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Latent Neural ODEs with Sparse Bayesian Multiple Shooting

Latent Neural ODEs with Sparse Bayesian Multiple Shooting

7 October 2022
V. Iakovlev
Çağatay Yıldız
Markus Heinonen
Harri Lähdesmäki
    BDL
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Papers citing "Latent Neural ODEs with Sparse Bayesian Multiple Shooting"

7 / 7 papers shown
Title
Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series
Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series
Byoungwoo Park
Hyungi Lee
Juho Lee
AI4TS
41
0
0
08 Oct 2024
Learning Latent Dynamics via Invariant Decomposition and
  (Spatio-)Temporal Transformers
Learning Latent Dynamics via Invariant Decomposition and (Spatio-)Temporal Transformers
Kai Lagemann
C. Lagemann
Swarnava Mukherjee
27
2
0
21 Jun 2023
CONFIDE: Contextual Finite Differences Modelling of PDEs
CONFIDE: Contextual Finite Differences Modelling of PDEs
Ori Linial
Orly Avner
Dotan Di Castro
19
0
0
28 Mar 2023
Multiple shooting for training neural differential equations on time
  series
Multiple shooting for training neural differential equations on time series
Evren Mert Turan
J. Jäschke
AI4TS
21
23
0
14 Sep 2021
Train Short, Test Long: Attention with Linear Biases Enables Input
  Length Extrapolation
Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation
Ofir Press
Noah A. Smith
M. Lewis
237
690
0
27 Aug 2021
Multi-Time Attention Networks for Irregularly Sampled Time Series
Multi-Time Attention Networks for Irregularly Sampled Time Series
Satya Narayan Shukla
Benjamin M. Marlin
AI4TS
106
179
0
25 Jan 2021
Learning to Decompose and Disentangle Representations for Video
  Prediction
Learning to Decompose and Disentangle Representations for Video Prediction
Jun-Ting Hsieh
Bingbin Liu
De-An Huang
Li Fei-Fei
Juan Carlos Niebles
DRL
124
302
0
11 Jun 2018
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