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Poster
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Tue 1:00
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Lossless Compression of Structured Convolutional Models via Lifting
Gustav Sourek · Filip Zelezny · Ondrej Kuzelka
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Poster
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Thu 1:00
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Learning continuous-time PDEs from sparse data with graph neural networks
Valerii Iakovlev · Markus Heinonen · Harri Lähdesmäki
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Poster
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Mon 17:00
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Incorporating Symmetry into Deep Dynamics Models for Improved Generalization
Rui Wang · Robin Walters · Rose Yu
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Poster
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Thu 1:00
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A Diffusion Theory For Deep Learning Dynamics: Stochastic Gradient Descent Exponentially Favors Flat Minima
Zeke Xie · Issei Sato · Masashi Sugiyama
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Spotlight
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Tue 5:18
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Learning Incompressible Fluid Dynamics from Scratch - Towards Fast, Differentiable Fluid Models that Generalize
Nils Wandel · Michael Weinmann · Reinhard Klein
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Poster
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Tue 1:00
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Learning Incompressible Fluid Dynamics from Scratch - Towards Fast, Differentiable Fluid Models that Generalize
Nils Wandel · Michael Weinmann · Reinhard Klein
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Poster
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Tue 17:00
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Usable Information and Evolution of Optimal Representations During Training
Michael Kleinman · Alessandro Achille · Daksh Idnani · Jonathan Kao
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Poster
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Mon 9:00
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Planning from Pixels using Inverse Dynamics Models
Keiran Paster · Sheila McIlraith · Jimmy Ba
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Poster
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Wed 9:00
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HyperDynamics: Meta-Learning Object and Agent Dynamics with Hypernetworks
Zhou Xian · Shamit Lal · Hsiao-Yu Tung · Anthony Platanios · Katerina Fragkiadaki
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Poster
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Tue 1:00
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PDE-Driven Spatiotemporal Disentanglement
Jérémie DONA · Jean-Yves Franceschi · sylvain lamprier · patrick gallinari
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Poster
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Tue 1:00
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Model-based micro-data reinforcement learning: what are the crucial model properties and which model to choose?
Balázs Kégl · Gabriel Hurtado · Albert Thomas
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Poster
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Tue 17:00
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DDPNOpt: Differential Dynamic Programming Neural Optimizer
Guan-Horng Liu · Tianrong Chen · Evangelos Theodorou
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