Neural Ordinary Differential Equations

19 June 2018

Papers citing "Neural Ordinary Differential Equations"

50 / 947 papers shown

Title
Neural Langevin Dynamics: towards interpretable Neural Stochastic Differential Equations Simon Koop M. Peletier J. Portegies Vlado Menkovski DiffM 35 1 0 17 Nov 2022
Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs Linhao Luo Reza Haffari Shirui Pan AI4TS 28 30 0 15 Nov 2022
Aspects of scaling and scalability for flow-based sampling of lattice QCD Ryan Abbott M. S. Albergo Aleksandar Botev D. Boyda Kyle Cranmer ... Ali Razavi Danilo Jimenez Rezende F. Romero-López P. Shanahan Julian M. Urban 32 33 0 14 Nov 2022
Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks in Scientific Computing Salah A. Faroughi N. Pawar C. Fernandes Maziar Raissi Subasish Das N. Kalantari S. K. Mahjour PINN AI4CE 27 49 0 14 Nov 2022
Experimental study of Neural ODE training with adaptive solver for dynamical systems modeling A. Allauzen Thiago Petrilli Maffei Dardis Hannah Plath AI4CE 24 0 0 13 Nov 2022
Deep equilibrium models as estimators for continuous latent variables Russell Tsuchida Cheng Soon Ong 30 8 0 11 Nov 2022
Unravelling the Performance of Physics-informed Graph Neural Networks for Dynamical Systems A. Thangamuthu Gunjan Kumar S. Bishnoi Ravinder Bhattoo N. M. A. Krishnan Sayan Ranu AI4CE PINN 37 22 0 10 Nov 2022
Semi-Equivariant Continuous Normalizing Flows for Target-Aware Molecule Generation Eyal Rozenberg Daniel Freedman 21 0 0 09 Nov 2022
Learning Spatio-Temporal Model of Disease Progression with NeuralODEs from Longitudinal Volumetric Data Dmitrii Lachinov A. Chakravarty C. Grechenig U. Schmidt-Erfurth Hrvoje Bogunović 25 11 0 08 Nov 2022
Learning Riemannian Stable Dynamical Systems via Diffeomorphisms Jiechao Zhang Hadi Beik-Mohammadi Leonel Rozo 25 15 0 06 Nov 2022
Disentangling Content and Motion for Text-Based Neural Video Manipulation Levent Karacan Tolga Kerimouglu .Ismail .Inan Tolga Birdal Erkut Erdem Aykut Erdem 29 1 0 05 Nov 2022
Beyond Hawkes: Neural Multi-event Forecasting on Spatio-temporal Point Processes Negar Erfanian Santiago Segarra Maarten V. de Hoop AI4TS 16 1 0 05 Nov 2022
Grassmann Manifold Flows for Stable Shape Generation Ryoma Yataka Kazuki Hirashima Masashi Shiraishi 27 1 0 05 Nov 2022
Discovering ordinary differential equations that govern time-series Soren Becker M. Klein Alexander Neitz Giambattista Parascandolo Niki Kilbertus AI4TS 19 4 0 05 Nov 2022
Instance-Dependent Generalization Bounds via Optimal Transport Songyan Hou Parnian Kassraie Anastasis Kratsios Andreas Krause Jonas Rothfuss 22 6 0 02 Nov 2022
Perturbation Analysis of Neural Collapse Tom Tirer Haoxiang Huang Jonathan Niles-Weed AAML 35 23 0 29 Oct 2022
Differentiable Analog Quantum Computing for Optimization and Control Jiaqi Leng Yuxiang Peng Yi-Ling Qiao Ming-Chyuan Lin Xiaodi Wu 22 15 0 28 Oct 2022
Comparison of neural closure models for discretised PDEs Hugo Melchers D. Crommelin B. Koren Vlado Menkovski B. Sanderse 22 15 0 26 Oct 2022
Sparsity in Continuous-Depth Neural Networks H. Aliee Till Richter Mikhail Solonin I. Ibarra Fabian J. Theis Niki Kilbertus 29 10 0 26 Oct 2022
Deformations of Boltzmann Distributions Bálint Máté Franccois Fleuret OT 28 2 0 25 Oct 2022
Deep Equilibrium Approaches to Diffusion Models Ashwini Pokle Zhengyang Geng Zico Kolter DiffM 30 39 0 23 Oct 2022
GAN-based Facial Attribute Manipulation Yunfan Liu Qi Li Qiyao Deng Zhen Sun Mingcong Yang CVBM 54 29 0 23 Oct 2022
torchode: A Parallel ODE Solver for PyTorch Marten Lienen Stephan Günnemann LRM 19 11 0 22 Oct 2022
Neural ODEs as Feedback Policies for Nonlinear Optimal Control I. O. Sandoval Panagiotis Petsagkourakis Ehecatl Antonio del Rio Chanona 25 9 0 20 Oct 2022
Irregularly-Sampled Time Series Modeling with Spline Networks Marin Bilos Emanuel Ramneantu Stephan Günnemann AI4TS 26 1 0 19 Oct 2022
PDEBENCH: An Extensive Benchmark for Scientific Machine Learning M. Takamoto T. Praditia Raphael Leiteritz Dan MacKinlay Francesco Alesiani Dirk Pflüger Mathias Niepert AI4CE 30 209 0 13 Oct 2022
Modular Flows: Differential Molecular Generation Yogesh Verma Samuel Kaski Markus Heinonen Vikas K. Garg 29 14 0 12 Oct 2022
LION: Latent Point Diffusion Models for 3D Shape Generation Fangyin Wei Arash Vahdat Francis Williams Zan Gojcic Or Litany Sanja Fidler Karsten Kreis DiffM 58 485 0 12 Oct 2022
GENIE: Higher-Order Denoising Diffusion Solvers Tim Dockhorn Arash Vahdat Karsten Kreis DiffM 49 104 0 11 Oct 2022
Mining Causality from Continuous-time Dynamics Models: An Application to Tsunami Forecasting Fan Wu Sanghyun Hong Dobsub Rim Noseong Park Kookjin Lee AI4TS 31 1 0 10 Oct 2022
Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models Louis Sharrock J. Simons Song Liu Mark Beaumont DiffM 64 33 0 10 Oct 2022
On the Forward Invariance of Neural ODEs Wei Xiao Tsun-Hsuan Wang Ramin Hasani Mathias Lechner Yutong Ban Chuang Gan Daniela Rus 39 11 0 10 Oct 2022
Neural Extended Kalman Filters for Learning and Predicting Dynamics of Structural Systems Wei Liu Zhilu Lai Kiran Bacsa Eleni Chatzi 35 16 0 09 Oct 2022
Stimulative Training of Residual Networks: A Social Psychology Perspective of Loafing Peng Ye Shengji Tang Baopu Li Tao Chen Wanli Ouyang 31 13 0 09 Oct 2022
Generalized energy and gradient flow via graph framelets Andi Han Dai Shi Zhiqi Shao Junbin Gao 75 13 0 08 Oct 2022
Adversarially Robust Prototypical Few-shot Segmentation with Neural-ODEs Prashant Pandey Aleti Vardhan Mustafa Chasmai Tanuj Sur Brejesh Lall AAML 21 9 0 07 Oct 2022
Dynamical systems' based neural networks E. Celledoni Davide Murari B. Owren Carola-Bibiane Schönlieb Ferdia Sherry OOD 43 10 0 05 Oct 2022
Tripletformer for Probabilistic Interpolation of Irregularly sampled Time Series Vijaya Krishna Yalavarthi Johannes Burchert Lars Schmidt-Thieme AI4TS 22 5 0 05 Oct 2022
Neural Conservation Laws: A Divergence-Free Perspective Jack Richter-Powell Y. Lipman Ricky T. Q. Chen 48 50 0 04 Oct 2022
Homotopy-based training of NeuralODEs for accurate dynamics discovery Joon-Hyuk Ko Hankyul Koh Nojun Park W. Jhe 46 8 0 04 Oct 2022
Block-wise Training of Residual Networks via the Minimizing Movement Scheme Skander Karkar Ibrahim Ayed Emmanuel de Bézenac Patrick Gallinari 30 1 0 03 Oct 2022
Towards Learned Simulators for Cell Migration Koen Minartz Y. Poels Vlado Menkovski 37 1 0 02 Oct 2022
Parameter-varying neural ordinary differential equations with partition-of-unity networks Kookjin Lee N. Trask 22 2 0 01 Oct 2022
On the optimization and generalization of overparameterized implicit neural networks Tianxiang Gao Hongyang Gao MLT AI4CE 19 3 0 30 Sep 2022
Liquid Structural State-Space Models Ramin Hasani Mathias Lechner Tsun-Hsuan Wang Makram Chahine Alexander Amini Daniela Rus AI4TS 104 95 0 26 Sep 2022
On Investigating the Conservative Property of Score-Based Generative Models Chen-Hao Chao Wei-Fang Sun Bo Wun Cheng Chun-Yi Lee 34 10 0 26 Sep 2022
Learning Interpretable Dynamics from Images of a Freely Rotating 3D Rigid Body J. Mason Christine Allen-Blanchette Nicholas Zolman Elizabeth Davison Naomi Ehrich Leonard 3DH AI4CE 46 8 0 23 Sep 2022
MIDMs: Matching Interleaved Diffusion Models for Exemplar-based Image Translation Junyoung Seo Gyuseong Lee Seokju Cho Jiyoung Lee Seung Wook Kim DiffM 38 27 0 22 Sep 2022
Turning Normalizing Flows into Monge Maps with Geodesic Gaussian Preserving Flows G. Morel Lucas Drumetz Simon Benaïchouche Nicolas Courty F. Rousseau OT 30 6 0 22 Sep 2022
Variational Inference for Infinitely Deep Neural Networks Achille Nazaret David M. Blei BDL 25 11 0 21 Sep 2022