Lu, Peter Y.

10 publications

NeurIPS 2025 Hierarchical Implicit Neural Emulators Ruoxi Jiang, Xiao Zhang, Karan Jakhar, Peter Y. Lu, Pedram Hassanzadeh, Michael Maire, Rebecca Willett

ICML 2024 Deep Stochastic Mechanics Elena Orlova, Aleksei Ustimenko, Ruoxi Jiang, Peter Y. Lu, Rebecca Willett

ICML 2023 Q-Flow: Generative Modeling for Differential Equations of Open Quantum Dynamics with Normalizing Flows Owen M Dugan, Peter Y. Lu, Rumen Dangovski, Di Luo, Marin Soljacic

ICLRW 2023 Studying Phase Transitions in Contrastive Learning with Physics-Inspired Datasets Ali Cy, Anugrah Chemparathy, Michael Han, Rumen Dangovski, Peter Y. Lu, Marin Soljacic

NeurIPS 2023 Training Neural Operators to Preserve Invariant Measures of Chaotic Attractors Ruoxi Jiang, Peter Y. Lu, Elena Orlova, Rebecca Willett

ICMLW 2022 Deep Learning and Symbolic Regression for Discovering Parametric Equations Samuel Kim, Michael Zhang, Peter Y Lu, Marin Soljacic

TMLR 2022 Deep Learning for Bayesian Optimization of Scientific Problems with High-Dimensional Structure Samuel Kim, Peter Y Lu, Charlotte Loh, Jamie Smith, Jasper Snoek, Marin Soljacic

NeurIPSW 2022 Model Stitching: Looking for Functional Similarity Between Representations Adriano Hernandez, Rumen Dangovski, Peter Y. Lu

NeurIPSW 2022 Model Stitching: Looking for Functional Similarity Between Representations Adriano Hernandez, Rumen Dangovski, Peter Y. Lu, Marin Soljacic

NeurIPSW 2021 Discovering Dynamical Parameters by Interpreting Echo State Networks Oreoluwa Alao, Peter Y Lu, Marin Soljacic