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Workshop
Physics-Informed Machine Learning of Dynamical Systems for Efficient Bayesian Inference
Som Dhulipala · Yifeng Che · Michael Shields
Poster
Thu 14:00 Generic bounds on the approximation error for physics-informed (and) operator learning
Tim De Ryck · Siddhartha Mishra
Workshop
Transfer Learning with Physics-Informed Neural Networks for Efficient Simulation of Branched Flows
Raphael Pellegrin · Blake Bullwinkel · Marios Mattheakis · Pavlos Protopapas
Workshop
Physics-informed Bayesian Optimization of an Electron Microscope
Desheng Ma
Workshop
Deep-pretrained-FWI: combining supervised learning with physics-informed neural network
ANA PAULA MULLER · Clecio Roque Bom · Jessé Carvalho Costa · Elisângela Lopes Faria · Marcelo Portes de Albuquerque · Marcio Portes de Albuquerque
Workshop
Fourier Continuation for Exact Derivative Computation in Physics-Informed Neural Operators
Haydn Maust · Zongyi Li · Yixuan Wang · Anima Anandkumar
Poster
Wed 14:00 Meta-Auto-Decoder for Solving Parametric Partial Differential Equations
Xiang Huang · Zhanhong Ye · Hongsheng Liu · Shi Ji · Zidong Wang · Kang Yang · Yang Li · Min Wang · Haotian CHU · Fan Yu · Bei Hua · Lei Chen · Bin Dong
Workshop
A physics-informed search for metric solutions to Ricci flow, their embeddings, and visualisation
Aarjav Jain · Challenger Mishra · Pietro Lió
Workshop
Physics-informed neural networks for modeling rate- and temperature-dependent plasticity
Rajat Arora · Pratik Kakkar · Amit Chakraborty · Biswadip Dey
Poster
Tue 9:00 Accelerated Training of Physics-Informed Neural Networks (PINNs) using Meshless Discretizations
Ramansh Sharma · Varun Shankar
Poster
Thu 9:00 Physics-Informed Implicit Representations of Equilibrium Network Flows
Kevin D. Smith · Francesco Seccamonte · Ananthram Swami · Francesco Bullo
Workshop
Evaluating Error Bound for Physics-Informed Neural Networks on Linear Dynamical Systems
Shuheng Liu · Xiyue Huang · Pavlos Protopapas