Cover Image

Fluvpy: A Stochastic Program for Generating Fluvial Training Images that Match Target Statistical Distributions for Deep Learning

Fuente: Zenodo

Saved in:

Bibliographic Details
Main Authors:	Chen, Shuai, Liu, Mingzhu
Format:	Recurso digital
Published:	Zenodo 2026
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Fluvial Imagination
by: Hoag, Colin
Published: (2022)

Fluvial geomorphology
by: Brookes, A.
Published: (1994)

Titan's Fluvial and Lacustrine Landscapes
by: Birch, Samuel P. D., et al.
Published: (2025)

Special issue: Fluvial biogeomorphology
by: Angela Gurnell, et al.
Published: (2024)

Efficient Training of Neural Stochastic Differential Equations by Matching Finite Dimensional Distributions
by: Zhang, Jianxin, et al.
Published: (2024)

On the Closed-Form of Flow Matching: Generalization Does Not Arise from Target Stochasticity
by: Bertrand, Quentin, et al.
Published: (2025)

A Survey on Statistical Theory of Deep Learning: Approximation, Training Dynamics, and Generative Models
by: Suh, Namjoon, et al.
Published: (2024)

A Comprehensive Review of MP Pollution in Global Rivers: Distribution Patterns and Fluvial Transport Dynamics
by: Gaurav Hariram Rangari, et al.
Published: (2026)

DEMO: A Statistical Perspective for Efficient Image-Text Matching
by: Zhang, Fan, et al.
Published: (2024)

On the Linear Programming Model for Dynamic Stochastic Matching and Its Application to Pricing
by: Chen, Junlin, et al.
Published: (2025)

DeepWKB: Learning WKB Expansions of Invariant Distributions for Stochastic Systems
by: Li, Yao, et al.
Published: (2025)

SparDL: Distributed Deep Learning Training with Efficient Sparse Communication
by: Zhao, Minjun, et al.
Published: (2023)

Utilizing Motion Matching with Deep Reinforcement Learning for Target Location Tasks
by: Lee, Jeongmin, et al.
Published: (2024)

Distributed Deep Learning using Stochastic Gradient Staleness
by: Pham, Viet Hoang, et al.
Published: (2025)

Distributed Stochastic Zeroth-Order Optimization with Compressed Communication
by: Hua, Youqing, et al.
Published: (2025)

Unified Text-Image Generation with Weakness-Targeted Post-Training
by: Chen, Jiahui, et al.
Published: (2026)

Deep Learning Reforms Image Matching: A Survey and Outlook
by: Zhang, Shihua, et al.
Published: (2025)

LeDiFlow: Learned Distribution-guided Flow Matching to Accelerate Image Generation
by: Zwick, Pascal, et al.
Published: (2025)

Marine vs Fluvial Bottom Mud in the Scheldt Estuary
by: Verlaan, P
Published: (2000)

Salt: Self-Consistent Distribution Matching with Cache-Aware Training for Fast Video Generation
by: Ge, Xingtong, et al.
Published: (2026)

Training-Free Watermarking for Autoregressive Image Generation
by: Tong, Yu, et al.
Published: (2025)

Deep Feature Statistics Mapping for Generalized Screen Content Image Quality Assessment
by: Chen, Baoliang, et al.
Published: (2022)

Phase Matching for Out-of-Distribution Generalization
by: Hu, Chengming, et al.
Published: (2023)

HGAN-SDEs: Learning Neural Stochastic Differential Equations with Hermite-Guided Adversarial Training
by: Xu, Yuanjian, et al.
Published: (2025)

Matching the Statistical Query Lower Bound for $k$-Sparse Parity Problems with Sign Stochastic Gradient Descent
by: Kou, Yiwen, et al.
Published: (2024)

Hybrid Vision Transformer and Quantum Convolutional Neural Network for Image Classification
by: Wang, Mingzhu, et al.
Published: (2025)

Global Acceleration of Compound Flood Risks Through Fluvial-Tidal Interactions in a Warming Climate
by: Chen, Weitian
Published: (2026)

Flow-TSVAD: Target-Speaker Voice Activity Detection via Latent Flow Matching
by: Chen, Zhengyang, et al.
Published: (2024)

Generalized Prompt Tuning: Adapting Frozen Univariate Time Series Foundation Models for Multivariate Healthcare Time Series
by: Liu, Mingzhu, et al.
Published: (2024)

FAIL: Flow Matching Adversarial Imitation Learning for Image Generation
by: Ma, Yeyao, et al.
Published: (2026)

Reservoir Properties of Fluvial‐Lacustrine Triassic Sandstones in the Newark Basin
by: T. H. Shaw, et al.
Published: (2026)

Advanced Multimodal Deep Learning Architecture for Image-Text Matching
by: Wang, Jinyin, et al.
Published: (2024)

Targeted Data Protection for Diffusion Model by Matching Training Trajectory
by: Lee, Hojun, et al.
Published: (2025)

MatchDiffusion: Training-free Generation of Match-cuts
by: Pardo, Alejandro, et al.
Published: (2024)

Feasibility of Using Deep Learning to Detect Hypoxemia During Painless Gastrointestinal Endoscopy Based on Facial Images
by: Zhihu Yang, et al.
Published: (2026)

Cached Multi-Lora Composition for Multi-Concept Image Generation
by: Zou, Xiandong, et al.
Published: (2025)

A Training-Free Conditional Diffusion Model for Learning Stochastic Dynamical Systems
by: Liu, Yanfang, et al.
Published: (2024)

DeepCompile: A Compiler-Driven Approach to Optimizing Distributed Deep Learning Training
by: Tanaka, Masahiro, et al.
Published: (2025)

Beyond the Training Distribution: Mapping Generalization Boundaries in Neural Program Synthesis
by: Voigt, Henrik, et al.
Published: (2026)

A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation
by: Zhang, Kexin, et al.
Published: (2024)