Learning the Dynamics of Sparsely Observed Interacting Systems

v1v2 (latest)

Learning the Dynamics of Sparsely Observed Interacting Systems

27 January 2023

Linus Bleistein

Adeline Fermanian

Agathe Guilloux

ArXiv (abs)PDF HTML

Papers citing "Learning the Dynamics of Sparsely Observed Interacting Systems"

19 / 19 papers shown

Title
Scaling ResNets in the Large-depth Regime Pierre Marion Adeline Fermanian Gérard Biau Jean-Philippe Vert 73 16 0 14 Jun 2022
Neural Controlled Differential Equations for Online Prediction Tasks James Morrill Patrick Kidger Lingyi Yang Terry Lyons AI4TS 85 44 0 21 Jun 2021
Framing RNN as a kernel method: A neural ODE approach Adeline Fermanian Pierre Marion Jean-Philippe Vert Gérard Biau 75 26 0 02 Jun 2021
Neural Rough Differential Equations for Long Time Series James Morrill C. Salvi Patrick Kidger James Foster Terry Lyons AI4TS 71 133 0 17 Sep 2020
Learning to Detect Bipolar Disorder and Borderline Personality Disorder with Language and Speech in Non-Clinical Interviews Bo Wang Yue Wu Niall Taylor Terry Lyons Maria Liakata A. Nevado-Holgado K. Saunders 56 14 0 08 Aug 2020
Neural Controlled Differential Equations for Irregular Time Series Patrick Kidger James Morrill James Foster Terry Lyons AI4TS 111 481 0 18 May 2020
Signatory: differentiable computations of the signature and logsignature transforms, on both CPU and GPU Patrick Kidger Terry Lyons 92 84 0 03 Jan 2020
Hamiltonian Neural Networks S. Greydanus Misko Dzamba J. Yosinski PINN AI4CE 118 899 0 04 Jun 2019
GRU-ODE-Bayes: Continuous modeling of sporadically-observed time series E. Brouwer Jaak Simm Adam Arany Yves Moreau SyDa CML AI4TS 96 299 0 29 May 2019
Machine Learning for Fluid Mechanics Steven Brunton B. R. Noack Petros Koumoutsakos AI4CE PINN 87 2,127 0 27 May 2019
Deep Signature Transforms Patrick Kidger Patrick Kidger Imanol Perez Arribas C. Salvi Terry Lyons SLR 149 131 0 21 May 2019
Learning Sparse Dynamical Systems from a Single Sample Trajectory Salar Fattahi Nikolai Matni Somayeh Sojoudi 88 43 0 20 Apr 2019
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 437 5,157 0 19 Jun 2018
PDE-Net: Learning PDEs from Data Zichao Long Yiping Lu Xianzhong Ma Bin Dong DiffM AI4CE 57 759 0 26 Oct 2017
Developing the Path Signature Methodology and its Application to Landmark-based Human Action Recognition Weixin Yang Terry Lyons Hao Ni Cordelia Schmid Lianwen Jin 174 50 0 13 Jul 2017
A Primer on the Signature Method in Machine Learning I. Chevyrev Andrey Kormilitzin 497 217 0 11 Mar 2016
Sequence to Sequence Learning with Neural Networks Ilya Sutskever Oriol Vinyals Quoc V. Le AIMat 446 20,590 0 10 Sep 2014
Functional Regression Jeffrey S. Morris OffRL 177 453 0 16 Jun 2014
High-dimensional regression with noisy and missing data: Provable guarantees with nonconvexity Po-Ling Loh Martin J. Wainwright 122 562 0 16 Sep 2011

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.