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Latent SDEs on Homogeneous Spaces

Latent SDEs on Homogeneous Spaces

28 June 2023
Sebastian Zeng
Florian Graf
Roland Kwitt
    BDL
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Papers citing "Latent SDEs on Homogeneous Spaces"

7 / 7 papers shown
Title
The Stochastic Occupation Kernel (SOCK) Method for Learning Stochastic Differential Equations
The Stochastic Occupation Kernel (SOCK) Method for Learning Stochastic Differential Equations
Michael L. Wells
Kamel Lahouel
Bruno Jedynak
4
0
0
16 May 2025
Foundation Inference Models for Stochastic Differential Equations: A Transformer-based Approach for Zero-shot Function Estimation
Foundation Inference Models for Stochastic Differential Equations: A Transformer-based Approach for Zero-shot Function Estimation
Patrick Seifner
K. Cvejoski
David Berghaus
C. Ojeda
Ramses J. Sanchez
DiffM
53
1
0
26 Feb 2025
Improving the Noise Estimation of Latent Neural Stochastic Differential
  Equations
Improving the Noise Estimation of Latent Neural Stochastic Differential Equations
Linus Heck
Maximilian Gelbrecht
Michael T. Schaub
Niklas Boers
DiffM
35
0
0
23 Dec 2024
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
Neural Persistence Dynamics
Neural Persistence Dynamics
Sebastian Zeng
Florian Graf
M. Uray
Stefan Huber
Roland Kwitt
26
0
0
24 May 2024
Time-changed normalizing flows for accurate SDE modeling
Time-changed normalizing flows for accurate SDE modeling
Naoufal El Bekri
Lucas Drumetz
Franck Vermet
AI4TS
BDL
33
0
0
22 Dec 2023
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
108
184
0
25 Jan 2021
1