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11/04/2022
Modeling Temporal Data as Continuous Functions with Process Diffusion
Temporal data like time series are often observed at irregular intervals...
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10/19/2022
Irregularly-Sampled Time Series Modeling with Spline Networks
Observations made in continuous time are often irregular and contain the...
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10/25/2021
Neural Flows: Efficient Alternative to Neural ODEs
Neural ordinary differential equations describe how values change in tim...
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10/07/2020
Equivariant Normalizing Flows for Point Processes and Sets
A point process describes how random sets of exchangeable points are gen...
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07/15/2020
Deep Representation Learning and Clustering of Traffic Scenarios
Determining the traffic scenario space is a major challenge for the homo...
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06/22/2020
Fast and Flexible Temporal Point Processes with Triangular Maps
Temporal point process (TPP) models combined with recurrent neural netwo...
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11/13/2019
Uncertainty on Asynchronous Time Event Prediction
Asynchronous event sequences are the basis of many applications througho...
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09/26/2019