Neural Ordinary Differential Equations

19 June 2018

Papers citing "Neural Ordinary Differential Equations"

50 / 970 papers shown

Title
Automatic differentiation and the optimization of differential equation models in biology S. Frank 22 6 0 10 Jul 2022
Variational Mixtures of ODEs for Inferring Cellular Gene Expression Dynamics Yichen Gu D. Blaauw Joshua D. Welch 18 14 0 09 Jul 2022
Continuous Methods : Hamiltonian Domain Translation Emmanuel Menier M. Bucci Mouadh Yagoubi L. Mathelin Marc Schoenauer 24 1 0 08 Jul 2022
Tractable Dendritic RNNs for Reconstructing Nonlinear Dynamical Systems Manuela Brenner Florian Hess Jonas M. Mikhaeil Leonard Bereska Zahra Monfared Po-Chen Kuo Daniel Durstewitz AI4CE 37 29 0 06 Jul 2022
Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit Differentiation Michael Chang Thomas L. Griffiths Sergey Levine OCL 59 58 0 02 Jul 2022
Infinite-Fidelity Coregionalization for Physical Simulation Shibo Li Zihan Wang Robert M. Kirby Shandian Zhe AI4CE 28 6 0 01 Jul 2022
Learning to correct spectral methods for simulating turbulent flows Gideon Dresdner Dmitrii Kochkov Peter C. Norgaard Leonardo Zepeda-Núñez Jamie A. Smith M. Brenner Stephan Hoyer AI4CE 23 56 0 01 Jul 2022
Learning Lattice Quantum Field Theories with Equivariant Continuous Flows Mathis Gerdes P. D. Haan Corrado Rainone Roberto Bondesan Miranda C. N. Cheng AI4CE 16 40 0 01 Jul 2022
j-Wave: An open-source differentiable wave simulator A. Stanziola Simon Arridge B. Cox B. Treeby VLM 41 21 0 30 Jun 2022
Neural Surface Reconstruction of Dynamic Scenes with Monocular RGB-D Camera Hongrui Cai Wanquan Feng Xuetao Feng Yan Wang Juyong Zhang 3DH 21 62 0 30 Jun 2022
Learning nonparametric ordinary differential equations from noisy data Kamel Lahouel Michael L. Wells Victor Rielly Ethan Lew David M Lovitz Bruno Jedynak 28 5 0 30 Jun 2022
Lagrangian Density Space-Time Deep Neural Network Topology B. Bishnoi PINN 22 1 0 30 Jun 2022
SPI-GAN: Denoising Diffusion GANs with Straight-Path Interpolations Jinsung Jeon Noseong Park DiffM 23 1 0 29 Jun 2022
Neural Integro-Differential Equations E. Zappala Antonio H. O. Fonseca A. Moberly M. Higley C. Abdallah Jessica A. Cardin David van Dijk 21 14 0 28 Jun 2022
Zero Stability Well Predicts Performance of Convolutional Neural Networks Liangming Chen Long Jin Mingsheng Shang MLT 24 8 0 27 Jun 2022
Gradient-based Neuromorphic Learning on Dynamical RRAM Arrays Peng Zhou Jason Eshraghian Dong-Uk Choi Wei D. Lu S. Kang 11 16 0 26 Jun 2022
D-CIPHER: Discovery of Closed-form Partial Differential Equations Krzysztof Kacprzyk Zhaozhi Qian M. Schaar AI4CE 27 1 0 21 Jun 2022
The Digital Twin Landscape at the Crossroads of Predictive Maintenance, Machine Learning and Physics Based Modeling Brian E Kunzer Mario Berges Artur Dubrawski AI4CE 19 6 0 21 Jun 2022
Learning Optimal Flows for Non-Equilibrium Importance Sampling Yu Cao Eric Vanden-Eijnden 21 3 0 20 Jun 2022
Learning the parameters of a differential equation from its trajectory via the adjoint equation I. Fekete A. Molnár P. Simon 13 0 0 17 Jun 2022
Path-Gradient Estimators for Continuous Normalizing Flows Lorenz Vaitl K. Nicoli Shinichi Nakajima Pan Kessel 27 13 0 17 Jun 2022
Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations Nabeel Seedat F. Imrie Alexis Bellot Zhaozhi Qian M. Schaar OOD CML 31 52 0 16 Jun 2022
Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching Cheng Lu Kaiwen Zheng Fan Bao Jianfei Chen Chongxuan Li Jun Zhu DiffM 39 81 0 16 Jun 2022
Noisy Learning for Neural ODEs Acts as a Robustness Locus Widening Martin Gonzalez H. Hajri Loic Cantat Mihaly Petreczky 34 1 0 16 Jun 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 31 0 0 15 Jun 2022
Scaling ResNets in the Large-depth Regime P. Marion Adeline Fermanian Gérard Biau Jean-Philippe Vert 26 16 0 14 Jun 2022
PAC-Net: A Model Pruning Approach to Inductive Transfer Learning Sanghoon Myung I. Huh Wonik Jang Jae Myung Choe Jisu Ryu Daesin Kim Kee-Eung Kim C. Jeong 24 13 0 12 Jun 2022
ACMP: Allen-Cahn Message Passing for Graph Neural Networks with Particle Phase Transition Yuelin Wang Kai Yi Xinliang Liu Yu Guang Wang Shi Jin 18 33 0 11 Jun 2022
How Much is Enough? A Study on Diffusion Times in Score-based Generative Models Giulio Franzese Simone Rossi Lixuan Yang A. Finamore Dario Rossi Maurizio Filippone Pietro Michiardi DiffM 13 46 0 10 Jun 2022
CorticalFlow: A Diffeomorphic Mesh Deformation Module for Cortical Surface Reconstruction Leo Lebrat Rodrigo Santa Cruz Frédéric de Gournay Darren Fu Pierrick Bourgeat Jurgen Fripp Clinton Fookes Olivier Salvado 3DH 27 5 0 06 Jun 2022
U(1) Symmetry-breaking Observed in Generic CNN Bottleneck Layers Louis-Franccois Bouchard Mohsen Ben Lazreg Matthew Toews 26 0 0 05 Jun 2022
AUTM Flow: Atomic Unrestricted Time Machine for Monotonic Normalizing Flows Difeng Cai Yuliang Ji Huan He Q. Ye Yuanzhe Xi TPM 30 4 0 05 Jun 2022
Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules Kazuki Irie Francesco Faccio Jürgen Schmidhuber AI4TS 35 11 0 03 Jun 2022
Entangled Residual Mappings Mathias Lechner Ramin Hasani Z. Babaiee Radu Grosu Daniela Rus T. Henzinger Sepp Hochreiter 11 5 0 02 Jun 2022
DiVAE: Photorealistic Images Synthesis with Denoising Diffusion Decoder Jie Shi Chenfei Wu Jian Liang Xiang Liu Nan Duan DiffM 14 25 0 01 Jun 2022
Do Residual Neural Networks discretize Neural Ordinary Differential Equations? Michael E. Sander Pierre Ablin Gabriel Peyré 35 25 0 29 May 2022
Standalone Neural ODEs with Sensitivity Analysis Rym Jaroudi Lukáš Malý Gabriel Eilertsen B. Johansson Jonas Unger George Baravdish 23 0 0 27 May 2022
Hazard Gradient Penalty for Survival Analysis Seungjae Jung KyungHyun Kim 33 0 0 27 May 2022
Realization Theory Of Recurrent Neural ODEs Using Polynomial System Embeddings Martin Gonzalez Thibault Defourneau H. Hajri Mihaly Petreczky 31 2 0 24 May 2022
Physics-Embedded Neural Networks: Graph Neural PDE Solvers with Mixed Boundary Conditions Masanobu Horie Naoto Mitsume PINN AI4CE 29 23 0 24 May 2022
Riemannian Metric Learning via Optimal Transport Christopher Scarvelis Justin Solomon OT 42 11 0 18 May 2022
Scalable algorithms for physics-informed neural and graph networks K. Shukla Mengjia Xu N. Trask George Karniadakis PINN AI4CE 72 40 0 16 May 2022
GRU-TV: Time- and velocity-aware GRU for patient representation on multivariate clinical time-series data Ningtao Liu Ruoxi Gao Jing Yuan Calire Park Shuwei Xing S. Gou CML AI4TS 25 1 0 04 May 2022
Virtual Analog Modeling of Distortion Circuits Using Neural Ordinary Differential Equations Jan Wilczek Alec Wright Vesa Valimaki Emanuel Habets 22 4 0 04 May 2022
Leveraging Stochastic Predictions of Bayesian Neural Networks for Fluid Simulations Maximilian Mueller Robin Greif Frank Jenko Nils Thuerey 24 3 0 02 May 2022
Data-driven control of spatiotemporal chaos with reduced-order neural ODE-based models and reinforcement learning Kevin Zeng Alec J. Linot M. Graham AI4CE 22 28 0 01 May 2022
Neural Implicit Representations for Physical Parameter Inference from a Single Video Florian Hofherr Lukas Koestler Florian Bernard Daniel Cremers AI4CE 37 9 0 29 Apr 2022
VPNets: Volume-preserving neural networks for learning source-free dynamics Aiqing Zhu Beibei Zhu Jiawei Zhang Yifa Tang Jian-Dong Liu 34 3 0 29 Apr 2022
A Probabilistic Interpretation of Transformers Alexander Shim 38 1 0 28 Apr 2022
Deep Equilibrium Optical Flow Estimation Shaojie Bai Zhengyang Geng Yash Savani J. Zico Kolter 27 67 0 18 Apr 2022