Neural Ordinary Differential Equations

19 June 2018

Papers citing "Neural Ordinary Differential Equations"

50 / 890 papers shown

Title
Tasks Makyth Models: Machine Learning Assisted Surrogates for Tipping Points Gianluca Fabiani N. Evangelou Tianqi Cui J. M. Bello-Rivas Cristina P. Martin-Linares Constantinos Siettos Ioannis G. Kevrekidis 35 2 0 25 Sep 2023
Latent assimilation with implicit neural representations for unknown dynamics Zhuoyuan Li Bin Dong Pingwen Zhang AI4CE 24 3 0 18 Sep 2023
Matcha-TTS: A fast TTS architecture with conditional flow matching Shivam Mehta Ruibo Tu Jonas Beskow Éva Székely G. Henter 16 69 0 06 Sep 2023
Diffusion on the Probability Simplex Griffin Floto Thorsteinn Jonsson Mihai Nica Scott Sanner Eric Zhengyu Zhu DiffM 27 7 0 05 Sep 2023
Exact Inference for Continuous-Time Gaussian Process Dynamics K. Ensinger Nicholas Tagliapietra Sebastian Ziesche Sebastian Trimpe 24 1 0 05 Sep 2023
MadSGM: Multivariate Anomaly Detection with Score-based Generative Models Haksoo Lim Sewon Park Minjung Kim Jaehoon Lee S. Lim Noseong Park 32 3 0 29 Aug 2023
AI-Generated Content (AIGC) for Various Data Modalities: A Survey Lin Geng Foo Hossein Rahmani Xiaozhong Liu 78 31 0 27 Aug 2023
Robustness Analysis of Continuous-Depth Models with Lagrangian Techniques Sophie A. Neubauer Radu Grosu 20 0 0 23 Aug 2023
Hamiltonian GAN Christine Allen-Blanchette GAN AI4CE 32 1 0 22 Aug 2023
Faster Training of Neural ODEs Using Gauß-Legendre Quadrature Alexander Norcliffe M. Deisenroth 23 3 0 21 Aug 2023
Iterative Magnitude Pruning as a Renormalisation Group: A Study in The Context of The Lottery Ticket Hypothesis Abu-Al Hassan 25 0 0 06 Aug 2023
A Review of Change of Variable Formulas for Generative Modeling Ullrich Kothe 21 6 0 04 Aug 2023
A Survey on Temporal Knowledge Graph Completion: Taxonomy, Progress, and Prospects Jiapu Wang Boyue Wang M. Qiu Shirui Pan Bo Xiong ... Linhao Luo Tengfei Liu Yongli Hu Baocai Yin Wen Gao 38 19 0 04 Aug 2023
Branched Latent Neural Maps M. Salvador Alison Lesley Marsden 32 4 0 04 Aug 2023
Explainable Deep Learning for Tumor Dynamic Modeling and Overall Survival Prediction using Neural-ODE Mark A. Laurie James Lu 19 12 0 02 Aug 2023
A survey on deep learning in medical image registration: new technologies, uncertainty, evaluation metrics, and beyond Junyu Chen Yihao Liu Shuwen Wei Zhangxing Bian Shalini Subramanian A. Carass Jerry L. Prince Yong Du OOD 42 36 0 28 Jul 2023
Fading memory as inductive bias in residual recurrent networks I. Dubinin Felix Effenberger 43 4 0 27 Jul 2023
Scaling up machine learning-based chemical plant simulation: A method for fine-tuning a model to induce stable fixed points Malte Esders G. A. Ramirez M. Gastegger S. Samal 19 1 0 25 Jul 2023
TransFusion: Generating Long, High Fidelity Time Series using Diffusion Models with Transformers Md Fahim Sikder R. Ramachandranpillai Fredrik Heintz DiffM 28 9 0 24 Jul 2023
Flow Matching in Latent Space Quan Dao Hao Phung Binh Duc Nguyen Anh Tran 37 60 0 17 Jul 2023
Gradient-free training of neural ODEs for system identification and control using ensemble Kalman inversion Lucas Böttcher BDL 24 11 0 15 Jul 2023
Trainability, Expressivity and Interpretability in Gated Neural ODEs T. Kim T. Can K. Krishnamurthy AI4CE 35 4 0 12 Jul 2023
Discovering Symbolic Laws Directly from Trajectories with Hamiltonian Graph Neural Networks S. Bishnoi Ravinder Bhattoo J. Jayadeva Sayan Ranu N. M. A. Krishnan PINN AI4CE 34 1 0 11 Jul 2023
Enhancing Continuous Time Series Modelling with a Latent ODE-LSTM Approach C. Coelho M. F. P. Costa L. L. Ferrás BDL AI4TS 27 13 0 11 Jul 2023
Digital Twins for Patient Care via Knowledge Graphs and Closed-Form Continuous-Time Liquid Neural Networks Logan Nye AI4CE 19 5 0 08 Jul 2023
PAC bounds of continuous Linear Parameter-Varying systems related to neural ODEs Dániel Rácz M. Petreczky Bálint Daróczy 57 0 0 07 Jul 2023
Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals Tingting Dan Jiaqi Ding Ziquan Wei S. Kovalsky Minjeong Kim Won Hwa Kim Guorong Wu DiffM 24 6 0 01 Jul 2023
Learning Latent Dynamics via Invariant Decomposition and (Spatio-)Temporal Transformers Kai Lagemann C. Lagemann Swarnava Mukherjee 34 2 0 21 Jun 2023
Neural Astrophysical Wind Models Dustin D. Nguyen 16 2 0 20 Jun 2023
An analysis of Universal Differential Equations for data-driven discovery of Ordinary Differential Equations Mattia Silvestri Federico Baldo Eleonora Misino M. Lombardi AI4CE 16 1 0 17 Jun 2023
Probabilistic Learning of Multivariate Time Series with Temporal Irregularity Yijun Li Cheuk Hang Leung Qi Wu AI4TS 21 1 0 15 Jun 2023
A brief review of contrastive learning applied to astrophysics M. Huertas-Company R. Sarmiento J. Knapen 32 9 0 08 Jun 2023
Learning Dynamical Systems from Noisy Data with Inverse-Explicit Integrators Haakon Noren Sølve Eidnes E. Celledoni 21 3 0 06 Jun 2023
Neural FIM for learning Fisher Information Metrics from point cloud data O. Fasina Guilluame Huguet Alexander Tong Yanlei Zhang Guy Wolf Maximilian Nickel Ian M. Adelstein Smita Krishnaswamy 30 3 0 01 Jun 2023
Neural Markov Jump Processes Patrick Seifner Ramses J. Sanchez BDL 32 7 0 31 May 2023
SO(2)-Equivariant Downwash Models for Close Proximity Flight Henry Smith Ajay Shankar Jennifer Gielis J. Blumenkamp A. Prorok 29 7 0 30 May 2023
Fast Dynamic 1D Simulation of Divertor Plasmas with Neural PDE Surrogates Y. Poels G. Derks E. Westerhof Koen Minartz Sven Wiesen Vlado Menkovski 3DGS AI4CE 16 16 0 30 May 2023
Graph-based Multi-ODE Neural Networks for Spatio-Temporal Traffic Forecasting Zibo Liu Parshin Shojaee Chandan K. Reddy AI4TS AI4CE 26 9 0 30 May 2023
Implicit Transfer Operator Learning: Multiple Time-Resolution Surrogates for Molecular Dynamics M. Schreiner Ole Winther Simon Olsson OOD AI4CE 41 13 0 29 May 2023
Diffeomorphic Mesh Deformation via Efficient Optimal Transport for Cortical Surface Reconstruction Tung Le Khai Nguyen Shanlin Sun Kun Han Nhat Ho Xiaohui Xie 27 5 0 27 May 2023
GC-Flow: A Graph-Based Flow Network for Effective Clustering Tianchun Wang F. Mirzazadeh Xinming Zhang Jing Chen BDL 42 7 0 26 May 2023
Stability of implicit neural networks for long-term forecasting in dynamical systems Léon Migus J. Salomon Patrick Gallinari AI4TS AI4CE 26 1 0 26 May 2023
Error Bounds for Flow Matching Methods Joe Benton George Deligiannidis Arnaud Doucet DiffM 28 31 0 26 May 2023
On the Generalization and Approximation Capacities of Neural Controlled Differential Equations Linus Bleistein Agathe Guilloux 37 1 0 26 May 2023
Graph Neural Convection-Diffusion with Heterophily Kai Zhao Qiyu Kang Yang Song Rui She Sijie Wang Wee Peng Tay 26 27 0 26 May 2023
A Fractional Graph Laplacian Approach to Oversmoothing Sohir Maskey Raffaele Paolino Aras Bacho Gitta Kutyniok 24 29 0 22 May 2023
Do We Need an Encoder-Decoder to Model Dynamical Systems on Networks? Bing-Quan Liu Wei Luo Gang Li Jing Huang Boxiong Yang AI4CE 18 5 0 20 May 2023
Computing high-dimensional optimal transport by flow neural networks Chen Xu Xiuyuan Cheng Yao Xie OT 40 4 0 19 May 2023
NODE-ImgNet: a PDE-informed effective and robust model for image denoising Xinheng Xie Yue-bo Wu Hao Ni Cuiyu He 11 8 0 18 May 2023
TAPIR: Learning Adaptive Revision for Incremental Natural Language Understanding with a Two-Pass Model Patrick Kahardipraja Brielen Madureira David Schlangen CLL 26 9 0 18 May 2023