Skip to yearly menu bar Skip to main content


Search All 2023 Events
 

31 Results

<<   <   Page 1 of 3   >   >>
Workshop
Two-Step Bayesian PINNs for Uncertainty Estimation
Pablo Flores · Olga Graf · Pavlos Protopapas · Karim Pichara
Workshop
Sat 6:30 The Symbiosis of Deep Learning and Differential Equations -- III
Luca Herranz-Celotti · Martin Magill · Ermal Rrapaj · Winnie Xu · Qiyao Wei · Archis Joglekar · Michael Poli · Animashree Anandkumar
Workshop
Semi-Implicit Neural Ordinary Differential Equations for Learning Chaotic Systems
Hong Zhang · Ying Liu · Romit Maulik
Workshop
Attention-guided neural differential equations for physics-constrained deep learning of ion transport
Danyal Rehman · John Lienhard
Workshop
Sat 9:45 Can Physics informed Neural Operators self improve?
Ritam Majumdar · Amey Varhade · Shirish Karande · Lovekesh Vig
Workshop
Generalized One-Shot Transfer Learning of Linear Ordinary and Partial Differential Equations
Pavlos Protopapas · Hari Raval
Poster
Tue 15:15 Exploring the Optimal Choice for Generative Processes in Diffusion Models: Ordinary vs Stochastic Differential Equations
Yu Cao · Jingrun Chen · Yixin Luo · Xiang ZHOU
Workshop
Generalised Hyperbolic State-space Models for Inference in Dynamic Systems
Yaman Kindap · Simon Godsill
Poster
Thu 15:00 Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations
Anudhyan Boral · Zhong Yi Wan · Leonardo Zepeda-Núñez · James Lottes · Qing Wang · Yi-Fan Chen · John Anderson · Fei Sha
Workshop
Physics-Informed Transformer Networks
Fabricio Dos Santos · Tara Akhound-Sadegh · Siamak Ravanbakhsh
Workshop
Towards stable real-world equation discovery with assessing differentiating quality influence
Mikhail Masliaev · Ilya Markov · Ilya Markov · Alexander Hvatov · Alexander Hvatov
Poster
Wed 15:00 Self-Supervised Learning with Lie Symmetries for Partial Differential Equations
Grégoire Mialon · Quentin Garrido · Hannah Lawrence · Danyal Rehman · Yann LeCun · Bobak Kiani · Bobak Kiani