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1905.09883
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Neural Stochastic Differential Equations: Deep Latent Gaussian Models in the Diffusion Limit
23 May 2019
Belinda Tzen
Maxim Raginsky
DiffM
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Papers citing
"Neural Stochastic Differential Equations: Deep Latent Gaussian Models in the Diffusion Limit"
14 / 64 papers shown
Title
Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations
Winnie Xu
Ricky T. Q. Chen
Xuechen Li
David Duvenaud
BDL
UQCV
27
46
0
12 Feb 2021
Maximum Likelihood Training of Score-Based Diffusion Models
Yang Song
Conor Durkan
Iain Murray
Stefano Ermon
DiffM
64
627
0
22 Jan 2021
Mixing it up: A general framework for Markovian statistics
Niklas Dexheimer
Claudia Strauch
Lukas Trottner
32
9
0
31 Oct 2020
Probabilistic Numeric Convolutional Neural Networks
Marc Finzi
Roberto Bondesan
Max Welling
BDL
AI4TS
34
13
0
21 Oct 2020
Identifying Latent Stochastic Differential Equations
Ali Hasan
João M. Pereira
Sina Farsiu
Vahid Tarokh
DiffM
27
18
0
12 Jul 2020
On Second Order Behaviour in Augmented Neural ODEs
Alexander Norcliffe
Cristian Bodnar
Ben Day
Nikola Simidjievski
Pietro Lio
39
90
0
12 Jun 2020
Predictive Coding Approximates Backprop along Arbitrary Computation Graphs
Beren Millidge
Alexander Tschantz
Christopher L. Buckley
32
118
0
07 Jun 2020
Neural Controlled Differential Equations for Irregular Time Series
Patrick Kidger
James Morrill
James Foster
Terry Lyons
AI4TS
32
451
0
18 May 2020
Solving high-dimensional Hamilton-Jacobi-Bellman PDEs using neural networks: perspectives from the theory of controlled diffusions and measures on path space
Nikolas Nusken
Lorenz Richter
AI4CE
38
105
0
11 May 2020
Stochasticity in Neural ODEs: An Empirical Study
V. Oganesyan
Alexandra Volokhova
Dmitry Vetrov
BDL
30
20
0
22 Feb 2020
Stochastic Normalizing Flows
Hao Wu
Jonas Köhler
Frank Noé
59
176
0
16 Feb 2020
Scalable Gradients for Stochastic Differential Equations
Xuechen Li
Ting-Kam Leonard Wong
Ricky T. Q. Chen
David Duvenaud
17
312
0
05 Jan 2020
Statistical Inference for Generative Models with Maximum Mean Discrepancy
François‐Xavier Briol
Alessandro Barp
Andrew B. Duncan
Mark Girolami
27
70
0
13 Jun 2019
Neural Jump Stochastic Differential Equations
Junteng Jia
Austin R. Benson
BDL
25
222
0
24 May 2019
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