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Learning Partially Known Stochastic Dynamics with Empirical PAC Bayes

Learning Partially Known Stochastic Dynamics with Empirical PAC Bayes

17 June 2020
Manuel Haussmann
S. Gerwinn
Andreas Look
Barbara Rakitsch
M. Kandemir
ArXivPDFHTML

Papers citing "Learning Partially Known Stochastic Dynamics with Empirical PAC Bayes"

8 / 8 papers shown
Title
Motion Forecasting via Model-Based Risk Minimization
Motion Forecasting via Model-Based Risk Minimization
Aron Distelzweig
Eitan Kosman
Andreas Look
Faris Janjoš
Denesh K. Manivannan
Abhinav Valada
34
3
0
16 Sep 2024
Hybrid Modeling Design Patterns
Hybrid Modeling Design Patterns
Maja Rudolph
Stefan Kurz
Barbara Rakitsch
AI4CE
31
8
0
29 Dec 2023
PAC-Bayesian Soft Actor-Critic Learning
PAC-Bayesian Soft Actor-Critic Learning
Bahareh Tasdighi
Abdullah Akgul
Manuel Haussmann
Kenny Kazimirzak Brink
M. Kandemir
34
3
0
30 Jan 2023
NeuralFMU: Presenting a workflow for integrating hybrid NeuralODEs into
  real world applications
NeuralFMU: Presenting a workflow for integrating hybrid NeuralODEs into real world applications
Tobias Thummerer
Johannes Stoljar
Lars Mikelsons
AI4CE
37
9
0
08 Sep 2022
Continual Learning of Multi-modal Dynamics with External Memory
Continual Learning of Multi-modal Dynamics with External Memory
Abdullah Akgul
Gözde B. Ünal
M. Kandemir
CLL
19
0
0
02 Mar 2022
User-friendly introduction to PAC-Bayes bounds
User-friendly introduction to PAC-Bayes bounds
Pierre Alquier
FedML
57
196
0
21 Oct 2021
NeuralFMU: Towards Structural Integration of FMUs into Neural Networks
NeuralFMU: Towards Structural Integration of FMUs into Neural Networks
Tobias Thummerer
Josef Kircher
Lars Mikelsons
AI4CE
13
8
0
09 Sep 2021
Pac-Bayesian Supervised Classification: The Thermodynamics of
  Statistical Learning
Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning
O. Catoni
148
454
0
03 Dec 2007
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