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Efficient Training of Neural SDEs Using Stochastic Optimal Control

Efficient Training of Neural SDEs Using Stochastic Optimal Control

22 May 2025
Rembert Daems
Manfred Opper
Guillaume Crevecoeur
Tolga Birdal
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Papers citing "Efficient Training of Neural SDEs Using Stochastic Optimal Control"

4 / 4 papers shown
Title
Amortized Reparametrization: Efficient and Scalable Variational
  Inference for Latent SDEs
Amortized Reparametrization: Efficient and Scalable Variational Inference for Latent SDEs
Kevin Course
P. Nair
66
3
0
16 Dec 2023
Variational Inference for SDEs Driven by Fractional Noise
Variational Inference for SDEs Driven by Fractional Noise
Rembert Daems
Manfred Opper
Guillaume Crevecoeur
Tolga Birdal
79
6
0
19 Oct 2023
Efficient and Accurate Gradients for Neural SDEs
Efficient and Accurate Gradients for Neural SDEs
Patrick Kidger
James Foster
Xuechen Li
Terry Lyons
DiffM
64
66
0
27 May 2021
Neural Stochastic Differential Equations: Deep Latent Gaussian Models in
  the Diffusion Limit
Neural Stochastic Differential Equations: Deep Latent Gaussian Models in the Diffusion Limit
Belinda Tzen
Maxim Raginsky
DiffM
164
209
0
23 May 2019
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