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Poster
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Thu 9:00
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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
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Workshop
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Sat 7:05
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Towards Markov Properties for Continuous-Time Dynamical Systems - Joris Mooij
Joris Mooij
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Poster
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Thu 9:00
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Sparsity in Continuous-Depth Neural Networks
Hananeh Aliee · Till Richter · Mikhail Solonin · Ignacio Ibarra · Fabian Theis · Niki Kilbertus
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Poster
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Thu 9:00
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Toward Equation of Motion for Deep Neural Networks: Continuous-time Gradient Descent and Discretization Error Analysis
Taiki Miyagawa
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Workshop
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Sat 8:00
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Q&A Causal and graphical models for continuous-time event data
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Affinity Workshop
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Probabilistic Querying of Continuous-Time Sequential Events
Alex Boyd · Yuxin Chang · Stephan Mandt · Padhraic Smyth
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Poster
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Thu 9:00
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Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dynamic Graphs
Ming Jin · Yuan-Fang Li · Shirui Pan
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Poster
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Thu 9:00
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Scalable Sensitivity and Uncertainty Analyses for Causal-Effect Estimates of Continuous-Valued Interventions
Andrew Jesson · Alyson Douglas · Peter Manshausen · Maëlys Solal · Nicolai Meinshausen · Philip Stier · Yarin Gal · Uri Shalit
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Poster
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Wed 14:00
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Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules
Kazuki Irie · Francesco Faccio · Jürgen Schmidhuber
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Poster
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Wed 14:00
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Forward-Backward Latent State Inference for Hidden Continuous-Time semi-Markov Chains
Nicolai Engelmann · Heinz Koeppl
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Poster
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Wed 14:00
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Thompson Sampling Efficiently Learns to Control Diffusion Processes
Mohamad Kazem Shirani Faradonbeh · Mohamad Sadegh Shirani Faradonbeh · Mohsen Bayati
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Workshop
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Sat 7:35
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Causal and graphical models for continuous-time event data
Vanessa Didelez
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