Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2102.03657
Cited By
v1
v2 (latest)
Neural SDEs as Infinite-Dimensional GANs
International Conference on Machine Learning (ICML), 2021
6 February 2021
Patrick Kidger
James Foster
Xuechen Li
Harald Oberhauser
Terry Lyons
DiffM
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Neural SDEs as Infinite-Dimensional GANs"
17 / 117 papers shown
Generative Adversarial Neural Operators
Md Ashiqur Rahman
Manuel A. Florez
Anima Anandkumar
Zachary E. Ross
Kamyar Azizzadenesheli
GAN
322
50
0
06 May 2022
Neural Lagrangian Schrödinger Bridge: Diffusion Modeling for Population Dynamics
International Conference on Learning Representations (ICLR), 2022
Takeshi Koshizuka
Issei Sato
340
7
0
11 Apr 2022
Designing Universal Causal Deep Learning Models: The Geometric (Hyper)Transformer
Mathematical Finance (Math. Finance), 2022
Beatrice Acciaio
Anastasis Kratsios
G. Pammer
OOD
439
30
0
31 Jan 2022
Fractional SDE-Net: Generation of Time Series Data with Long-term Memory
International Conference on Data Science and Advanced Analytics (DSAA), 2022
Kunihiko Miyoshi
Kei Nakagawa
AI4TS
196
11
0
16 Jan 2022
Characteristic Neural Ordinary Differential Equations
International Conference on Learning Representations (ICLR), 2021
Xingzi Xu
Ali Hasan
Khalil Elkhalil
Jie Ding
Vahid Tarokh
BDL
388
3
0
25 Nov 2021
Modeling Irregular Time Series with Continuous Recurrent Units
International Conference on Machine Learning (ICML), 2021
Mona Schirmer
Mazin Eltayeb
Stefan Lessmann
Maja R. Rudolph
BDL
AI4TS
337
121
0
22 Nov 2021
Proper Scoring Rules, Gradients, Divergences, and Entropies for Paths and Time Series
Bayesian Analysis (BA), 2021
Patric Bonnier
Harald Oberhauser
AI4TS
215
5
0
11 Nov 2021
Scalable Inference in SDEs by Direct Matching of the Fokker-Planck-Kolmogorov Equation
Neural Information Processing Systems (NeurIPS), 2021
Arno Solin
Ella Tamir
Prakhar Verma
161
22
0
29 Oct 2021
Neural Stochastic PDEs: Resolution-Invariant Learning of Continuous Spatiotemporal Dynamics
C. Salvi
M. Lemercier
A. Gerasimovičs
AI4CE
481
55
0
19 Oct 2021
Robust and Scalable SDE Learning: A Functional Perspective
International Conference on Learning Representations (ICLR), 2021
Scott A. Cameron
Tyron Cameron
Arnu Pretorius
Stephen J. Roberts
98
2
0
11 Oct 2021
Physics-Augmented Learning: A New Paradigm Beyond Physics-Informed Learning
Ziming Liu
Yunyue Chen
Yuanqi Du
Max Tegmark
PINN
AI4CE
172
23
0
28 Sep 2021
Quantum Quantile Mechanics: Solving Stochastic Differential Equations for Generating Time-Series
Advanced Quantum Technologies (AQT), 2021
Annie E. Paine
V. Elfving
Oleksandr Kyriienko
254
28
0
06 Aug 2021
Learning effective stochastic differential equations from microscopic simulations: linking stochastic numerics to deep learning
Chaos (Chaos), 2021
Felix Dietrich
Alexei Makeev
George A. Kevrekidis
N. Evangelou
Tom S. Bertalan
Sebastian Reich
Ioannis G. Kevrekidis
DiffM
296
54
0
10 Jun 2021
Efficient and Accurate Gradients for Neural SDEs
Neural Information Processing Systems (NeurIPS), 2021
Patrick Kidger
James Foster
Xuechen Li
Terry Lyons
DiffM
427
84
0
27 May 2021
Neural Options Pricing
Timothy C DeLise
103
2
0
27 May 2021
Monte Carlo Simulation of SDEs using GANs
Japan journal of industrial and applied mathematics (JJIAM), 2021
Jorino van Rhijn
C. Oosterlee
L. Grzelak
Shuaiqiang Liu
GAN
AI4TS
180
9
0
03 Apr 2021
Conditional Loss and Deep Euler Scheme for Time Series Generation
AAAI Conference on Artificial Intelligence (AAAI), 2021
Carl Remlinger
Joseph Mikael
Romuald Elie
DiffM
320
15
0
10 Feb 2021
Previous
1
2
3
Page 3 of 3
