Publications

Publications in reverse chronological order.

2023

  1. Training neural operators to preserve invariant measures of chaotic attractors
    Thirty-seventh Conference on Neural Information Processing Systems (2023)
  2. Deep Stochastic Mechanics
    (2023)
  3. Deep Learning and Symbolic Regression for Discovering Parametric Equations
    Michael Zhang, Samuel Kim, Peter Y. Lu, and Marin Soljačić
    IEEE Transactions on Neural Networks and Learning Systems (2023)
  4. Discovering conservation laws using optimal transport and manifold learning
    Peter Y. Lu, Rumen Dangovski, and Marin Soljačić
    Nature Communications (2023)
  5. Q-Flow: Generative Modeling for Differential Equations of Open Quantum Dynamics with Normalizing Flows
    Proceedings of the 40th International Conference on Machine Learning (2023)

2022

  1. Model Stitching: Looking For Functional Similarity Between Representations
    Adriano Hernandez, Rumen Dangovski, Peter Y. Lu, and Marin Soljačić
    SVRHM 2022 Workshop @ NeurIPS (2022)
  2. Deep Learning for Bayesian Optimization of Scientific Problems with High-Dimensional Structure
    Transactions of Machine Learning Research (2022)
  3. Discovering sparse interpretable dynamics from partial observations
    Peter Y. Lu, Joan Ariño Bernad, and Marin Soljačić
    Communications Physics (2022)

2021

  1. Discovering Dynamical Parameters by Interpreting Echo State Networks
    Oreoluwa Alao*, Peter Y. Lu*, and Marin Soljačić
    NeurIPS 2021 AI for Science Workshop (2021) — Best Paper Award
  2. Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery
    Samuel Kim, Peter Y. Lu, Srijon Mukherjee, Michael Gilbert, Li Jing, Vladimir Čeperić, and Marin Soljačić
    IEEE Transactions on Neural Networks and Learning Systems (2021)

2020

  1. Extracting Interpretable Physical Parameters from Spatiotemporal Systems Using Unsupervised Learning
    Peter Y. Lu, Samuel Kim, and Marin Soljačić
    Physical Review X (2020)

2016

  1. Extraordinary optical transmission inside a waveguide: spatial mode dependence
    Kimberly S. Reichel, Peter Y. Lu, Sterling Backus, Rajind Mendis, and Daniel M. Mittleman
    Optics Express (2016)

2013

  1. Collision dynamics of particle clusters in a two-dimensional granular gas
    Justin C. Burton, Peter Y. Lu, and Sidney R. Nagel
    Physical Review E (2013)
  2. Energy Loss at Propagating Jamming Fronts in Granular Gas Clusters
    Justin C. Burton, Peter Y. Lu, and Sidney R. Nagel
    Physical Review Letters (2013)