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Workshop
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Physics-Informed Machine Learning of Dynamical Systems for Efficient Bayesian Inference
Som Dhulipala · Yifeng Che · Michael Shields
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Poster
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Thu 14:00
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Generic bounds on the approximation error for physics-informed (and) operator learning
Tim De Ryck · Siddhartha Mishra
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Workshop
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Transfer Learning with Physics-Informed Neural Networks for Efficient Simulation of Branched Flows
Raphael Pellegrin · Blake Bullwinkel · Marios Mattheakis · Pavlos Protopapas
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Workshop
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Physics-informed Bayesian Optimization of an Electron Microscope
Desheng Ma
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Workshop
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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
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Workshop
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Fourier Continuation for Exact Derivative Computation in Physics-Informed Neural Operators
Haydn Maust · Zongyi Li · Yixuan Wang · Anima Anandkumar
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Poster
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Wed 14:00
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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
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Workshop
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A physics-informed search for metric solutions to Ricci flow, their embeddings, and visualisation
Aarjav Jain · Challenger Mishra · Pietro Lió
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Poster
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Tue 9:00
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Accelerated Training of Physics-Informed Neural Networks (PINNs) using Meshless Discretizations
Ramansh Sharma · Varun Shankar
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Workshop
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Physics-informed neural networks for modeling rate- and temperature-dependent plasticity
Rajat Arora · Pratik Kakkar · Amit Chakraborty · Biswadip Dey
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Workshop
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Aboveground carbon biomass estimate with Physics-informed deep network
Juan Nathaniel · · Campbell Watson · Gabrielle Nyirjesy · Conrad Albrecht
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Poster
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Thu 9:00
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Physics-Informed Implicit Representations of Equilibrium Network Flows
Kevin D. Smith · Francesco Seccamonte · Ananthram Swami · Francesco Bullo
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