duncan Watson-Parris, Yian Ma, Rose Yu

L4DC 2024 Understanding the Difficulty of Solving Cauchy Problems with PINNs Tao Wang, Bo Zhao, Sicun Gao, Rose Yu

L4DC 2023 Automatic Integration for Fast and Interpretable Neural Point Processes Zihao Zhou, Rose Yu

NeurIPS 2023 Automatic Integration for Spatiotemporal Neural Point Processes Zihao Zhou, Rose Yu

NeurIPS 2023 ClimSim: A Large Multi-Scale Dataset for Hybrid Physics-ML Climate Emulation Sungduk Yu, Walter Hannah, Liran Peng, Jerry Lin, Mohamed Aziz Bhouri, Ritwik Gupta, Björn Lütjens, Justus C. Will, Gunnar Behrens, Julius Busecke, Nora Loose, Charles Stern, Tom Beucler, Bryce Harrop, Benjamin Hillman, Andrea Jenney, Savannah L. Ferretti, Nana Liu, Animashree Anandkumar, Noah Brenowitz, Veronika Eyring, Nicholas Geneva, Pierre Gentine, Stephan Mandt, Jaideep Pathak, Akshay Subramaniam, Carl Vondrick, Rose Yu, Laure Zanna, Tian Zheng, Ryan Abernathey, Fiaz Ahmed, David Bader, Pierre Baldi, Elizabeth Barnes, Christopher Bretherton, Peter Caldwell, Wayne Chuang, Yilun Han, Yu Huang, Fernando Iglesias-Suarez, Sanket Jantre, Karthik Kashinath, Marat Khairoutdinov, Thorsten Kurth, Nicholas Lutsko, Po-Lun Ma, Griffin Mooers, J. David Neelin, David Randall, Sara Shamekh, Mark Taylor, Nathan Urban, Janni Yuval, Guang Zhang, Mike Pritchard

NeurIPS 2023 DYffusion: A Dynamics-Informed Diffusion Model for Spatiotemporal Forecasting Salva Rühling Cachay, Bo Zhao, Hailey Joren, Rose Yu

ICML 2023 Disentangled Multi-Fidelity Deep Bayesian Active Learning Dongxia Wu, Ruijia Niu, Matteo Chinazzi, Yian Ma, Rose Yu

ICML 2023 Generative Adversarial Symmetry Discovery Jianke Yang, Robin Walters, Nima Dehmamy, Rose Yu

NeurIPSW 2023 Improving Convergence and Generalization Using Parameter Symmetries Bo Zhao, Robert Gower, Robin Walters, Rose Yu

ICLR 2023 Koopman Neural Operator Forecaster for Time-Series with Temporal Distributional Shifts Rui Wang, Yihe Dong, Sercan O Arik, Rose Yu

ICMLW 2023 Latent Space Symmetry Discovery Jianke Yang, Nima Dehmamy, Robin Walters, Rose Yu

TMLR 2023 Long-Term Forecasting with TiDE: Time-Series Dense Encoder Abhimanyu Das, Weihao Kong, Andrew Leach, Shaan K Mathur, Rajat Sen, Rose Yu

ICML 2023 On the Connection Between MPNN and Graph Transformer Chen Cai, Truong Son Hy, Rose Yu, Yusu Wang

L4DC 2023 Probabilistic Symmetry for Multi-Agent Dynamics Sophia Huiwen Sun, Robin Walters, Jinxi Li, Rose Yu

ICLR 2023 Symmetries, Flat Minima, and the Conserved Quantities of Gradient Flow Bo Zhao, Iordan Ganev, Robin Walters, Rose Yu, Nima Dehmamy

NeurIPSW 2023 Understanding Mode Connectivity via Parameter Space Symmetry Bo Zhao, Nima Dehmamy, Robin Walters, Rose Yu

ICML 2022 Approximately Equivariant Networks for Imperfectly Symmetric Dynamics Rui Wang, Robin Walters, Rose Yu

NeurIPSW 2022 Charting Flat Minima Using the Conserved Quantities of Gradient Flow Bo Zhao, Iordan Ganev, Robin Walters, Rose Yu, Nima Dehmamy

ICML 2022 LIMO: Latent Inceptionism for Targeted Molecule Generation Peter Eckmann, Kunyang Sun, Bo Zhao, Mudong Feng, Michael Gilson, Rose Yu

NeurIPS 2022 Meta-Learning Dynamics Forecasting Using Task Inference Rui Wang, Robin Walters, Rose Yu

L4DC 2022 Neural Point Process for Learning Spatiotemporal Event Dynamics Zihao Zhou, Xingyi Yang, Ryan Rossi, Handong Zhao, Rose Yu

NeurIPSW 2022 Rethinking Neural Relational Inference for Granger Causal Discovery Stefanos Bennett, Rose Yu

NeurIPS 2022 Symmetry Teleportation for Accelerated Optimization Bo Zhao, Nima Dehmamy, Robin Walters, Rose Yu

NeurIPS 2021 Automatic Symmetry Discovery with Lie Algebra Convolutional Network Nima Dehmamy, Robin Walters, Yanchen Liu, Dashun Wang, Rose Yu

L4DC 2021 Bridging Physics-Based and Data-Driven Modeling for Learning Dynamical Systems Rui Wang, Danielle Maddix, Christos Faloutsos, Yuyang Wang, Rose Yu

ICLR 2021 Incorporating Symmetry into Deep Dynamics Models for Improved Generalization Rui Wang, Robin Walters, Rose Yu

L4DC 2021 Traffic Forecasting Using Vehicle-to-Vehicle Communication Steven Wong, Lejun Jiang, Robin Walters, Tamás G. Molnár, Gábor Orosz, Rose Yu

ICLR 2021 Trajectory Prediction Using Equivariant Continuous Convolution Robin Walters, Jinxi Li, Rose Yu

NeurIPS 2020 Deep Imitation Learning for Bimanual Robotic Manipulation Fan Xie, Alexander Chowdhury, M. Clara De Paolis Kaluza, Linfeng Zhao, Lawson Wong, Rose Yu

NeurIPSW 2020 Generator Surgery for Compressed Sensing Jung Yeon Park, Niklas Smedemark-Margulies, Mara Daniels, Rose Yu, Jan-Willem van de Meent, PAul HAnd

NeurIPS 2020 Learning Disentangled Representations of Videos with Missing Data Armand Comas, Chi Zhang, Zlatan Feric, Octavia Camps, Rose Yu

ICML 2020 Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis Jung Yeon Park, Kenneth Carr, Stephan Zheng, Yisong Yue, Rose Yu

NeurIPS 2019 NAOMI: Non-Autoregressive Multiresolution Sequence Imputation Yukai Liu, Rose Yu, Stephan Zheng, Eric Zhan, Yisong Yue

NeurIPS 2019 Understanding the Representation Power of Graph Neural Networks in Learning Graph Topology Nima Dehmamy, Albert-Laszlo Barabasi, Rose Yu

ICLR 2018 Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting Yaguang Li, Rose Yu, Cyrus Shahabi, Yan Liu

AISTATS 2018 Tensor Regression Meets Gaussian Processes Rose Yu, Max Guangyu Li, Yan Liu

ICML 2016 Learning from Multiway Data: Simple and Efficient Tensor Regression Rose Yu, Yan Liu

ICML 2015 Accelerated Online Low Rank Tensor Learning for Multivariate Spatiotemporal Streams Rose Yu, Dehua Cheng, Yan Liu