Jie Bu

发表

Rethinking the Importance of Sampling in Physics-informed Neural Networks

A. Karpatne, P. Perdikaris, Sifan Wang, 2022, ArXiv.

Augmenting machine learning algorithms with the addition of a physics based intelligence prior

Anuj Karpatne, Wei-Cheng Lee, Jie Bu, 2020 .

M ITIGATING P ROPAGATION F AILURES IN PINN S US - ING E VOLUTIONARY S AMPLING

A. Karpatne, P. Perdikaris, Sifan Wang, 2022 .

CoPhy-PGNN: Learning Physics-guided Neural Networks with Competing Loss Functions for Solving Eigenvalue Problems

Anuj Karpatne, Wei-Cheng Lee, Jie Bu, 2020, ACM Trans. Intell. Syst. Technol..

Robust multi-view subspace clustering based on consensus representation and orthogonal diversity

Jie Bu, Nan Zhao, 2022, Neural Networks.

Physics-Guided Deep Learning for Drag Force Prediction in Dense Fluid-Particulate Systems

Nikhil Muralidhar, Anuj Karpatne, Naren Ramakrishnan, 2020, Big Data.

PhyNet: Physics Guided Neural Networks for Particle Drag Force Prediction in Assembly

Nikhil Muralidhar, Anuj Karpatne, Danesh K. Tafti, 2020, SDM.

Physics-guided Design and Learning of Neural Networks for Predicting Drag Force on Particle Suspensions in Moving Fluids pdf

Nikhil Muralidhar, Anuj Karpatne, Long He, 2019, ArXiv.

Learning Physics-guided Neural Networks with Competing Physics Loss: A Summary of Results in Solving Eigenvalue Problems

Anuj Karpatne, Jie Bu, Mohannad Elhamod, 2021, AAAI Spring Symposium: MLPS.

Learning Neural Networks with Competing Physics Objectives: An Application in Quantum Mechanics pdf

Anuj Karpatne, Wei-Cheng Lee, Jie Bu, 2020, ArXiv.

Quadratic Residual Networks: A New Class of Neural Networks for Solving Forward and Inverse Problems in Physics Involving PDEs

Anuj Karpatne, Jie Bu, A. Karpatne, 2021, SDM.

Physics‐Informed Machine Learning for Optical Modes in Composites

A. Karpatne, V. Podolskiy, Jie Bu, 2021, Advanced Photonics Research.

Let There Be Order: Rethinking Ordering in Autoregressive Graph Generation

Kazi Sajeed Mehrab, A. Karpatne, Jie Bu, 2023, ArXiv.

Learning Compact Representations of Neural Networks using DiscriminAtive Masking (DAM)

Jie Bu, 2021 .

Learning Compact Representations of Neural Networks using DiscriminAtive Masking (DAM)

Jie Bu, 2021 .

Learning Compact Representations of Neural Networks using DiscriminAtive Masking (DAM) pdf

Anuj Karpatne, Jie Bu, Arka Daw, 2021, NeurIPS.

PhyFlow: Physics-Guided Deep Learning for Generating Interpretable 3D Flow Fields

A. Karpatne, Naren Ramakrishnan, D. Tafti, 2021, 2021 IEEE International Conference on Data Mining (ICDM).

Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) Sampling

A. Karpatne, P. Perdikaris, Sifan Wang, 2022, ICML.