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1806.07366
Cited By

Neural Ordinary Differential Equations

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Neural Ordinary Differential Equations

19 June 2018

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Papers citing "Neural Ordinary Differential Equations"

18 / 3,218 papers shown

Continuous-time Models for Stochastic Optimization Algorithms

Continuous-time Models for Stochastic Optimization Algorithms

Antonio Orvieto

Aurelien Lucchi

270

33

0

05 Oct 2018

FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative
Models

FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models

Ricky T. Q. Chen

424

974

0

02 Oct 2018

Monge-Ampère Flow for Generative Modeling

Monge-Ampère Flow for Generative Modeling

Lei Wang

240

70

0

26 Sep 2018

Cognitive Action Laws: The Case of Visual Features

Cognitive Action Laws: The Case of Visual Features

Alessandro Betti

77

15

0

28 Aug 2018

Deep Learning of Vortex Induced Vibrations

Deep Learning of Vortex Induced Vibrations

M. Triantafyllou

George Karniadakis

156

413

0

26 Aug 2018

Deep Convolutional Networks as shallow Gaussian Processes

Deep Convolutional Networks as shallow Gaussian Processes

Adrià Garriga-Alonso

Laurence Aitchison

396

280

0

16 Aug 2018

Hidden Fluid Mechanics: A Navier-Stokes Informed Deep Learning Framework
for Assimilating Flow Visualization Data

Hidden Fluid Mechanics: A Navier-Stokes Informed Deep Learning Framework for Assimilating Flow Visualization Data

George Karniadakis

183

169

0

13 Aug 2018

Neural Importance Sampling

Neural Importance Sampling

Brian McWilliams

Fabrice Rousselle

Markus Gross

320

404

0

11 Aug 2018

Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term
Memory (LSTM) Network

Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) Network

832

4,535

0

09 Aug 2018

Competitive Inner-Imaging Squeeze and Excitation for Residual Network

Competitive Inner-Imaging Squeeze and Excitation for Residual Network

283

47

0

24 Jul 2018

A Mean-Field Optimal Control Formulation of Deep Learning

A Mean-Field Optimal Control Formulation of Deep LearningResearch in the Mathematical Sciences (Res. Math. Sci.), 2018

240

198

0

03 Jul 2018

Mining gold from implicit models to improve likelihood-free inference

Mining gold from implicit models to improve likelihood-free inference

494

195

0

30 May 2018

Deep Neural Networks Motivated by Partial Differential Equations

Deep Neural Networks Motivated by Partial Differential Equations

301

532

0

12 Apr 2018

Poly-Spline Finite Element Method

Poly-Spline Finite Element Method

Jérémie Dumas

Daniele Panozzo

150

40

0

09 Apr 2018

Enforcing constraints for interpolation and extrapolation in Generative
Adversarial Networks

Enforcing constraints for interpolation and extrapolation in Generative Adversarial Networks

Tobias J. Hagge

166

33

0

22 Mar 2018

Convolutional Neural Networks combined with Runge-Kutta Methods

Convolutional Neural Networks combined with Runge-Kutta Methods

339

58

0

24 Feb 2018

Lie Transform--based Neural Networks for Dynamics Simulation and
Learning

Lie Transform--based Neural Networks for Dynamics Simulation and Learning

Roman Konoplev-Esgenburg

57

0

0

05 Feb 2018

Faithful Inversion of Generative Models for Effective Amortized
Inference

Faithful Inversion of Generative Models for Effective Amortized Inference

Siddharth Narayanaswamy

198

52

0

01 Dec 2017

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