ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2002.09779
  4. Cited By
Stochasticity in Neural ODEs: An Empirical Study
v1v2 (latest)

Stochasticity in Neural ODEs: An Empirical Study

International Conference on Learning Representations (ICLR), 2020
22 February 2020
V. Oganesyan
Alexandra Volokhova
Dmitry Vetrov
    BDL
ArXiv (abs)PDFHTML

Papers citing "Stochasticity in Neural ODEs: An Empirical Study"

14 / 14 papers shown
Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations
Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations
Sanghyun Hong
Fan Wu
A. Gruber
Kookjin Lee
332
0
0
12 Jan 2025
Balanced Neural ODEs: nonlinear model order reduction and Koopman operator approximations
Balanced Neural ODEs: nonlinear model order reduction and Koopman operator approximationsInternational Conference on Learning Representations (ICLR), 2024
Julius Aka
Johannes Brunnemann
Jörg Eiden
Arne Speerforck
Lars Mikelsons
604
5
0
14 Oct 2024
Neural Controlled Differential Equations with Quantum Hidden Evolutions
Neural Controlled Differential Equations with Quantum Hidden Evolutions
Lingyi Yang
Zhen Shao
285
1
0
30 Apr 2024
Sparsity in Continuous-Depth Neural Networks
Sparsity in Continuous-Depth Neural NetworksNeural Information Processing Systems (NeurIPS), 2022
H. Aliee
Till Richter
Mikhail Solonin
I. Ibarra
Fabian J. Theis
Niki Kilbertus
265
16
0
26 Oct 2022
E2V-SDE: From Asynchronous Events to Fast and Continuous Video Reconstruction via Neural Stochastic Differential Equations
Jongwan Kim
Dongjin Lee
Byunggook Na
Seongsik Park
Jeonghee Jo
Sung-Hoon Yoon
210
0
0
15 Jun 2022
TO-FLOW: Efficient Continuous Normalizing Flows with Temporal
  Optimization adjoint with Moving Speed
TO-FLOW: Efficient Continuous Normalizing Flows with Temporal Optimization adjoint with Moving SpeedComputer Vision and Pattern Recognition (CVPR), 2022
Shian Du
Yihong Luo
Wei Chen
Jian Xu
Delu Zeng
304
11
0
19 Mar 2022
Constructing Neural Network-Based Models for Simulating Dynamical
  Systems
Constructing Neural Network-Based Models for Simulating Dynamical SystemsACM Computing Surveys (CSUR), 2021
Christian Møldrup Legaard
Thomas Schranz
G. Schweiger
Ján Drgovna
Basak Falay
Ana Cavalcanti
Alexandros Iosifidis
M. Abkar
Peter Gorm Larsen
PINNAI4CE
287
133
0
02 Nov 2021
Forecasting the outcome of spintronic experiments with Neural Ordinary
  Differential Equations
Forecasting the outcome of spintronic experiments with Neural Ordinary Differential EquationsNature Communications (Nat Commun), 2021
Xing Chen
Flavio Abreu Araujo
M. Riou
J. Torrejon
D. Ravelosona
W. Kang
Weisheng Zhao
Julie Grollier
D. Querlioz
170
49
0
23 Jul 2021
Beyond Predictions in Neural ODEs: Identification and Interventions
Beyond Predictions in Neural ODEs: Identification and Interventions
H. Aliee
Fabian J. Theis
Niki Kilbertus
CML
404
28
0
23 Jun 2021
Meta-Solver for Neural Ordinary Differential Equations
Meta-Solver for Neural Ordinary Differential Equations
Julia Gusak
A. Katrutsa
Talgat Daulbaev
A. Cichocki
Ivan Oseledets
205
2
0
15 Mar 2021
Infinitely Deep Bayesian Neural Networks with Stochastic Differential
  Equations
Infinitely Deep Bayesian Neural Networks with Stochastic Differential EquationsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Winnie Xu
Ricky T. Q. Chen
Xuechen Li
David Duvenaud
BDLUQCV
427
53
0
12 Feb 2021
Neural SDEs as Infinite-Dimensional GANs
Neural SDEs as Infinite-Dimensional GANsInternational Conference on Machine Learning (ICML), 2021
Patrick Kidger
James Foster
Xuechen Li
Harald Oberhauser
Terry Lyons
DiffM
470
205
0
06 Feb 2021
STEER: Simple Temporal Regularization For Neural ODEs
STEER: Simple Temporal Regularization For Neural ODEs
Arna Ghosh
Harkirat Singh Behl
Emilien Dupont
Juil Sock
Vinay P. Namboodiri
BDLAI4TS
346
86
0
18 Jun 2020
Neural Controlled Differential Equations for Irregular Time Series
Neural Controlled Differential Equations for Irregular Time Series
Patrick Kidger
James Morrill
James Foster
Terry Lyons
AI4TS
603
654
0
18 May 2020
1
Page 1 of 1