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A scalable end-to-end Gaussian process adapter for irregularly sampled time series classification

A scalable end-to-end Gaussian process adapter for irregularly sampled time series classification

Steven Cheng-Xian Li
Benjamin M. Marlin
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Papers citing "A scalable end-to-end Gaussian process adapter for irregularly sampled time series classification"

6 / 6 papers shown
Title
Learning to Decouple Complex Systems
Learning to Decouple Complex Systems
Zihan Zhou
Tianshu Yu
BDL
95
4
0
17 Feb 2025
Probabilistic Forecasting of Irregular Time Series via Conditional Flows
Probabilistic Forecasting of Irregular Time Series via Conditional Flows
Vijaya Krishna Yalavarthi
Randolf Scholz
Stefan Born
Lars Schmidt-Thieme
AI4TS
59
0
0
09 Feb 2024
Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP)
Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP)
A. Wilson
H. Nickisch
GP
56
512
0
03 Mar 2015
Sequence to Sequence Learning with Neural Networks
Sequence to Sequence Learning with Neural Networks
Ilya Sutskever
Oriol Vinyals
Quoc V. Le
AIMat
259
20,467
0
10 Sep 2014
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
334
16,972
0
20 Dec 2013
Gaussian Process Kernels for Pattern Discovery and Extrapolation
Gaussian Process Kernels for Pattern Discovery and Extrapolation
A. Wilson
Ryan P. Adams
GP
48
604
0
18 Feb 2013