firstbacksecondback
45 Results
Workshop
|
Discovering ordinary differential equations that govern time-series Sören Becker · Michal Klein · Alexander Neitz · Giambattista Parascandolo · Niki Kilbertus |
||
Workshop
|
Efficient Robustness Verification of Neural Ordinary Differential Equations Mustafa Zeqiri · Mark Müller · Marc Fischer · Martin Vechev |
||
Workshop
|
Fri 4:00 |
The Symbiosis of Deep Learning and Differential Equations II Michael Poli · Winnie Xu · Estefany Kelly Buchanan · Maryam Hosseini · Luca Celotti · Martin Magill · Ermal Rrapaj · Qiyao Wei · Stefano Massaroli · Patrick Kidger · Archis Joglekar · Animesh Garg · David Duvenaud |
|
Workshop
|
Learning and Shaping Manifold Attractors for Computation in Gated Neural ODEs Timothy Kim · Tankut Can · Kamesh Krishnamurthy |
||
Workshop
|
Continuous PDE Dynamics Forecasting with Implicit Neural Representations Yuan Yin · Matthieu Kirchmeyer · Jean-Yves Franceschi · Alain Rakotomamonjy · Patrick Gallinari |
||
Poster
|
Wed 14:00 |
AirfRANS: High Fidelity Computational Fluid Dynamics Dataset for Approximating Reynolds-Averaged Navier–Stokes Solutions Florent Bonnet · Jocelyn Mazari · Paola Cinnella · Patrick Gallinari |
|
Workshop
|
Physics-Guided Discovery of Highly Nonlinear Parametric Partial Differential Equations Yingtao Luo · Qiang Liu · Yuntian Chen · Wenbo Hu · TIAN TIAN · Jun Zhu |
||
Poster
|
Wed 14:00 |
Learning interacting dynamical systems with latent Gaussian process ODEs Çağatay Yıldız · Melih Kandemir · Barbara Rakitsch |
|
Poster
|
Wed 9:00 |
Chaotic Regularization and Heavy-Tailed Limits for Deterministic Gradient Descent Soon Hoe Lim · Yijun Wan · Umut Simsekli |
|
Poster
|
Wed 14:00 |
Thompson Sampling Efficiently Learns to Control Diffusion Processes Mohamad Kazem Shirani Faradonbeh · Mohamad Sadegh Shirani Faradonbeh · Mohsen Bayati |
|
Workshop
|
PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations Moshe Eliasof · Eldad Haber · Eran Treister |
||
Poster
|
Thu 9:00 |
Extrapolative Continuous-time Bayesian Neural Network for Fast Training-free Test-time Adaptation Hengguan Huang · Xiangming Gu · Hao Wang · Chang Xiao · Hongfu Liu · Ye Wang |