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Workshop
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Latent GP-ODEs with Informative Priors Ilze Amanda Auzina · Çağatay Yıldız · Efstratios Gavves |
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Workshop
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Discovering ordinary differential equations that govern time-series Sören Becker · Michal Klein · Alexander Neitz · Giambattista Parascandolo · Niki Kilbertus |
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Workshop
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Experimental study of Neural ODE training with adaptive solver for dynamical systems modeling Alexandre Allauzen · Thiago Petrilli Maffei Dardis · Hannah De Oliveira Plath |
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Workshop
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Modular Flows: Differential Molecular Generation Yogesh Verma · Samuel Kaski · Markus Heinonen · Vikas Garg |
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Workshop
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An "interpretable-by-design" neural network to decipher RNA splicing regulatory logic Susan Liao · Mukund Sudarshan · Oded Regev |
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Workshop
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Mixed-Memory RNNs for Learning Long-term Dependencies in Irregularly-sampled Time Series Mathias Lechner · Ramin Hasani |
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Workshop
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A Neural ODE Interpretation of Transformer Layers Yaofeng Zhong · Tongtao Zhang · Amit Chakraborty · Biswadip Dey |
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Workshop
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Learning and Shaping Manifold Attractors for Computation in Gated Neural ODEs Timothy Kim · Tankut Can · Kamesh Krishnamurthy |
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Workshop
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torchode: A Parallel ODE Solver for PyTorch Marten Lienen · Stephan Günnemann |
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Poster
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Wed 9:00 |
Do Residual Neural Networks discretize Neural Ordinary Differential Equations? Michael Sander · Pierre Ablin · Gabriel Peyré |
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Workshop
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Structure preserving neural networks based on ODEs Davide Murari · Elena Celledoni · Brynjulf Owren · Carola-Bibiane Schönlieb · Ferdia Sherry |
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Poster
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Wed 14:00 |
Learning interacting dynamical systems with latent Gaussian process ODEs Çağatay Yıldız · Melih Kandemir · Barbara Rakitsch |