|
Workshop
|
|
3D-PDR Orion dataset and NeuralPDR: Neural Ordinary Equations for Photodissociation regions
Gijs Vermariën · Serena Viti · Rahul Ravichandran · Thomas Bisbas
|
|
|
Workshop
|
|
Learning SDE Solutions with Neural Stochastic Flows
Naoki Kiyohara · Edward Johns · Yingzhen Li
|
|
|
Workshop
|
|
Accelerating Quantum Emitter Characterization with Latent Neural Ordinary Differential Equations
Andrew Proppe · Kin Long Kelvin Lee · Weiwei Sun · Chantalle Krajewska · Oliver Tye · Moungi Bawendi
|
|
|
Workshop
|
|
Projected Neural Differential Equations for Power Grid Modeling with Constraints
Alistair White · Anna Büttner · Maximilian Gelbrecht · Niki Kilbertus · Frank Hellmann · Niklas Boers
|
|
|
Poster
|
Fri 11:00
|
Newton Informed Neural Operator for Solving Nonlinear Partial Differential Equations
Wenrui Hao · Xinliang Liu · Yahong Yang
|
|
|
Poster
|
|
Physics-informed Neural Networks for Functional Differential Equations: Cylindrical Approximation and Its Convergence Guarantees
Taiki Miyagawa · Takeru Yokota
|
|
|
Poster
|
Wed 16:30
|
Evidential Stochastic Differential Equations for Time-Aware Sequential Recommendation
Krishna Neupane · Ervine Zheng · Qi Yu
|
|
|
Workshop
|
|
Uncertainty Modeling in Graph Neural Networks via Stochastic Differential Equations
Richard Bergna · Sergio Calvo Ordoñez · Felix Opolka · Pietro Lió · José Miguel Hernández-Lobato
|
|
|
Workshop
|
|
Spatial Shortcuts in Graph Neural Controlled Differential Equations
Michael Detzel · Gabriel Nobis · Jackie Ma · Wojciech Samek
|
|
|
Workshop
|
|
ParaFIND: Parameter Field Inference on Non-uniform Domains using Neural Network
Masmoudi · Xuyang Li · Nizar Lajnef · Vishnu Boddeti
|
|
|
Workshop
|
|
Learning cure kinetics of frontal polymerization PDEs using differentiable simulations
Pengfei Cai · Qibang Liu · Philippe Geubelle · Rafael Gomez-Bombarelli
|
|
|
Workshop
|
|
Uncertainty-Penalized Bayesian Information Criterion for Parametric Partial Differential Equation Discovery
Pongpisit Thanasutives · Ken-ichi Fukui
|
|
