Image de couverture de livre

Fourier-Invertible Neural Encoder (FINE) for Homogeneous Flows

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Ouyang, Anqiao, Ke, Hongyi, Wang, Qi
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Invertible Fourier Neural Operators for Tackling Both Forward and Inverse Problems
par: Long, Da, et autres
Publié: (2024)

Invertible Memory Flow Networks
par: Zerihun, Liyu, et autres
Publié: (2026)

Morse-based Modular Homology for Evolving Simplicial Complexes
par: Ouyang, Anqiao
Publié: (2025)

Invertible Kernel PCA with Random Fourier Features
par: Gedon, Daniel, et autres
Publié: (2023)

Zero-Flow Encoders
par: Wang, Yakun, et autres
Publié: (2026)

VINA: Variational Invertible Neural Architectures
par: Shekhar, Shubhanshu, et autres
Publié: (2026)

Pseudo-Invertible Neural Networks
par: Ehrlich, Yamit, et autres
Publié: (2026)

FFINO: Factorized Fourier Improved Neural Operator for Modeling Multiphase Flow in Underground Hydrogen Storage
par: Wang, Tao, et autres
Publié: (2025)

Implicit Bias of Mirror Flow in Homogeneous Neural Networks: Sparse and Dense Feature Learning
par: Jacobs, Tom, et autres
Publié: (2026)

Enhanced LFTSformer: A Novel Long-Term Financial Time Series Prediction Model Using Advanced Feature Engineering and the DS Encoder Informer Architecture
par: Zhang, Jianan, et autres
Publié: (2023)

Blood Glucose Control Via Pre-trained Counterfactual Invertible Neural Networks
par: Jiang, Jingchi, et autres
Publié: (2024)

Fourier-Enhanced Recurrent Neural Networks for Electrical Load Time Series Downscaling
par: Chen, Qi, et autres
Publié: (2025)

Physics-embedded Fourier Neural Network for Partial Differential Equations
par: Xu, Qingsong, et autres
Publié: (2024)

Towards Understanding Gradient Flow Dynamics of Homogeneous Neural Networks Beyond the Origin
par: Kumar, Akshay, et autres
Publié: (2025)

FourierFlow: Frequency-aware Flow Matching for Generative Turbulence Modeling
par: Wang, Haixin, et autres
Publié: (2025)

Pre-trained Encoder Inference: Revealing Upstream Encoders In Downstream Machine Learning Services
par: Fu, Shaopeng, et autres
Publié: (2024)

From Fourier to Neural ODEs: Flow Matching for Modeling Complex Systems
par: Li, Xin, et autres
Publié: (2024)

FNP: Fourier Neural Processes for Arbitrary-Resolution Data Assimilation
par: Chen, Kun, et autres
Publié: (2024)

INN-PAR: Invertible Neural Network for PPG to ABP Reconstruction
par: Kundu, Soumitra, et autres
Publié: (2024)

Generative Invertible Quantum Neural Networks
par: Rousselot, Armand, et autres
Publié: (2023)

Robustly Invertible Nonlinear Dynamics and the BiLipREN: Contracting Neural Models with Contracting Inverses
par: Zhang, Yurui, et autres
Publié: (2025)

FlowPath: Learning Data-Driven Manifolds with Invertible Flows for Robust Irregularly-sampled Time Series Classification
par: Oh, YongKyung, et autres
Publié: (2025)

Isotropic Fourier Neural Operators
par: Staddon, Michael F.
Publié: (2026)

Optimizing Retinal Prosthetic Stimuli with Conditional Invertible Neural Networks
par: Wu, Yuli, et autres
Publié: (2024)

Generalization Bounds of Stochastic Gradient Descent in Homogeneous Neural Networks
par: Ma, Wenquan, et autres
Publié: (2026)

Evaluating Autoencoders for Parametric and Invertible Multidimensional Projections
par: Dennig, Frederik L., et autres
Publié: (2025)

Recurrent State Encoders for Efficient Neural Combinatorial Optimization
par: Dernedde, Tim, et autres
Publié: (2025)

PolyThrottle: Energy-efficient Neural Network Inference on Edge Devices
par: Yan, Minghao, et autres
Publié: (2023)

Steerable Neural ODEs on Homogeneous Spaces
par: Andersdotter, Emma, et autres
Publié: (2026)

Fourier Feature Pyramids for Physics-Informed Neural Networks
par: Zhao, Brandon, et autres
Publié: (2026)

Unsupervised Domain Transfer with Conditional Invertible Neural Networks
par: Dreher, Kris K., et autres
Publié: (2023)

Data-Driven Invertible Neural Surrogates of Atmospheric Transmission
par: Koch, James, et autres
Publié: (2024)

Deep Invertible Autoencoders for Dimensionality Reduction of Dynamical Systems
par: Botteghi, Nicolò, et autres
Publié: (2026)

Language Models are Injective and Hence Invertible
par: Nikolaou, Giorgos, et autres
Publié: (2025)

The Implicit Bias of Adam and Muon on Smooth Homogeneous Neural Networks
par: Gronich, Eitan, et autres
Publié: (2026)

Limits of Resolution Equivariance in Fourier Neural Operators
par: Colagrande, Alex, et autres
Publié: (2026)

HYVE: Hybrid Vertex Encoder for Neural Distance Fields
par: Jeske, Stefan Rhys, et autres
Publié: (2023)

SuperEncoder: Towards Universal Neural Approximate Quantum State Preparation
par: Zhao, Yilun, et autres
Publié: (2024)

Block Flow: Learning Straight Flow on Data Blocks
par: Wang, Zibin, et autres
Publié: (2025)

Graph Neural Networks Powered by Encoder Embedding for Improved Node Learning
par: Chen, Shiyu, et autres
Publié: (2025)