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Randomized Forward Mode of Automatic Differentiation For Optimization
  Algorithms

Randomized Forward Mode of Automatic Differentiation For Optimization Algorithms

22 October 2023
Khemraj Shukla
Yeonjong Shin
    ODL
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Papers citing "Randomized Forward Mode of Automatic Differentiation For Optimization Algorithms"

4 / 4 papers shown
Title
Randomized Forward Mode Gradient for Spiking Neural Networks in
  Scientific Machine Learning
Randomized Forward Mode Gradient for Spiking Neural Networks in Scientific Machine Learning
Ruyin Wan
Qian Zhang
George Karniadakis
23
0
0
11 Nov 2024
NeuroSEM: A hybrid framework for simulating multiphysics problems by
  coupling PINNs and spectral elements
NeuroSEM: A hybrid framework for simulating multiphysics problems by coupling PINNs and spectral elements
K. Shukla
Zongren Zou
Chi Hin Chan
Additi Pandey
Zhicheng Wang
George Karniadakis
PINN
47
7
0
30 Jul 2024
Separable Physics-informed Neural Networks for Solving the BGK Model of
  the Boltzmann Equation
Separable Physics-informed Neural Networks for Solving the BGK Model of the Boltzmann Equation
Jaemin Oh
Seung-Yeon Cho
Seok-Bae Yun
Eunbyung Park
Youngjoon Hong
AI4CE
43
5
0
10 Mar 2024
Parallel Physics-Informed Neural Networks via Domain Decomposition
Parallel Physics-Informed Neural Networks via Domain Decomposition
K. Shukla
Ameya Dilip Jagtap
George Karniadakis
PINN
101
274
0
20 Apr 2021
1