Lu, Peter Y.

1. Training neural operators to preserve invariant measures of chaotic attractors
   2023/06/01 by Ruoxi Jiang, Peter Y. Lu, Jiang, Ruoxi +5 · 6 citations
   Computer Science · Physics and Astronomy · #Computational Physics and Python Applications #Neural Networks and Applications #Model Reduction and Neural Networks
2. Deep Learning and Symbolic Regression for Discovering Parametric Equations
   2022/07/01 by Michael Zhang, Zhang, Michael, Samuel Kim +5 · 4 citations
   Computer Science · Mathematics · Physics and Astronomy · #Computational Physics (physics.comp-ph) #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neural Networks and Applications #Statistics Education and Methodologies #Statistics and Probability (physics.data-an) #Symbolic Computation (cs.SC)
3. Model Stitching: Looking For Functional Similarity Between Representations
   2023/03/20 by Adriano Hernandez, Hernandez, Adriano, Rumen Dangovski +5 · 1 citation
   Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
4. Q-Flow: Generative Modeling for Differential Equations of Open Quantum Dynamics with Normalizing Flows
   2023/02/23 by Dugan, Owen, Lu, Peter Y., Dangovski, Rumen +2 · 1 citation
   #Computational Physics (physics.comp-ph) #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Quantum Gases (cond-mat.quant-gas) #Quantum Physics (quant-ph)