Neural Ordinary Differential Equations

19 June 2018

Papers citing "Neural Ordinary Differential Equations"

37 / 1,087 papers shown

Title
Neural ODEs with stochastic vector field mixtures Niall Twomey Michał Kozłowski Raúl Santos-Rodríguez 19 4 0 23 May 2019
Enforcing constraints for time series prediction in supervised, unsupervised and reinforcement learning P. Stinis AI4TS AI4CE 30 11 0 17 May 2019
Unsupervised Machine Learning for the Discovery of Latent Disease Clusters and Patient Subgroups Using Electronic Health Records Yanshan Wang Yiqing Zhao T. Therneau E. Atkinson A. Tafti Yi Yu S. Amin A. Limper Hongfang Liu OOD 30 86 0 17 May 2019
Sum-of-Squares Polynomial Flow P. Jaini Kira A. Selby Yaoliang Yu TPM 22 142 0 07 May 2019
On Scalable and Efficient Computation of Large Scale Optimal Transport Yujia Xie Minshuo Chen Haoming Jiang T. Zhao H. Zha OT 19 42 0 01 May 2019
Effective Estimation of Deep Generative Language Models Tom Pelsmaeker Wilker Aziz BDL 24 27 0 17 Apr 2019
A Selective Overview of Deep Learning Jianqing Fan Cong Ma Yiqiao Zhong BDL VLM 38 136 0 10 Apr 2019
A RAD approach to deep mixture models Laurent Dinh Jascha Narain Sohl-Dickstein Hugo Larochelle Razvan Pascanu 22 45 0 18 Mar 2019
IMEXnet: A Forward Stable Deep Neural Network E. Haber Keegan Lensink Eran Treister Lars Ruthotto 36 40 0 06 Mar 2019
Theoretical guarantees for sampling and inference in generative models with latent diffusions Belinda Tzen Maxim Raginsky DiffM 26 99 0 05 Mar 2019
Towards Robust ResNet: A Small Step but A Giant Leap Jingfeng Zhang Bo Han L. Wynter K. H. Low Mohan Kankanhalli 24 41 0 28 Feb 2019
ANODE: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs A. Gholami Kurt Keutzer George Biros 30 166 0 27 Feb 2019
Learning Dynamical Systems from Partial Observations Ibrahim Ayed Emmanuel de Bézenac Arthur Pajot J. Brajard Patrick Gallinari AI4TS 30 91 0 26 Feb 2019
DiffEqFlux.jl - A Julia Library for Neural Differential Equations Christopher Rackauckas Mike Innes Yingbo Ma J. Bettencourt Lyndon White Vaibhav Dixit 14 114 0 06 Feb 2019
Particle Flow Bayes' Rule Xinshi Chen H. Dai Le Song 19 9 0 02 Feb 2019
Emerging Convolutions for Generative Normalizing Flows Emiel Hoogeboom Rianne van den Berg Max Welling DRL 24 98 0 30 Jan 2019
Neumann Networks for Inverse Problems in Imaging Davis Gilton Greg Ongie Rebecca Willett 19 24 0 13 Jan 2019
Wireless Network Intelligence at the Edge Jihong Park S. Samarakoon M. Bennis Mérouane Debbah 23 518 0 07 Dec 2018
PDE-Net 2.0: Learning PDEs from Data with A Numeric-Symbolic Hybrid Deep Network Zichao Long Yiping Lu Bin Dong AI4CE 31 543 0 30 Nov 2018
Controllability, Multiplexing, and Transfer Learning in Networks using Evolutionary Learning R. Ooi Chao-Han Huck Yang Pin-Yu Chen V. Eguíluz N. Kiani Hector Zenil D. Gómez-Cabrero Jesper N. Tegnér 24 1 0 14 Nov 2018
Data Driven Governing Equations Approximation Using Deep Neural Networks Tong Qin Kailiang Wu D. Xiu PINN 34 270 0 13 Nov 2018
Invertible Residual Networks Jens Behrmann Will Grathwohl Ricky T. Q. Chen David Duvenaud J. Jacobsen UQCV TPM 37 618 0 02 Nov 2018
Using Deep Learning to Extend the Range of Air-Pollution Monitoring and Forecasting Philipp Haehnel Jakub Mareˇcek Julien Monteil Fearghal O'Donncha AI4CE 20 39 0 22 Oct 2018
Probabilistic Solutions To Ordinary Differential Equations As Non-Linear Bayesian Filtering: A New Perspective Filip Tronarp Hans Kersting Simo Särkkä Philipp Hennig 33 63 0 08 Oct 2018
Continuous-time Models for Stochastic Optimization Algorithms Antonio Orvieto Aurelien Lucchi 19 31 0 05 Oct 2018
FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models Will Grathwohl Ricky T. Q. Chen J. Bettencourt Ilya Sutskever David Duvenaud DRL 17 851 0 02 Oct 2018
Monge-Ampère Flow for Generative Modeling Linfeng Zhang E. Weinan Lei Wang DRL 28 62 0 26 Sep 2018
Hidden Fluid Mechanics: A Navier-Stokes Informed Deep Learning Framework for Assimilating Flow Visualization Data M. Raissi A. Yazdani George Karniadakis AI4CE PINN 19 158 0 13 Aug 2018
Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) Network A. Sherstinsky 39 3,608 0 09 Aug 2018
A Mean-Field Optimal Control Formulation of Deep Learning Weinan E Jiequn Han Qianxiao Li OOD 14 183 0 03 Jul 2018
Mining gold from implicit models to improve likelihood-free inference Johann Brehmer Gilles Louppe J. Pavez Kyle Cranmer AI4CE TPM 38 181 0 30 May 2018
Deep Neural Networks Motivated by Partial Differential Equations Lars Ruthotto E. Haber AI4CE 27 485 0 12 Apr 2018
Poly-Spline Finite Element Method T. Schneider Jérémie Dumas Xifeng Gao Mario Botsch Daniele Panozzo Denis Zorin AI4CE 36 40 0 09 Apr 2018
Enforcing constraints for interpolation and extrapolation in Generative Adversarial Networks P. Stinis Tobias J. Hagge A. Tartakovsky Enoch Yeung GAN AI4CE 56 33 0 22 Mar 2018
Convolutional Neural Networks combined with Runge-Kutta Methods Mai Zhu Bo Chang Chong Fu AI4CE 41 52 0 24 Feb 2018
Faithful Inversion of Generative Models for Effective Amortized Inference Stefan Webb Adam Goliñski R. Zinkov Siddharth Narayanaswamy Tom Rainforth Yee Whye Teh Frank Wood TPM 51 46 0 01 Dec 2017
Recurrent Neural Networks for Multivariate Time Series with Missing Values Zhengping Che S. Purushotham Kyunghyun Cho David Sontag Yan Liu AI4TS 246 1,902 0 06 Jun 2016