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Jie Bu
ORCID
Publication Activity (10 Years)
Years Active: 2019-2023
Publications (10 Years): 17
Top Topics
Eigenvalue Problems
Neural Network
Saliency Map
Quantum Mechanics
Top Venues
CoRR
SDM
ICDM
ICML
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Publications
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Arka Daw
,
Jie Bu
,
Sifan Wang
,
Paris Perdikaris
,
Anuj Karpatne
Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) Sampling.
ICML
(2023)
M. Maruf
,
Arka Daw
,
Amartya Dutta
,
Jie Bu
,
Anuj Karpatne
Beyond Discriminative Regions: Saliency Maps as Alternatives to CAMs for Weakly Supervised Semantic Segmentation.
CoRR
(2023)
Jie Bu
,
Kazi Sajeed Mehrab
,
Anuj Karpatne
Let There Be Order: Rethinking Ordering in Autoregressive Graph Generation.
CoRR
(2023)
Arka Daw
,
Jie Bu
,
Sifan Wang
,
Paris Perdikaris
,
Anuj Karpatne
Rethinking the Importance of Sampling in Physics-informed Neural Networks.
CoRR
(2022)
Mohannad Elhamod
,
Jie Bu
,
Christopher Singh
,
Matthew Redell
,
Abantika Ghosh
,
Viktor Podolskiy
,
Wei-Cheng Lee
,
Anuj Karpatne
-PGNN: Learning Physics-guided Neural Networks with Competing Loss Functions for Solving Eigenvalue Problems.
ACM Trans. Intell. Syst. Technol.
13 (6) (2022)
Nan Zhao
,
Jie Bu
Robust multi-view subspace clustering based on consensus representation and orthogonal diversity.
Neural Networks
150 (2022)
Mohannad Elhamod
,
Jie Bu
,
Christopher Singh
,
Matthew Redell
,
Abantika Ghosh
,
Viktor Podolskiy
,
Wei-Cheng Lee
,
Anuj Karpatne
Learning Physics-guided Neural Networks with Competing Physics Loss: A Summary of Results in Solving Eigenvalue Problems.
AAAI Spring Symposium: MLPS
(2021)
Nikhil Muralidhar
,
Jie Bu
,
Ze Cao
,
Neil Raj
,
Naren Ramakrishnan
,
Danesh K. Tafti
,
Anuj Karpatne
PhyFlow: Physics-Guided Deep Learning for Generating Interpretable 3D Flow Fields.
ICDM
(2021)
Jie Bu
,
Arka Daw
,
M. Maruf
,
Anuj Karpatne
Learning Compact Representations of Neural Networks using DiscriminAtive Masking (DAM).
CoRR
(2021)
Jie Bu
,
Arka Daw
,
M. Maruf
,
Anuj Karpatne
Learning Compact Representations of Neural Networks using DiscriminAtive Masking (DAM).
NeurIPS
(2021)
Jie Bu
,
Anuj Karpatne
Quadratic Residual Networks: A New Class of Neural Networks for Solving Forward and Inverse Problems in Physics Involving PDEs.
SDM
(2021)
Jie Bu
,
Anuj Karpatne
Quadratic Residual Networks: A New Class of Neural Networks for Solving Forward and Inverse Problems in Physics Involving PDEs.
CoRR
(2021)
Nikhil Muralidhar
,
Jie Bu
,
Ze Cao
,
Long He
,
Naren Ramakrishnan
,
Danesh K. Tafti
,
Anuj Karpatne
Physics-Guided Deep Learning for Drag Force Prediction in Dense Fluid-Particulate Systems.
Big Data
8 (5) (2020)
Jie Bu
,
Mohannad Elhamod
,
Christopher Singh
,
Matthew Redell
,
Wei-Cheng Lee
,
Anuj Karpatne
Learning Neural Networks with Competing Physics Objectives: An Application in Quantum Mechanics.
CoRR
(2020)
Nikhil Muralidhar
,
Jie Bu
,
Ze Cao
,
Long He
,
Naren Ramakrishnan
,
Danesh K. Tafti
,
Anuj Karpatne
PhyNet: Physics Guided Neural Networks for Particle Drag Force Prediction in Assembly.
SDM
(2020)
Jie Bu
,
M. Maruf
,
Arka Daw
Beyond Observed Connections : Link Injection.
CoRR
(2020)
Nikhil Muralidhar
,
Jie Bu
,
Ze Cao
,
Long He
,
Naren Ramakrishnan
,
Danesh K. Tafti
,
Anuj Karpatne
Physics-guided Design and Learning of Neural Networks for Predicting Drag Force on Particle Suspensions in Moving Fluids.
CoRR
(2019)