Imagen de Portada

Kolmogorov-Smirnov GAN

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Falkiewicz, Maciej, Takeishi, Naoya, Kalousis, Alexandros
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Hybrid Generative Modeling for Incomplete Physics: Deep Grey-Box Meets Optimal Transport
por: Singh, Gurjeet Sangra, et al.
Publicado: (2025)

MING: A Functional Approach to Learning Molecular Generative Models
por: Nguyen, Van Khoa, et al.
Publicado: (2024)

Mimicking Better by Matching the Approximate Action Distribution
por: Ramos, João A. Cândido, et al.
Publicado: (2023)

Unrestrained Simplex Denoising for Discrete Data. A Non-Markovian Approach Applied to Graph Generation
por: Boget, Yoann, et al.
Publicado: (2026)

Discrete Graph Auto-Encoder
por: Boget, Yoann, et al.
Publicado: (2023)

Hierarchical Discrete Flow Matching for Graph Generation
por: Boget, Yoann, et al.
Publicado: (2026)

Efficient and Stable Multi-Dimensional Kolmogorov-Smirnov Distance
por: Jacobs, Peter Matthew, et al.
Publicado: (2025)

Stein Diffusion Guidance: Training-Free Posterior Correction for Sampling Beyond High-Density Regions
por: Nguyen, Van Khoa, et al.
Publicado: (2025)

Using Kolmogorov-Smirnov Distance for Measuring Distribution Shift in Machine Learning
por: Tonguz, Ozan K., et al.
Publicado: (2025)

Integral Probability Metrics Meet Neural Networks: The Radon-Kolmogorov-Smirnov Test
por: Paik, Seunghoon, et al.
Publicado: (2023)

Forecast Sports Outcomes under Efficient Market Hypothesis: Theoretical and Experimental Analysis of Odds-Only and Generalised Linear Models
por: Goto, Kaito, et al.
Publicado: (2026)

A Temporal Difference Method for Stochastic Continuous Dynamics
por: Settai, Haruki, et al.
Publicado: (2025)

GLAD: Improving Latent Graph Generative Modeling with Simple Quantization
por: Nguyen, Van Khoa, et al.
Publicado: (2024)

Variational Grey-Box Dynamics Matching
por: Singh, Gurjeet Sangra, et al.
Publicado: (2026)

Noise-Guided Transport for Imitation Learning
por: Blondé, Lionel, et al.
Publicado: (2025)

Deterministic Decomposition of Stochastic Generative Dynamics
por: Song, Xingyu, et al.
Publicado: (2026)

Simulation-Efficient Cosmological Inference with Multi-Fidelity SBI
por: Thiele, Leander, et al.
Publicado: (2025)

M$^3$: Reframing Training Measures for Discretized Physical Simulations
por: Mei, Yuan, et al.
Publicado: (2026)

Improving Insurance Catastrophic Data with Resampling and GAN Methods
por: Dzadz, Norbert, et al.
Publicado: (2024)

Open-Source High-Speed Flight Surrogate Modeling Framework
por: Korenyi-Both, Tyler E., et al.
Publicado: (2024)

Learning Visually Interpretable Oscillator Networks for Soft Continuum Robots from Video
por: Krauss, Henrik, et al.
Publicado: (2025)

Estimating counterfactual treatment outcomes over time in complex multiagent scenarios
por: Fujii, Keisuke, et al.
Publicado: (2022)

Kolmogorov-Arnold networks for metal surface defect classification
por: Krzywda, Maciej, et al.
Publicado: (2025)

Approximating Simple ReLU Networks based on Spectral Decomposition of Fisher Information
por: Ho, Ka Long Keith, et al.
Publicado: (2025)

Data-driven simulator of multi-animal behavior with unknown dynamics via offline and online reinforcement learning
por: Fujii, Keisuke, et al.
Publicado: (2025)

Probabilistic Kolmogorov-Arnold Network
por: Polar, Andrew, et al.
Publicado: (2021)

Variational Kolmogorov-Arnold Network
por: Alesiani, Francesco, et al.
Publicado: (2025)

The GAN is dead; long live the GAN! A Modern GAN Baseline
por: Huang, Yiwen, et al.
Publicado: (2025)

tempoGAN: A Temporally Coherent, Volumetric GAN for Super-resolution Fluid Flow
por: Xie, You, et al.
Publicado: (2018)

A Survey on Kolmogorov-Arnold Network
por: Somvanshi, Shriyank, et al.
Publicado: (2024)

Gaussian Process Kolmogorov-Arnold Networks
por: Chen, Andrew Siyuan
Publicado: (2024)

Kolmogorov-Arnold causal generative models
por: Almodóvar, Alejandro, et al.
Publicado: (2026)

Kolmogorov Arnold Network Autoencoder in Medicine
por: Lomoio, Ugo, et al.
Publicado: (2025)

Geometric Kolmogorov-Arnold Superposition Theorem
por: Alesiani, Francesco, et al.
Publicado: (2025)

A Neural Model of Rule Discovery with Relatively Short-Term Sequence Memory
por: Arakawa, Naoya
Publicado: (2024)

QTabGAN: A Hybrid Quantum-Classical GAN for Tabular Data Synthesis
por: Kumari, Subhangi, et al.
Publicado: (2026)

Extension of the one-sample Kolmogorov-Smirnov test
por: Komaba, Atsushi, et al.
Publicado: (2024)

Randomized Kolmogorov-Smirnov Analysis of Volatility Roughness
por: Bianchi, Sergio, et al.
Publicado: (2025)

Target Population Synthesis using CT-GAN
por: Rastogi, Tanay, et al.
Publicado: (2025)

Activation Space Selectable Kolmogorov-Arnold Networks
por: Yang, Zhuoqin, et al.
Publicado: (2024)