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Poster
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Wed 2:30
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Self-Supervised Coarsening of Unstructured Grid with Automatic Differentiation
Sergei Shumilin · Alexander Ryabov · Nikolay Yavich · Evgeny Burnaev · Vladimir Vanovskiy
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Poster
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Wed 4:30
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ΦFlowΦFlow: Differentiable Simulations for PyTorch, TensorFlow and Jax
Philipp Holl · Nils Thuerey
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Workshop
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PICT: Adaptive GPU Accelerated Differentiable Fluid Simulation for Machine Learning
Erik Franz · Nils Thuerey
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Workshop
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ΦFlowΦFlow: Differentiable Simulations for Machine Learning
Philipp Holl · Nils Thuerey
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Poster
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Tue 2:30
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CoLoRA: Continuous low-rank adaptation for reduced implicit neural modeling of parameterized partial differential equations
Jules Berman · Benjamin Peherstorfer
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Poster
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Thu 4:30
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Vectorized Conditional Neural Fields: A Framework for Solving Time-dependent Parametric Partial Differential Equations
Jan Hagnberger · Marimuthu Kalimuthu · Daniel Musekamp · Mathias Niepert
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Workshop
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End-to-end Differentiable Model of Robot-terrain Interactions
Ruslan Agishev · Vladimír Kubelka · Martin Pecka · Tomas Svoboda · Karel Zimmermann
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Poster
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Tue 2:30
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HAMLET: Graph Transformer Neural Operator for Partial Differential Equations
Andrey Bryutkin · Jiahao Huang · Zhongying Deng · Guang Yang · Carola-Bibiane Schönlieb · Angelica I Aviles-Rivero
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Poster
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Thu 2:30
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Neural Operators with Localized Integral and Differential Kernels
Miguel Liu-Schiaffini · Julius Berner · Boris Bonev · Thorsten Kurth · Kamyar Azizzadenesheli · Anima Anandkumar
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Workshop
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Euler operators for mis-specified physics-informed neural networks
Charlie Cowen-Breen · Yongji Wang · Stephen Bates · Ching-Yao Lai
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Workshop
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Physics-Informed Neural Networks for Derivative-Constrained PDEs
Kentaro Hoshisashi · Carolyn Phelan · Paolo Barucca
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Workshop
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Learning cure kinetics of frontal polymerization PDEs using differentiable simulations
Pengfei Cai · Qibang Liu · Philippe Geubelle · Rafael Gomez-Bombarelli
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