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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