ABFR-KAN: Kolmogorov-Arnold Networks for Functional Brain Analysis

arXiv:2601.00416 · cs.CV · Submitted 2026-01-01 · Read on arXiv

cs.CV

Submitted: 2026-01-01

Updated: 2026-09-25

Code: https://github.com/tbwa233/ABFR-KAN

Terminology

• AUC — 32× in this paper · explained in 2 episodes
• Transformer — 31× in this paper · explained in 2 episodes
• Ablation — 9× in this paper · explained in 1 episode
• Accuracy — 8× in this paper · explained in 1 episode
• Activation Function — 8× in this paper · explained in 1 episode
• Generalizability — 6× in this paper · explained in 6 episodes
• Interpretability — 5× in this paper · explained in 15 episodes
• Ablation Studies — 3× in this paper · explained in 1 episode
• Chebyshev Polynomials — 3× in this paper · explained in 2 episodes
• Selection Bias — 3× in this paper · explained in 4 episodes
• Cognitive Load — 2× in this paper · explained in 2 episodes
• Core — 2× in this paper · explained in 2 episodes
• Data Augmentation — 2× in this paper · explained in 7 episodes
• Embeddings — 2× in this paper · explained in 2 episodes
• Kolmogorov-Arnold Networks (KANs) — 2× in this paper · explained in 3 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Symbolic Regression — 2× in this paper · explained in 5 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• AdamW Optimizer — 1× in this paper · explained in 1 episode
• Adaptability — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Clustering — 1× in this paper · explained in 2 episodes
• Computational overhead — 1× in this paper · explained in 2 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• F1 Score — 1× in this paper · explained in 3 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Gradient Flow — 1× in this paper · explained in 2 episodes
• Graph Neural Network (GNN) — 1× in this paper · explained in 3 episodes
• Hybrid Approach — 1× in this paper · explained in 4 episodes
• Kolmogorov-Arnold Networks (KAN) — 1× in this paper · explained in 2 episodes
• Montreal Neurological Institute — 1× in this paper
• New York University — 1× in this paper
• Representation Learning — 1× in this paper · explained in 2 episodes
• Spectral clustering — 1× in this paper · explained in 2 episodes

Sources

• Suitability of KANs for Computer Vision: A preliminary investigation
• Wav-KAN: Wavelet Kolmogorov-Arnold Networks
• Demonstrating the Efficacy of Kolmogorov-Arnold Networks in Vision Tasks
• Kolmogorov-Arnold Networks are Radial Basis Function Networks
• KAN 2.0: Kolmogorov-Arnold Networks Meet Science
• Unveiling the Power of Wavelets: A Wavelet-based Kolmogorov-Arnold Network for Hyperspectral Image Classification
• On the expressiveness and spectral bias of KANs

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