|
Poster
|
|
SYNC: SAFETY-AWARE NEURAL CONTROL FOR STABILIZING STOCHASTIC DELAY-DIFFERENTIAL EQUATIONS
Jingdong Zhang · Qunxi Zhu · Wei Yang · Wei Lin
|
|
|
Poster
|
Mon 7:30
|
Competitive Physics Informed Networks
Qi Zeng · Yash Kothari · Spencer Bryngelson · Florian Schaefer
|
|
|
Poster
|
|
Guiding continuous operator learning through Physics-based boundary constraints
Nadim Saad · Gaurav Gupta · Shima Alizadeh · Danielle Maddix
|
|
|
Poster
|
|
Transformer Meets Boundary Value Inverse Problems
Ruchi Guo · Shuhao Cao · Long Chen
|
|
|
Poster
|
Wed 2:30
|
FINDE: Neural Differential Equations for Finding and Preserving Invariant Quantities
Takashi Matsubara · Takaharu Yaguchi
|
|
|
Poster
|
|
Anamnesic Neural Differential Equations with Orthogonal Polynomial Projections
Edward De Brouwer · Rahul G. Krishnan
|
|
|
Poster
|
|
Coupled Multiwavelet Operator Learning for Coupled Differential Equations
Xiongye Xiao · Defu Cao · Ruochen Yang · Gaurav Gupta · Gengshuo Liu · Chenzhong Yin · Radu Balan · Paul Bogdan
|
|
|
Oral
|
Wed 2:00
|
Continuous PDE Dynamics Forecasting with Implicit Neural Representations
Yuan Yin · Matthieu Kirchmeyer · Jean-Yves Franceschi · alain rakotomamonjy · patrick gallinari
|
|
|
Poster
|
|
Continuous PDE Dynamics Forecasting with Implicit Neural Representations
Yuan Yin · Matthieu Kirchmeyer · Jean-Yves Franceschi · alain rakotomamonjy · patrick gallinari
|
|
|
Workshop
|
|
Latent Stochastic Differential Equations for Modeling Quasar Variability and Inferring Black Hole Properties
Joshua Fagin · Ji Won Park · Henry Best · Matt O'Dowd
|
|
|
Workshop
|
|
Physics-constrained neural differential equations for learning multi-ionic transport
Danyal Rehman · John Lienhard
|
|
|
Poster
|
Mon 7:30
|
Generative Modelling with Inverse Heat Dissipation
Severi Rissanen · Markus Heinonen · Arno Solin
|
|
