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Poster
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Wed 11:00
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Physics-Informed Variational State-Space Gaussian Processes
Oliver Hamelijnck · Arno Solin · Theodoros Damoulas
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Poster
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Fri 16:30
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CryoGEM: Physics-Informed Generative Cryo-Electron Microscopy
Jiakai Zhang · Qihe Chen · Yan Zeng · Wenyuan Gao · Xuming He · Zhijie Liu · Jingyi Yu
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Workshop
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Modeling Pollution Spread with Obstructions using Physics-Informed Neural Networks
Yash Ranjith
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Workshop
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Dynamic Curriculum Regularization for Enhanced Training of Physics-Informed Neural Networks
Callum Duffy · Gergana V Velikova
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Poster
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Thu 16:30
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Dual Cone Gradient Descent for Training Physics-Informed Neural Networks
Youngsik Hwang · Dongyoung Lim
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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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Constrained Synthesis with Projected Diffusion Models
Jacob K Christopher · Stephen Baek · Nando Fioretto
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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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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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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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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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