Neural Ordinary Differential Equations

19 June 2018

Papers citing "Neural Ordinary Differential Equations"

50 / 944 papers shown

Title
GRAND: Graph Neural Diffusion B. Chamberlain J. Rowbottom Maria I. Gorinova Stefan Webb Emanuele Rossi M. Bronstein GNN 24 253 0 21 Jun 2021
Approximation capabilities of measure-preserving neural networks Aiqing Zhu Pengzhan Jin Yifa Tang 21 8 0 21 Jun 2021
Variational multiple shooting for Bayesian ODEs with Gaussian processes Pashupati Hegde Çağatay Yıldız Harri Lähdesmäki Samuel Kaski Markus Heinonen 22 16 0 21 Jun 2021
Stateful ODE-Nets using Basis Function Expansions A. Queiruga N. Benjamin Erichson Liam Hodgkinson Michael W. Mahoney 27 16 0 21 Jun 2021
Riemannian Convex Potential Maps Samuel N. Cohen Brandon Amos Y. Lipman 20 22 0 18 Jun 2021
Steerable Partial Differential Operators for Equivariant Neural Networks Erik Jenner Maurice Weiler 23 27 0 18 Jun 2021
Multi-scale Neural ODEs for 3D Medical Image Registration Junshen Xu Eric Z. Chen Xiao Chen Terrence Chen Shanhui Sun MedIm 18 23 0 16 Jun 2021
Causal Navigation by Continuous-time Neural Networks Charles J. Vorbach Ramin Hasani Alexander Amini Mathias Lechner Daniela Rus 26 47 0 15 Jun 2021
D2C: Diffusion-Denoising Models for Few-shot Conditional Generation Abhishek Sinha Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 30 118 0 12 Jun 2021
RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting Soumyasundar Pal Liheng Ma Yingxue Zhang Mark J. Coates BDL AI4TS 31 22 0 10 Jun 2021
Score-based Generative Modeling in Latent Space Arash Vahdat Karsten Kreis Jan Kautz DiffM 16 659 0 10 Jun 2021
Integrating Expert ODEs into Neural ODEs: Pharmacology and Disease Progression Zhaozhi Qian W. Zame L. Fleuren Paul Elbers M. Schaar OOD 19 53 0 05 Jun 2021
A Variational Perspective on Diffusion-Based Generative Models and Score Matching Chin-Wei Huang Jae Hyun Lim Aaron Courville DiffM 41 186 0 05 Jun 2021
Learning neural network potentials from experimental data via Differentiable Trajectory Reweighting Stephan Thaler Julija Zavadlav 20 66 0 02 Jun 2021
SHINE: SHaring the INverse Estimate from the forward pass for bi-level optimization and implicit models Zaccharie Ramzi Florian Mannel Shaojie Bai Jean-Luc Starck P. Ciuciu Thomas Moreau 29 28 0 01 Jun 2021
Efficient and Accurate Gradients for Neural SDEs Patrick Kidger James Foster Xuechen Li Terry Lyons DiffM 24 60 0 27 May 2021
Scaling Properties of Deep Residual Networks A. Cohen R. Cont Alain Rossier Renyuan Xu 22 18 0 25 May 2021
Post-Radiotherapy PET Image Outcome Prediction by Deep Learning under Biological Model Guidance: A Feasibility Study of Oropharyngeal Cancer Application H. Ji Kyle J. Lafata Y. Mowery D. Brizel Andrea L. Bertozzi F. Yin Chunhao Wang MedIm 17 12 0 22 May 2021
E(n) Equivariant Normalizing Flows Victor Garcia Satorras Emiel Hoogeboom F. Fuchs Ingmar Posner Max Welling BDL 37 168 0 19 May 2021
Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks Dequan Wang An Ju Evan Shelhamer David A. Wagner Trevor Darrell AAML 26 26 0 18 May 2021
An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming Minkai Xu Wujie Wang Shitong Luo Chence Shi Yoshua Bengio Rafael Gómez-Bombarelli Jian Tang 3DV 37 78 0 15 May 2021
Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech Vadim Popov Ivan Vovk Vladimir Gogoryan Tasnima Sadekova Mikhail Kudinov DiffM 30 514 0 13 May 2021
Discovery of Nonlinear Dynamical Systems using a Runge-Kutta Inspired Dictionary-based Sparse Regression Approach P. Goyal P. Benner 25 48 0 11 May 2021
HuMoR: 3D Human Motion Model for Robust Pose Estimation Davis Rempe Tolga Birdal Aaron Hertzmann Jimei Yang Srinath Sridhar Leonidas J. Guibas 3DH 25 310 0 10 May 2021
Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics Avik Pal Yingbo Ma Viral B. Shah Chris Rackauckas 28 36 0 09 May 2021
Neural graphical modelling in continuous-time: consistency guarantees and algorithms Alexis Bellot K. Branson M. Schaar CML AI4TS 24 43 0 06 May 2021
Bridging observation, theory and numerical simulation of the ocean using Machine Learning Maike Sonnewald Redouane Lguensat Daniel C. Jones P. Dueben J. Brajard Venkatramani Balaji AI4Cl AI4CE 43 100 0 26 Apr 2021
Deep limits and cut-off phenomena for neural networks B. Avelin A. Karlsson AI4CE 30 2 0 21 Apr 2021
RoFormer: Enhanced Transformer with Rotary Position Embedding Jianlin Su Yu Lu Shengfeng Pan Ahmed Murtadha Bo Wen Yunfeng Liu 38 2,176 0 20 Apr 2021
A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups Marc Finzi Max Welling A. Wilson 79 185 0 19 Apr 2021
Finite Volume Neural Network: Modeling Subsurface Contaminant Transport T. Praditia Matthias Karlbauer S. Otte S. Oladyshkin Martin Volker Butz Wolfgang Nowak AI4CE 17 18 0 13 Apr 2021
Which Neural Network to Choose for Post-Fault Localization, Dynamic State Estimation and Optimal Measurement Placement in Power Systems? A. Afonin Michael Chertkov 17 3 0 07 Apr 2021
GEM: Group Enhanced Model for Learning Dynamical Control Systems Philippe Hansen-Estruch Wenling Shang Lerrel Pinto Pieter Abbeel Stas Tiomkin AI4CE 27 2 0 07 Apr 2021
Learning Parallel Dense Correspondence from Spatio-Temporal Descriptors for Efficient and Robust 4D Reconstruction Jiapeng Tang Dan Xu Kui Jia Lei Zhang 3DPC 3DH 24 31 0 30 Mar 2021
Almost Surely Stable Deep Dynamics Nathan P. Lawrence Philip D. Loewen M. Forbes Johan U. Backstrom R. Bhushan Gopaluni BDL 37 20 0 26 Mar 2021
Combating Adversaries with Anti-Adversaries Motasem Alfarra Juan C. Pérez Ali K. Thabet Adel Bibi Philip H. S. Torr Guohao Li AAML 26 26 0 26 Mar 2021
JFB: Jacobian-Free Backpropagation for Implicit Networks Samy Wu Fung Howard Heaton Qiuwei Li Daniel McKenzie Stanley Osher W. Yin FedML 35 84 0 23 Mar 2021
Learning Compositional Representation for 4D Captures with Neural ODE Boyan Jiang Yinda Zhang Xingkui Wei Xiangyang Xue Yanwei Fu 27 28 0 15 Mar 2021
Continuous normalizing flows on manifolds Luca Falorsi BDL AI4CE 27 10 0 14 Mar 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models Sam Bond-Taylor Adam Leach Yang Long Chris G. Willcocks VLM TPM 41 481 0 08 Mar 2021
Adaptive-Control-Oriented Meta-Learning for Nonlinear Systems Spencer M. Richards Navid Azizan Jean-Jacques E. Slotine Marco Pavone 31 70 0 07 Mar 2021
Gaussian processes meet NeuralODEs: A Bayesian framework for learning the dynamics of partially observed systems from scarce and noisy data Mohamed Aziz Bhouri P. Perdikaris 22 20 0 04 Mar 2021
Countering Malicious DeepFakes: Survey, Battleground, and Horizon Felix Juefei Xu Run Wang Yihao Huang Qing-Wu Guo Lei Ma Yang Liu AAML 33 130 0 27 Feb 2021
Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling Naoya Takeishi Alexandros Kalousis DRL AI4CE 30 54 0 25 Feb 2021
EBMs Trained with Maximum Likelihood are Generator Models Trained with a Self-adverserial Loss Zhisheng Xiao Qing Yan Y. Amit 29 2 0 23 Feb 2021
Learning Contact Dynamics using Physically Structured Neural Networks Andreas Hochlehnert Alexander Terenin Steindór Sæmundsson M. Deisenroth 19 16 0 22 Feb 2021
Dissecting the Diffusion Process in Linear Graph Convolutional Networks Yifei Wang Yisen Wang Jiansheng Yang Zhouchen Lin GNN 44 77 0 22 Feb 2021
End-to-end neural network approach to 3D reservoir simulation and adaptation E. Illarionov Pavel Temirchev D. Voloskov R. Kostoev M. Simonov D. Pissarenko D. Orlov Dmitri A. Koroteev OOD 20 20 0 20 Feb 2021
Meta-Learning Dynamics Forecasting Using Task Inference Rui Wang Robin G. Walters Rose Yu OOD AI4TS AI4CE 24 31 0 20 Feb 2021
Learning Neural Generative Dynamics for Molecular Conformation Generation Minkai Xu Shitong Luo Yoshua Bengio Jian-wei Peng Jian Tang AI4CE 19 115 0 20 Feb 2021