:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Jose, Mebin, Francis, Jisha, Kattumannil, Sudheesh Kumar
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning
Accesso online:	https://arxiv.org/abs/2512.20305
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Jackknife empirical likelihood ratio test for log symmetric distribution using probability weighted moments
di: S, Anjana, et al.
Pubblicazione: (2024)

Nonparametric goodness of fit tests for Pareto type-I distribution with complete and censored data
di: Vishnu, Avhad Ganesh, et al.
Pubblicazione: (2024)

A New measure of income inequality
di: Kattumannil, Sudheesh K, et al.
Pubblicazione: (2023)

HiPPO-KAN: Efficient KAN Model for Time Series Analysis
di: Lee, SangJong, et al.
Pubblicazione: (2024)

Jackknife empirical likelihood ratio test for testing the equality of semivariance
di: Suresh, Saparya, et al.
Pubblicazione: (2024)

JEL ratio test for independence between a continuous and a categorical random variable
di: Suresh, Saparya, et al.
Pubblicazione: (2024)

Empirical Likelihood Based Inference for a Divergence Measure Based on Survival Extropy
di: Garg, Naresh, et al.
Pubblicazione: (2025)

A unified testing approach for log-symmetry using Fourier methods
di: Avhad, Ganesh Vishnu, et al.
Pubblicazione: (2026)

On Weighted Entropy Generating Function
di: S., Smitha, et al.
Pubblicazione: (2025)

On Relative Cumulative Residual Information Measure and Its Applications
di: Andrews, Mary, et al.
Pubblicazione: (2024)

WormKAN: Are KAN Effective for Identifying and Tracking Concept Drift in Time Series?
di: Xu, Kunpeng, et al.
Pubblicazione: (2024)

TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting
di: Huang, Songtao, et al.
Pubblicazione: (2025)

KAN KAN Buff Signed Graph Neural Networks?
di: Shebaro, Muhieddine, et al.
Pubblicazione: (2025)

TFKAN: Time-Frequency KAN for Long-Term Time Series Forecasting
di: Kui, Xiaoyan, et al.
Pubblicazione: (2025)

The Cumulative Residual Mathai--Haubold Entropy and its Non-parametric Inference
di: R, Anija C., et al.
Pubblicazione: (2025)

Empirical Likelihood Inference for Sen and Sen--Shorrocks--Thon Indices
di: N, Sreelakshmi, et al.
Pubblicazione: (2026)

Weighted Cumulative Residual Mathai-Haubold Entropy
di: R, Anija C., et al.
Pubblicazione: (2026)

Weighted cumulative residual Entropy Generating Function and its properties
di: S., Smitha, et al.
Pubblicazione: (2024)

Jackknife Empirical Likelihood-based inference for S-Gini indices
di: N, Sreelakshmi, et al.
Pubblicazione: (2017)

QuantKAN: A Unified Quantization Framework for Kolmogorov Arnold Networks
di: Fuad, Kazi Ahmed Asif, et al.
Pubblicazione: (2025)

Jackknife Empirical Likelihood Method for U Statistics Based on Multivariate Samples and its Applications
di: Garg, Naresh, et al.
Pubblicazione: (2024)

LUT-KAN: Segment-wise LUT Quantization for Fast KAN Inference
di: Kuznetsov, Oleksandr
Pubblicazione: (2026)

KAN-SR: A Kolmogorov-Arnold Network Guided Symbolic Regression Framework
di: Bühler, Marco Andrea, et al.
Pubblicazione: (2025)

Model Comparisons: XNet Outperforms KAN
di: Li, Xin, et al.
Pubblicazione: (2024)

SigKAN: Signature-Weighted Kolmogorov-Arnold Networks for Time Series
di: Inzirillo, Hugo, et al.
Pubblicazione: (2024)

KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks
di: Zhou, Quan, et al.
Pubblicazione: (2024)

From KAN to GR-KAN: Advancing Speech Enhancement with KAN-Based Methodology
di: Li, Haoyang, et al.
Pubblicazione: (2024)

A Scalable Nonparametric Continuous-Time Survival Model through Numerical Quadrature
di: Lee, Chaeyeon, et al.
Pubblicazione: (2026)

A Lightweight Hybrid MLP-Based Framework for Real-Time Phishing URL Detection Using Structural URL Features
di: Emmanuel, Uche Unoke, et al.
Pubblicazione: (2026)

Kronecker-Structured Nonparametric Spatiotemporal Point Processes
di: Xu, Zhitong, et al.
Pubblicazione: (2026)

KAN-Matrix: Visualizing Nonlinear Pairwise and Multivariate Contributions for Physical Insight
di: De la Fuente, Luis A., et al.
Pubblicazione: (2025)

DecompKAN: Decomposed Patch-KAN for Long-Term Time Series Forecasting
di: Mysore, Naveen
Pubblicazione: (2026)

On testing the class of symmetry using entropy characterization and empirical likelihood approach
di: Avhad, Ganesh Vishnu, et al.
Pubblicazione: (2025)

Non-parametric estimation of conditional quantiles for time series with heavy tails
di: Mathew, Deemat C, et al.
Pubblicazione: (2024)

Jackknife Empirical Likelihood Ratio Test for Cauchy Distribution
di: Avhad, Ganesh Vishnu, et al.
Pubblicazione: (2024)

A network-constrain Weibull AFT model for biomarkers discovery
di: Angelini, Claudia, et al.
Pubblicazione: (2024)

KAN/MultKAN with Physics-Informed Spline fitting (KAN-PISF) for ordinary/partial differential equation discovery of nonlinear dynamic systems
di: Pal, Ashish, et al.
Pubblicazione: (2024)

KAN based Autoencoders for Factor Models
di: Wang, Tianqi, et al.
Pubblicazione: (2024)

KCM: KAN-Based Collaboration Models Enhance Pretrained Large Models
di: Dai, Guangyu, et al.
Pubblicazione: (2025)

Physics Informed Kolmogorov-Arnold Neural Networks for Dynamical Analysis via Efficent-KAN and WAV-KAN
di: Patra, Subhajit, et al.
Pubblicazione: (2024)