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

Physics-informed neural networks for modeling rate- and temperature-dependent plasticity
Rajat Arora · Pratik Kakkar · Amit Chakraborty · Biswadip Dey

Workshop

A physics-informed search for metric solutions to Ricci flow, their embeddings, and visualisation
Aarjav Jain · Challenger Mishra · Pietro Lió

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

183 Results