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Poster
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Fri 11:00
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Newton Informed Neural Operator for Solving Nonlinear Partial Differential Equations
Wenrui Hao · Xinliang Liu · Yahong Yang
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Workshop
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Learning SDE Solutions with Neural Stochastic Flows
Naoki Kiyohara · Edward Johns · Yingzhen Li
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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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Workshop
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Uncertainty Modeling in Graph Neural Networks via Stochastic Differential Equations
Richard Bergna · Sergio Calvo Ordoñez · Felix Opolka · Pietro Lió · José Miguel Hernández-Lobato
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Poster
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Wed 16:30
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Evidential Stochastic Differential Equations for Time-Aware Sequential Recommendation
Krishna Neupane · Ervine Zheng · Qi Yu
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Workshop
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Spatial Shortcuts in Graph Neural Controlled Differential Equations
Michael Detzel · Gabriel Nobis · Jackie Ma · Wojciech Samek
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Workshop
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ParaFIND: Parameter Field Inference on Non-uniform Domains using Neural Network
Masmoudi · Xuyang Li · Nizar Lajnef · Vishnu Boddeti
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Workshop
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Projected Neural Differential Equations for Power Grid Modeling with Constraints
Alistair White · Anna Büttner · Maximilian Gelbrecht · Niki Kilbertus · Frank Hellmann · Niklas Boers
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Workshop
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Uncertainty-Penalized Bayesian Information Criterion for Parametric Partial Differential Equation Discovery
Pongpisit Thanasutives · Ken-ichi Fukui
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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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Workshop
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Accelerating Quantum Emitter Characterization with Latent Neural Ordinary Differential Equations
Andrew Proppe · Kin Long Kelvin Lee · Weiwei Sun · Chantalle Krajewska · Oliver Tye · Moungi Bawendi
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Poster
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Fri 11:00
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An Efficient High-dimensional Gradient Estimator for Stochastic Differential Equations
Shengbo Wang · Jose Blanchet · Peter W Glynn
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