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A Deterministic Approximation to Neural SDEs

A Deterministic Approximation to Neural SDEs

16 June 2020
Andreas Look
M. Kandemir
Barbara Rakitsch
Jan Peters
    DiffM
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Papers citing "A Deterministic Approximation to Neural SDEs"

3 / 3 papers shown
Title
Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning
Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning
Abdullah Akgul
Manuel Haußmann
M. Kandemir
OffRL
76
1
0
17 Jan 2025
Cheap and Deterministic Inference for Deep State-Space Models of
  Interacting Dynamical Systems
Cheap and Deterministic Inference for Deep State-Space Models of Interacting Dynamical Systems
Andreas Look
M. Kandemir
Barbara Rakitsch
Jan Peters
BDL
33
6
0
02 May 2023
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,145
0
06 Jun 2015
1