Cover Image

A Structured Nonparametric Framework for Nonlinear Accelerated Failure Time Models (KAN-AFT)

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jose, Mebin, Francis, Jisha, Kattumannil, Sudheesh Kumar
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

On Weighted Entropy Generating Function
by: S., Smitha, et al.
Published: (2025)

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

Model Comparisons: XNet Outperforms KAN
by: Li, Xin, et al.
Published: (2024)

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

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

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

Self-Supervised State Space Model for Real-Time Traffic Accident Prediction Using eKAN Networks
by: Tan, Xin, et al.
Published: (2024)

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

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

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

Prognostics of Multisensor Systems with Unknown and Unlabeled Failure Modes via Bayesian Nonparametric Process Mixtures
by: Fu, Kani, et al.
Published: (2026)

Improving KAN with CDF normalization to quantiles
by: Strawa, Jakub, et al.
Published: (2025)

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

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

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

Nonparametric Data Attribution for Diffusion Models
by: Zhao, Yutian, et al.
Published: (2025)

PAGER: A Framework for Failure Analysis of Deep Regression Models
by: Thiagarajan, Jayaraman J., et al.
Published: (2023)

KAN or MLP: A Fairer Comparison
by: Yu, Runpeng, et al.
Published: (2024)

A KAN-based Interpretable Framework for Process-Informed Prediction of Global Warming Potential
by: Lee, Jaewook, et al.
Published: (2024)

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

EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling
by: Wang, Feng, et al.
Published: (2025)

MatrixKAN: Parallelized Kolmogorov-Arnold Network
by: Coffman, Cale, et al.
Published: (2025)