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Workshop
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Taylor Mode Neural Operators: Enhancing Computational Efficiency in Physics-Informed Neural Operators
Anas Jnini · Flavio Vella
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Workshop
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Unsupervised Physics-Informed Super-Resolution of Strong Lensing Images for Sparse Datasets
Anirudh Shankar · Michael Toomey · Sergei Gleyzer
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Workshop
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Constrained Synthesis with Projected Diffusion Models
Jacob K Christopher · Stephen Baek · Nando Fioretto
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Workshop
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Sat 11:24
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Constrained Synthesis with Projected Diffusion Models
Jacob K Christopher · Stephen Baek · Nando Fioretto
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Workshop
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ClariPhy: Physics-Informed Image Deblurring with Transformers for Hydrodynamic Instability Analysis
Shai Stamler-Grossman · Nadav Schneider · Gershon Hanoch · Gal Oren
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Poster
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Thu 11:00
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Med-Real2Sim: Non-Invasive Medical Digital Twins using Physics-Informed Self-Supervised Learning
Keying Kuang · Frances Dean · Jack B. Jedlicki · David Ouyang · Anthony Philippakis · David Sontag · Ahmed Alaa
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Poster
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Physics-informed Neural Networks for Functional Differential Equations: Cylindrical Approximation and Its Convergence Guarantees
Taiki Miyagawa · Takeru Yokota
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Poster
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Wed 16:30
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The Challenges of the Nonlinear Regime for Physics-Informed Neural Networks
Andrea Bonfanti · Giuseppe Bruno · Cristina Cipriani
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Workshop
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Physics-informed Discovery of State Variables in Second-Order and Hamiltonian Systems
Félix Chavelli · Zi-Yu Khoo · Dawen Wu · Jonathan Low · Stéphane Bressan
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Poster
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Thu 11:00
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RoPINN: Region Optimized Physics-Informed Neural Networks
Haixu Wu · Huakun Luo · Yuezhou Ma · Jianmin Wang · Mingsheng Long
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Workshop
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Exact and approximate error bounds for physics-informed neural networks
Augusto Chantada · Pavlos Protopapas · Luca Gomez Bachar · Susana Landau · Claudia Scóccola
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Workshop
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Exploring Physics-Informed Neural Networks for Crop Yield Loss Forecasting
Miro Miranda · Marcela Charfuelan · Andreas Dengel
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