On Neural Differential Equations

4 February 2022

Papers citing "On Neural Differential Equations"

47 / 47 papers shown

Title
MIRA: Medical Time Series Foundation Model for Real-World Health Data Hao Li Bowen Deng Chang Xu Zhiyuan Feng Viktor Schlegel ... Yizheng Sun Jingyuan Sun Kailai Yang Yiyao Yu Jiang Bian AI4TS OOD AI4CE 44 0 0 09 Jun 2025
On Fitting Flow Models with Large Sinkhorn Couplings Michal Klein Alireza Mousavi-Hosseini Stephen Zhang Marco Cuturi 37 0 0 05 Jun 2025
Physics-Constrained Flow Matching: Sampling Generative Models with Hard Constraints Utkarsh Utkarsh Pengfei Cai Alan Edelman Rafael Gomez-Bombarelli Christopher Rackauckas AI4CE 76 0 0 04 Jun 2025
Temporal horizons in forecasting: a performance-learnability trade-off Pau Vilimelis Aceituno Jack William Miller Noah Marti Youssef Farag Victor Boussange AI4TS 111 0 0 04 Jun 2025
Multiple-Frequencies Population-Based Training Waël Doulazmi Auguste Lehuger Marin Toromanoff Valentin Charraut Thibault Buhet Fabien Moutarde 24 0 0 03 Jun 2025
Weight-Space Linear Recurrent Neural Networks Roussel Desmond Nzoyem Nawid Keshtmand Idriss Tsayem David A.W. Barton Tom Deakin 32 0 0 01 Jun 2025
Structured Linear CDEs: Maximally Expressive and Parallel-in-Time Sequence Models Benjamin Walker Lingyi Yang Nicola Muca Cirone C. Salvi Terry Lyons AI4TS 90 0 0 23 May 2025
SPIN-ODE: Stiff Physics-Informed Neural ODE for Chemical Reaction Rate Estimation Wenqing Peng Zhi-Song Liu Michael Boy 110 0 0 08 May 2025
Neurophysiologically Realistic Environment for Comparing Adaptive Deep Brain Stimulation Algorithms in Parkinson Disease Ekaterina Kuzmina Dmitrii Kriukov Mikhail Lebedev Dmitry V. Dylov OOD 67 0 0 26 Apr 2025
Modelling Mean-Field Games with Neural Ordinary Differential Equations Anna C. M. Thöni Yoram Bachrach Tal Kachman 105 0 0 17 Apr 2025
SpectR: Dynamically Composing LM Experts with Spectral Routing William Fleshman Benjamin Van Durme MoMe MoE 112 0 0 04 Apr 2025
DiT-Air: Revisiting the Efficiency of Diffusion Model Architecture Design in Text to Image Generation Chen Chen Rui Qian Wenze Hu Tsu-Jui Fu Jialing Tong ... Lezhi Li Bowen Zhang Alex Schwing Wei Liu Yue Yang 143 0 0 13 Mar 2025
Geodesic Slice Sampler for Multimodal Distributions with Strong Curvature Bernardo Williams Hanlin Yu Hoang Phuc Hau Luu Georgios Arvanitidis Arto Klami 108 0 0 28 Feb 2025
Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts Roussel Desmond Nzoyem Grant Stevens Amarpal Sahota David A.W. Barton Tom Deakin 181 3 0 07 Feb 2025
No Foundations without Foundations -- Why semi-mechanistic models are essential for regulatory biology Luka Kovacevic Thomas Gaudelet James Opzoomer Hagen Triendl John Whittaker Caroline Uhler Lindsay Edwards J. Taylor-King AI4CE 102 0 0 31 Jan 2025
Towards Scalable and Stable Parallelization of Nonlinear RNNs Xavier Gonzalez Andrew Warrington Jimmy T.H. Smith Scott W. Linderman 285 11 0 17 Jan 2025
Neural Port-Hamiltonian Differential Algebraic Equations for Compositional Learning of Electrical Networks Cyrus Neary Nathan Tsao Ufuk Topcu 152 2 0 15 Dec 2024
When are dynamical systems learned from time series data statistically accurate? Jeongjin Park Nicole Yang Nisha Chandramoorthy AI4TS 72 5 0 09 Nov 2024
Adaptive Probabilistic ODE Solvers Without Adaptive Memory Requirements Nicholas Krämer 68 0 0 14 Oct 2024
Structural Constraints for Physics-augmented Learning Simon Kuang Xinfan Lin PINN 57 0 0 07 Oct 2024
Neural Approximate Mirror Maps for Constrained Diffusion Models Berthy Feng Ricardo Baptista Katherine Bouman MedIm DiffM 132 4 0 18 Jun 2024
AdjointDEIS: Efficient Gradients for Diffusion Models Zander W. Blasingame Chen Liu DiffM 154 5 0 23 May 2024
Analysis of the Geometric Structure of Neural Networks and Neural ODEs via Morse Functions Christian Kuehn Sara-Viola Kuntz 94 0 0 15 May 2024
Learning Deep Dynamical Systems using Stable Neural ODEs Andreas Sochopoulos Michael Gienger S. Vijayakumar 135 5 0 16 Apr 2024
On a Neural Implementation of Brenier's Polar Factorization Nina Vesseron Marco Cuturi 119 2 0 05 Mar 2024
Implicit Diffusion: Efficient Optimization through Stochastic Sampling Pierre Marion Anna Korba Peter Bartlett Mathieu Blondel Valentin De Bortoli Arnaud Doucet Felipe Llinares-López Courtney Paquette Quentin Berthet 154 15 0 08 Feb 2024
Continuously Evolving Graph Neural Controlled Differential Equations for Traffic Forecasting Jiajia Wu Ling Chen AI4TS 86 3 0 26 Jan 2024
DynaLay: An Introspective Approach to Dynamic Layer Selection for Deep Networks Mrinal Mathur Sergey Plis AI4CE 45 1 0 20 Dec 2023
Building symmetries into data-driven manifold dynamics models for complex flows: application to two-dimensional Kolmogorov flow Carlos E. Pérez De Jesús Alec J. Linot Michael D. Graham AI4CE 94 2 0 15 Dec 2023
Embedding Capabilities of Neural ODEs Christian Kuehn Sara-Viola Kuntz 35 3 0 02 Aug 2023
Effective Latent Differential Equation Models via Attention and Multiple Shooting German Abrevaya Mahta Ramezanian-Panahi Jean-Christophe Gagnon-Audet Pablo Polosecki Irina Rish S. Dawson Guillermo Cecchi G. Dumas MedIm 52 1 0 11 Jul 2023
Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations Anudhyan Boral Z. Y. Wan Leonardo Zepeda-Núñez James Lottes Qing Wang Yi-fan Chen John R. Anderson Fei Sha AI4CE PINN 85 11 0 01 Jun 2023
Non-adversarial training of Neural SDEs with signature kernel scores Zacharia Issa Blanka Horvath M. Lemercier C. Salvi AI4TS 116 26 0 25 May 2023
Effectively Modeling Time Series with Simple Discrete State Spaces Michael Zhang Khaled Kamal Saab Michael Poli Tri Dao Karan Goel Christopher Ré AI4TS 69 48 0 16 Mar 2023
Gentlest ascent dynamics on manifolds defined by adaptively sampled point-clouds J. M. Bello-Rivas Anastasia S. Georgiou H. Vandecasteele Ioannis G. Kevrekidis 41 4 0 09 Feb 2023
Risk Sensitive Dead-end Identification in Safety-Critical Offline Reinforcement Learning Taylor W. Killian S. Parbhoo Marzyeh Ghassemi OffRL 78 7 0 13 Jan 2023
Continuous diffusion for categorical data Sander Dieleman Laurent Sartran Arman Roshannai Nikolay Savinov Yaroslav Ganin ... Conor Durkan Curtis Hawthorne Rémi Leblond Will Grathwohl J. Adler DiffM 121 106 0 28 Nov 2022
Neural DAEs: Constrained neural networks Tue Boesen E. Haber Uri M. Ascher 103 4 0 25 Nov 2022
torchode: A Parallel ODE Solver for PyTorch Marten Lienen Stephan Günnemann LRM 85 13 0 22 Oct 2022
Neural parameter calibration for large-scale multi-agent models Thomas Gaskin G. Pavliotis Mark Girolami AI4TS 100 23 0 27 Sep 2022
Improving the Efficiency of Gradient Descent Algorithms Applied to Optimization Problems with Dynamical Constraints Ion Matei Maksym Zhenirovskyy Johan de Kleer John Maxwell 62 2 0 26 Aug 2022
Markovian Gaussian Process Variational Autoencoders Harrison Zhu Carles Balsells Rodas Yingzhen Li BDL AI4TS 111 17 0 12 Jul 2022
Noisy Learning for Neural ODEs Acts as a Robustness Locus Widening Martin Gonzalez H. Hajri Loic Cantat Mihaly Petreczky 68 1 0 16 Jun 2022
Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules Kazuki Irie Francesco Faccio Jürgen Schmidhuber AI4TS 82 11 0 03 Jun 2022
Do Residual Neural Networks discretize Neural Ordinary Differential Equations? Michael E. Sander Pierre Ablin Gabriel Peyré 112 28 0 29 May 2022
Learning the conditional law: signatures and conditional GANs in filtering and prediction of diffusion processes Fabian Germ Marc Sabate Vidales DiffM 158 0 0 01 Apr 2022
Continuous-Depth Neural Models for Dynamic Graph Prediction Michael Poli Stefano Massaroli Clayton M. Rabideau Junyoung Park Atsushi Yamashita Hajime Asama Jinkyoo Park AI4CE 54 8 0 22 Jun 2021