https://github.com/rotmanfinhub/deep-macrofin
공식 코드Deep-MacroFin: Informed Equilibrium Neural Network for Continuous Time Economic Models
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Papers presenting models which utilize Kolmogorov-Arnold networks as their underlying architecture.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Deep-MacroFin: Informed Equilibrium Neural Network for Continuous Time Economic Models
GraphKAN: Enhancing Feature Extraction with Graph Kolmogorov Arnold Networks
Path-SAM2: Transfer SAM2 for digital pathology semantic segmentation
Adaptive Training of Grid-Dependent Physics-Informed Kolmogorov-Arnold Networks
Novel Extraction of Discriminative Fine-Grained Feature to Improve Retinal Vessel Segmentation
UNetVL: Enhancing 3D Medical Image Segmentation with Chebyshev KAN Powered Vision-LSTM
Leveraging KANs For Enhanced Deep Koopman Operator Discovery
Uncertainty Quantification with Bayesian Higher Order ReLU KANs
Sparks of Quantum Advantage and Rapid Retraining in Machine Learning
TK-Mamba: Marrying KAN with Mamba for Text-Driven 3D Medical Image Segmentation
A Unified Benchmark of Federated Learning with Kolmogorov-Arnold Networks for Medical Imaging
Improving Generalizability of Kolmogorov-Arnold Networks via Error-Correcting Output Codes
X-KAN: Optimizing Local Kolmogorov-Arnold Networks via Evolutionary Rule-Based Machine Learning
U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation
U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation
Symbolic Regression with Multimodal Large Language Models and Kolmogorov Arnold Networks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.