"neural ordinary differential equations" Papers
20 papers found
Conference
Accelerating Neural ODEs: A Variational Formulation-based Approach
Hongjue Zhao, Yuchen Wang, Hairong Qi et al.
Air Quality Prediction with Physics-Guided Dual Neural ODEs in Open Systems
jindong tian, Yuxuan Liang, Ronghui Xu et al.
Associative memory and dead neurons
Vladimir Fanaskov, Ivan Oseledets
CoMoGaussian: Continuous Motion-Aware Gaussian Splatting from Motion-Blurred Images
Jungho Lee, DongHyeong Kim, Dogyoon Lee et al.
Continuous Exposure Learning for Low-light Image Enhancement using Neural ODEs
Donggoo Jung, Daehyun Kim, Tae Hyun Kim
DyCAST: Learning Dynamic Causal Structure from Time Series
Yue Cheng, Bochen Lyu, Weiwei Xing et al.
Global Convergence in Neural ODEs: Impact of Activation Functions
Tianxiang Gao, Siyuan Sun, Hailiang Liu et al.
Joint Modeling of fMRI and EEG Imaging Using Ordinary Differential Equation-Based Hypergraph Neural Networks
Yan Zhang, Yang Gao, Min Li
Neural Context Flows for Meta-Learning of Dynamical Systems
Roussel Desmond Nzoyem, David Barton, Tom Deakin
Neural Fractional Attention Differential Equations
Qiyu Kang, Wenjun Cui, Xuhao Li et al.
Neuro-Spectral Architectures for Causal Physics-Informed Networks
Arthur Bizzi, Leonardo Moreira, Márcio Marques et al.
ResQ: A Novel Framework to Implement Residual Neural Networks on Analog Rydberg Atom Quantum Computers
Nicholas DiBrita, Jason Han, Tirthak Patel
Semi-Implicit Neural Ordinary Differential Equations
Hong Zhang, Ying Liu, Romit Maulik
Symbolic Neural Ordinary Differential Equations
Xin Li, Chengli Zhao, Xue Zhang et al.
From Fourier to Neural ODEs: Flow Matching for Modeling Complex Systems
Xin Li, Jingdong Zhang, Qunxi Zhu et al.
Generative Quanta Color Imaging
Vishal Purohit, Junjie Luo, Yiheng Chi et al.
How Deep Do We Need: Accelerating Training and Inference of Neural ODEs via Control Perspective
Keyan Miao, Konstantinos Gatsis
Operator-Learning-Inspired Modeling of Neural Ordinary Differential Equations
Woojin Cho, Seunghyeon Cho, Hyundong Jin et al.
Semi-supervised Learning of Dynamical Systems with Neural Ordinary Differential Equations: A Teacher-Student Model Approach
Yu Wang, Yuxuan Yin, Karthik Somayaji NS et al.
StreamingFlow: Streaming Occupancy Forecasting with Asynchronous Multi-modal Data Streams via Neural Ordinary Differential Equation
Yining Shi, Kun JIANG, Ke Wang et al.