Papers with Code 아카이브
Kolmogorov-Arnold Networks
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Papers presenting models which utilize Kolmogorov-Arnold networks as their underlying architecture.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/eleonorapoeta/benchmarking-kan
공식 코드A Benchmarking Study of Kolmogorov-Arnold Networks on Tabular Data
https://github.com/ereinha/sinekan
공식 코드SineKAN: Kolmogorov-Arnold Networks Using Sinusoidal Activation Functions
https://github.com/ezeydan/F-KANs
공식 코드https://github.com/f-neumann77/hyperkan
공식 코드HyperKAN: Kolmogorov-Arnold Networks make Hyperspectral Image Classificators Smarter
https://github.com/geoelements-dev/mlp-kan
공식 코드MLPs and KANs for data-driven learning in physical problems: A performance comparison
https://github.com/ghaith81/dropkan
공식 코드https://github.com/gmc-drl/surr-rlde
공식 코드Surrogate Learning in Meta-Black-Box Optimization: A Preliminary Study
https://github.com/hhyqhh/KAN-EA
공식 코드A First Look at Kolmogorov-Arnold Networks in Surrogate-assisted Evolutionary Algorithms
https://github.com/hoangthangta/BSRBF_KAN
공식 코드BSRBF-KAN: A combination of B-splines and Radial Basis Functions in Kolmogorov-Arnold Networks
https://github.com/hoangthangta/all-kan
공식 코드https://github.com/hoangthangta/fc_kan
공식 코드https://github.com/irina-b1/KAN_TS
공식 코드Exploring Kolmogorov-Arnold Networks for Interpretable Time Series Classification
https://github.com/issaccv/KAN-AD
공식 코드KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks
https://github.com/ivandrokin/torch-conv-kan
공식 코드Kolmogorov-Arnold Convolutions: Design Principles and Empirical Studies
https://github.com/jianpanhuang/cest-kan
공식 코드CEST-KAN: Kolmogorov-Arnold Networks for CEST MRI Data Analysis
https://github.com/jiaxiang-cheng/KAN-for-Survival-Analysis
공식 코드https://github.com/jindeok/CF-KAN
공식 코드https://github.com/jmj2316/KAN-in-VIsion
공식 코드Demonstrating the Efficacy of Kolmogorov-Arnold Networks in Vision Tasks
https://github.com/kelvinhkcs/hrkan
공식 코드https://github.com/kindxiaoming/pykan
공식 코드https://github.com/knottwill/CoxKAN
공식 코드CoxKAN: Kolmogorov-Arnold Networks for Interpretable, High-Performance Survival Analysis
https://github.com/koudounasalkis/slu-kan
공식 코드"KAN you hear me?" Exploring Kolmogorov-Arnold Networks for Spoken Language Understanding
https://github.com/m-ferdaus/kanice
공식 코드KANICE: Kolmogorov-Arnold Networks with Interactive Convolutional Elements
https://github.com/mintisan/awesome-kan
공식 코드FourierKAN outperforms MLP on Text Classification Head Fine-tuning
https://github.com/nasimjamshidi/lar-iqa
공식 코드LAR-IQA: A Lightweight, Accurate, and Robust No-Reference Image Quality Assessment Model
https://github.com/nju-pcalab/err
공식 코드https://github.com/pnnl/neuromancer
공식 코드https://github.com/predictiveintelligencelab/actnet
공식 코드Deep Learning Alternatives of the Kolmogorov Superposition Theorem
https://github.com/predictiveintelligencelab/jaxpi
공식 코드Deep Learning Alternatives of the Kolmogorov Superposition Theorem
https://github.com/quiqi/relu_kan
공식 코드https://github.com/remigenet/SigKAN
공식 코드SigKAN: Signature-Weighted Kolmogorov-Arnold Networks for Time Series
https://github.com/remigenet/TKAT
공식 코드A Temporal Kolmogorov-Arnold Transformer for Time Series Forecasting
https://github.com/remigenet/deepdynamicvwap
공식 코드https://github.com/remigenet/kamoe
공식 코드A Gated Residual Kolmogorov-Arnold Networks for Mixtures of Experts
https://github.com/remigenet/tkan
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.