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Poster
Thu 14:00 Generic bounds on the approximation error for physics-informed (and) operator learning
Tim De Ryck · Siddhartha Mishra
Workshop
PIXEL: Physics-Informed Cell Representations for Fast and Accurate PDE Solvers
Namgyu Kang · Byeonghyeon Lee · Youngjoon Hong · Seok-Bae Yun · Eunbyung Park
Workshop
APPRAISE: ranking engineered proteins by target binding propensity using pair-wise, competitive structure modeling and physics-informed analysis
Xiaozhe Ding · Xinhong Chen · Erin Sullivan · Tim Miles · Viviana Gradinaru
Workshop
Physics-Informed Convolutional Neural Networks for Corruption Removal on Dynamical Systems
Daniel Kelshaw · Luca Magri
Workshop
Physics-Informed Machine Learning of Dynamical Systems for Efficient Bayesian Inference
Som Dhulipala · Yifeng Che · Michael Shields
Workshop
Transfer Learning with Physics-Informed Neural Networks for Efficient Simulation of Branched Flows
Raphael Pellegrin · Blake Bullwinkel · Marios Mattheakis · Pavlos Protopapas
Workshop
A Curriculum-Training-Based Strategy for Distributing Collocation Points during Physics-Informed Neural Network Training
Marcus Münzer · Christopher Bard
Workshop
Physics-informed inference of animal movements from weather radar data
Fiona Lippert · Patrick Forré
Workshop
Optimal Control of PDEs Using Physics-Informed Neural Networks
Saviz Mowlavi · Saleh Nabi
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
Certified data-driven physics-informed greedy auto-encoder simulator
Xiaolong He · Youngsoo Choi · William Fries · Jon Belof · Jiun-Shyan Chen
Workshop
First principles physics-informed neural network for quantum wavefunctions and eigenvalue surfaces
Marios Mattheakis · Gabriel R. Schleder · Daniel Larson · Efthimios Kaxiras