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Oral
Thu Jul 27 06:00 PM -- 06:08 PM (PDT) @ Meeting Room 316 A-C None
Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series
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Oral
Thu Jul 27 06:08 PM -- 06:16 PM (PDT) @ Meeting Room 316 A-C None
Self-Interpretable Time Series Prediction with Counterfactual Explanations
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Oral
Thu Jul 27 06:16 PM -- 06:24 PM (PDT) @ Meeting Room 316 A-C None
Resurrecting Recurrent Neural Networks for Long Sequences
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Oral
Thu Jul 27 06:24 PM -- 06:32 PM (PDT) @ Meeting Room 316 A-C None
Inferring Relational Potentials in Interacting Systems
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Oral
Thu Jul 27 06:32 PM -- 06:40 PM (PDT) @ Meeting Room 316 A-C None
Memory-Based Dual Gaussian Processes for Sequential Learning
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Oral
Thu Jul 27 06:40 PM -- 06:48 PM (PDT) @ Meeting Room 316 A-C None
H-Likelihood Approach to Deep Neural Networks with Temporal-Spatial Random Effects for High-Cardinality Categorical Features
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Oral
Thu Jul 27 06:56 PM -- 07:04 PM (PDT) @ Meeting Room 316 A-C None
Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients
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Oral
Thu Jul 27 07:04 PM -- 07:12 PM (PDT) @ Meeting Room 316 A-C None
Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere
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Oral
Thu Jul 27 07:12 PM -- 07:20 PM (PDT) @ Meeting Room 316 A-C None
Learning Control-Oriented Dynamical Structure from Data
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