Scaling physics-informed hard constraints with mixture-of-experts

Scaling physics-informed hard constraints with mixture-of-experts

20 February 2024

Aditi Krishnapriyan

Papers citing "Scaling physics-informed hard constraints with mixture-of-experts"

10 / 10 papers shown

Title
Solving Token Gradient Conflict in Mixture-of-Experts for Large Vision-Language Model Longrong Yang Dong Shen Chaoxiang Cai Fan Yang Size Li Di Zhang Xi Li MoE 37 2 0 28 Jun 2024
Robust Biharmonic Skinning Using Geometric Fields Ana Dodik Vincent Sitzmann Justin Solomon Oded Stein 3DH 42 2 0 01 Jun 2024
Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling Wanghan Xu Fenghua Ling Wenlong Zhang Tao Han Hao Chen Wanli Ouyang Lei Bai AI4CE 21 3 0 22 May 2024
Learning Neural Constitutive Laws From Motion Observations for Generalizable PDE Dynamics Pingchuan Ma Peter Yichen Chen B. Deng J. Tenenbaum Tao Du Chuang Gan Wojciech Matusik PINN AI4CE 74 15 0 27 Apr 2023
Neural Conservation Laws: A Divergence-Free Perspective Jack Richter-Powell Y. Lipman Ricky T. Q. Chen 21 48 0 04 Oct 2022
Differentiable Physics: A Position Piece Bharath Ramsundar Dilip Krishnamurthy V. Viswanathan PINN AI4CE 30 8 0 14 Sep 2021
Physics-informed neural networks with hard constraints for inverse design Lu Lu R. Pestourie Wenjie Yao Zhicheng Wang F. Verdugo Steven G. Johnson PINN 39 365 0 09 Feb 2021
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 197 2,254 0 18 Oct 2020
Input Convex Neural Networks Brandon Amos Lei Xu J. Zico Kolter 163 496 0 22 Sep 2016
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 273 2,696 0 15 Sep 2016