Saved in:
| Main Authors: | Zheng, Liangwewi Nathan, Zhang, Wei Emma, Yue, Lin, Xu, Miao, Maennel, Olaf, Chen, Weitong |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2501.09283 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
PostHoc FREE Calibrating on Kolmogorov Arnold Networks
by: Liang, Wenhao, et al.
Published: (2025)
by: Liang, Wenhao, et al.
Published: (2025)
Understanding Why Large Language Models Can Be Ineffective in Time Series Analysis: The Impact of Modality Alignment
by: Zheng, Liangwei Nathan, et al.
Published: (2024)
by: Zheng, Liangwei Nathan, et al.
Published: (2024)
Lifting Manifolds to Mitigate Pseudo-Alignment in LLM4TS
by: Zheng, Liangwei Nathan, et al.
Published: (2025)
by: Zheng, Liangwei Nathan, et al.
Published: (2025)
Irregularity-Informed Time Series Analysis: Adaptive Modelling of Spatial and Temporal Dynamics
by: Zheng, Liangwei Nathan, et al.
Published: (2024)
by: Zheng, Liangwei Nathan, et al.
Published: (2024)
Rethinking Gating Mechanism in Sparse MoE: Handling Arbitrary Modality Inputs with Confidence-Guided Gate
by: Zheng, Liangwei Nathan, et al.
Published: (2025)
by: Zheng, Liangwei Nathan, et al.
Published: (2025)
Kolmogorov-Arnold Networks (KAN) for Time Series Classification and Robust Analysis
by: Dong, Chang, et al.
Published: (2024)
by: Dong, Chang, et al.
Published: (2024)
KAN-CL: Per-Knot Importance Regularization for Continual Learning with Kolmogorov-Arnold Networks
by: Cheon, Minjong
Published: (2026)
by: Cheon, Minjong
Published: (2026)
Equidistribution-based training of Free Knot Splines and ReLU Neural Networks
by: Appella, Simone, et al.
Published: (2024)
by: Appella, Simone, et al.
Published: (2024)
Spline Dimensional Decomposition with Interpolation-based Optimal Knot Selection for Stochastic Dynamic Analysis
by: Kim, Yeonsu, et al.
Published: (2025)
by: Kim, Yeonsu, et al.
Published: (2025)
Adaptive Bayesian Multivariate Spline Knot Inference with Prior Specifications on Model Complexity
by: He, Junhui, et al.
Published: (2024)
by: He, Junhui, et al.
Published: (2024)
Ultrafast On-chip Online Learning via Spline Locality in Kolmogorov-Arnold Networks
by: Hoang, Duc, et al.
Published: (2026)
by: Hoang, Duc, et al.
Published: (2026)
Activation Space Selectable Kolmogorov-Arnold Networks
by: Yang, Zhuoqin, et al.
Published: (2024)
by: Yang, Zhuoqin, et al.
Published: (2024)
From Uniform to Learned Knots: A Study of Spline-Based Numerical Encodings for Tabular Deep Learning
by: Kumar, Manish, et al.
Published: (2026)
by: Kumar, Manish, et al.
Published: (2026)
Devil in the Tail: A Multi-Modal Framework for Drug-Drug Interaction Prediction in Long Tail Distinction
by: Zheng, Liangwei Nathan, et al.
Published: (2024)
by: Zheng, Liangwei Nathan, et al.
Published: (2024)
Kolmogorov-Arnold Representation for Symplectic Learning: Advancing Hamiltonian Neural Networks
by: Wu, Zongyu, et al.
Published: (2025)
by: Wu, Zongyu, et al.
Published: (2025)
Gaussian Process Kolmogorov-Arnold Networks
by: Chen, Andrew Siyuan
Published: (2024)
by: Chen, Andrew Siyuan
Published: (2024)
TabKAN: Advancing Tabular Data Analysis using Kolmogorov-Arnold Network
by: Eslamian, Ali, et al.
Published: (2025)
by: Eslamian, Ali, et al.
Published: (2025)
Splines-Based Feature Importance in Kolmogorov-Arnold Networks: A Framework for Supervised Tabular Data Dimensionality Reduction
by: Akazan, Ange-Clément, et al.
Published: (2025)
by: Akazan, Ange-Clément, et al.
Published: (2025)
Toward Efficient Data-Free Unlearning
by: Zhang, Chenhao, et al.
Published: (2024)
by: Zhang, Chenhao, et al.
Published: (2024)
Kolmogorov-Arnold Fourier Networks
by: Zhang, Jusheng, et al.
Published: (2025)
by: Zhang, Jusheng, et al.
Published: (2025)
We Care Each Pixel: Calibrating on Medical Segmentation Model
by: Liang, Wenhao, et al.
Published: (2025)
by: Liang, Wenhao, et al.
Published: (2025)
Probabilistic Kolmogorov-Arnold Network
by: Polar, Andrew, et al.
Published: (2021)
by: Polar, Andrew, et al.
Published: (2021)
Variational Kolmogorov-Arnold Network
by: Alesiani, Francesco, et al.
Published: (2025)
by: Alesiani, Francesco, et al.
Published: (2025)
MatrixKAN: Parallelized Kolmogorov-Arnold Network
by: Coffman, Cale, et al.
Published: (2025)
by: Coffman, Cale, et al.
Published: (2025)
Probing Routing-Conditional Calibration in Attention-Residual Transformers
by: Liang, Wenhao, et al.
Published: (2026)
by: Liang, Wenhao, et al.
Published: (2026)
Calibration Attention: Learning Reliability-Aware Representations for Vision Transformers
by: Liang, Wenhao, et al.
Published: (2025)
by: Liang, Wenhao, et al.
Published: (2025)
Granger Causality Detection with Kolmogorov-Arnold Networks
by: Lin, Hongyu, et al.
Published: (2024)
by: Lin, Hongyu, et al.
Published: (2024)
Kolmogorov-Arnold Networks-based GRU and LSTM for Loan Default Early Prediction
by: Yang, Yue, et al.
Published: (2025)
by: Yang, Yue, et al.
Published: (2025)
Catastrophic Forgetting in Kolmogorov-Arnold Networks
by: Rahman, Mohammad Marufur, et al.
Published: (2025)
by: Rahman, Mohammad Marufur, et al.
Published: (2025)
Clifford Kolmogorov-Arnold Networks
by: Wolff, Matthias, et al.
Published: (2026)
by: Wolff, Matthias, et al.
Published: (2026)
Multifidelity Kolmogorov-Arnold Networks
by: Howard, Amanda A., et al.
Published: (2024)
by: Howard, Amanda A., et al.
Published: (2024)
A Survey on Kolmogorov-Arnold Network
by: Somvanshi, Shriyank, et al.
Published: (2024)
by: Somvanshi, Shriyank, et al.
Published: (2024)
Kolmogorov Arnold Network Autoencoder in Medicine
by: Lomoio, Ugo, et al.
Published: (2025)
by: Lomoio, Ugo, et al.
Published: (2025)
Automated Knot Detection and Pairing for Wood Analysis in the Timber Industry
by: Lin, Guohao, et al.
Published: (2025)
by: Lin, Guohao, et al.
Published: (2025)
AutoKnots: Adaptive Knot Allocation for Spline Interpolation
by: Vitenti, Sandro D. P., et al.
Published: (2024)
by: Vitenti, Sandro D. P., et al.
Published: (2024)
Mapping-to-Parameter Nonlinear Functional Regression with Novel B-spline Free Knot Placement Algorithm
by: Shi, Chengdong, et al.
Published: (2024)
by: Shi, Chengdong, et al.
Published: (2024)
On the Rate of Convergence of Kolmogorov-Arnold Network Regression Estimators
by: Liu, Wei, et al.
Published: (2025)
by: Liu, Wei, et al.
Published: (2025)
Generative Quantum-inspired Kolmogorov-Arnold Eigensolver
by: Lin, Yu-Cheng, et al.
Published: (2026)
by: Lin, Yu-Cheng, et al.
Published: (2026)
Kolmogorov-Arnold Networks for Time Series: Bridging Predictive Power and Interpretability
by: Xu, Kunpeng, et al.
Published: (2024)
by: Xu, Kunpeng, et al.
Published: (2024)
Kolmogorov-Arnold Graph Neural Networks
by: De Carlo, Gianluca, et al.
Published: (2024)
by: De Carlo, Gianluca, et al.
Published: (2024)
Similar Items
-
PostHoc FREE Calibrating on Kolmogorov Arnold Networks
by: Liang, Wenhao, et al.
Published: (2025) -
Understanding Why Large Language Models Can Be Ineffective in Time Series Analysis: The Impact of Modality Alignment
by: Zheng, Liangwei Nathan, et al.
Published: (2024) -
Lifting Manifolds to Mitigate Pseudo-Alignment in LLM4TS
by: Zheng, Liangwei Nathan, et al.
Published: (2025) -
Irregularity-Informed Time Series Analysis: Adaptive Modelling of Spatial and Temporal Dynamics
by: Zheng, Liangwei Nathan, et al.
Published: (2024) -
Rethinking Gating Mechanism in Sparse MoE: Handling Arbitrary Modality Inputs with Confidence-Guided Gate
by: Zheng, Liangwei Nathan, et al.
Published: (2025)