Copertina

Architectural Scaling Surpass Basis Complexity? Efficient KANs with Single-Parameter Design

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Chen, Zhijie, Zhang, Xinglin, Guo, Hongshu, Gong, Yue-Jiao
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

LArctan-SKAN: Simple and Efficient Single-Parameterized Kolmogorov-Arnold Networks using Learnable Trigonometric Function
di: Chen, Zhijie, et al.
Pubblicazione: (2024)

A Novel Two-Phase Cooperative Co-evolution Framework for Large-Scale Global Optimization with Complex Overlapping
di: Qiu, Wenjie, et al.
Pubblicazione: (2025)

Deep Reinforcement Learning for Dynamic Algorithm Selection: A Proof-of-Principle Study on Differential Evolution
di: Guo, Hongshu, et al.
Pubblicazione: (2024)

Auto-configuring Exploration-Exploitation Tradeoff in Evolutionary Computation via Deep Reinforcement Learning
di: Ma, Zeyuan, et al.
Pubblicazione: (2024)

RLEMMO: Evolutionary Multimodal Optimization Assisted By Deep Reinforcement Learning
di: Lian, Hongqiao, et al.
Pubblicazione: (2024)

Evolutionary System 2 Reasoning: An Empirical Proof
di: Ma, Zeyuan, et al.
Pubblicazione: (2025)

DesignX: Human-Competitive Algorithm Designer for Black-Box Optimization
di: Guo, Hongshu, et al.
Pubblicazione: (2025)

Are KANs Effective for Multivariate Time Series Forecasting?
di: Han, Xiao, et al.
Pubblicazione: (2024)

Rethinking the Function of Neurons in KANs
di: Altarabichi, Mohammed Ghaith
Pubblicazione: (2024)

Evolutionary Neural Architecture Search with Dual Contrastive Learning
di: Zhang, Xian-Rong, et al.
Pubblicazione: (2025)

LLaMoCo: Instruction Tuning of Large Language Models for Optimization Code Generation
di: Ma, Zeyuan, et al.
Pubblicazione: (2024)

Autocorrelation Reintroduces Spectral Bias in KANs for Time Series Forecasting
di: Zeng, Chen, et al.
Pubblicazione: (2026)

Semantic-guided LoRA Parameters Generation
di: Li, Miaoge, et al.
Pubblicazione: (2025)

DropKAN: Regularizing KANs by masking post-activations
di: Altarabichi, Mohammed Ghaith
Pubblicazione: (2024)

Kolmogorov Arnold Networks (KANs) for Imbalanced Data -- An Empirical Perspective
di: Yadav, Pankaj, et al.
Pubblicazione: (2025)

Advancing Complex Medical Communication in Arabic with Sporo AraSum: Surpassing Existing Large Language Models
di: Lee, Chanseo, et al.
Pubblicazione: (2024)

Kolmogorov-Arnold Networks (KANs) for Time Series Analysis
di: Vaca-Rubio, Cristian J., et al.
Pubblicazione: (2024)

Suitability of KANs for Computer Vision: A preliminary investigation
di: Azam, Basim, et al.
Pubblicazione: (2024)

Advancing CMA-ES with Learning-Based Cooperative Coevolution for Scalable Optimization
di: Guo, Hongshu, et al.
Pubblicazione: (2025)

From General to Targeted Rewards: Surpassing GPT-4 in Open-Ended Long-Context Generation
di: Guo, Zhihan, et al.
Pubblicazione: (2025)

ASTRA: Adaptive Semantic Tree Reasoning Architecture for Complex Table Question Answering
di: Guo, Xiaoke, et al.
Pubblicazione: (2026)

Efficient Orchestrated AI Workflows Execution on Scale-out Spatial Architecture
di: Deng, Jinyi, et al.
Pubblicazione: (2024)

Kunlun: Establishing Scaling Laws for Massive-Scale Recommendation Systems through Unified Architecture Design
di: Hou, Bojian, et al.
Pubblicazione: (2026)

F-KANs: Federated Kolmogorov-Arnold Networks
di: Zeydan, Engin, et al.
Pubblicazione: (2024)

Mixture-of-Experts Can Surpass Dense LLMs Under Strictly Equal Resource
di: Li, Houyi, et al.
Pubblicazione: (2025)

Every Rollout Counts: Optimal Resource Allocation for Efficient Test-Time Scaling
di: Wang, Xinglin, et al.
Pubblicazione: (2025)

FedGAI: Federated Style Learning with Cloud-Edge Collaboration for Generative AI in Fashion Design
di: Wu, Mingzhu, et al.
Pubblicazione: (2025)

Lateral Tree-of-Thoughts Surpasses ToT by Incorporating Logically-Consistent, Low-Utility Candidates
di: Madahar, Abhinav
Pubblicazione: (2025)

Dynamic Task Vector Grouping for Efficient Multi-Task Prompt Tuning
di: Zhang, Pieyi, et al.
Pubblicazione: (2025)

P-Guide: Parameter-Efficient Prior Steering for Single-Pass CFG Inference
di: Peng, Xin, et al.
Pubblicazione: (2026)

Distill Not Only Data but Also Rewards: Can Smaller Language Models Surpass Larger Ones?
di: Zhang, Yudi, et al.
Pubblicazione: (2025)

Bayesian Kolmogorov Arnold Networks (Bayesian_KANs): A Probabilistic Approach to Enhance Accuracy and Interpretability
di: Hassan, Masoud Muhammed
Pubblicazione: (2024)

Uncertainty Quantification with Bayesian Higher Order ReLU KANs
di: Giroux, James, et al.
Pubblicazione: (2024)

FractalCloud: A Fractal-Inspired Architecture for Efficient Large-Scale Point Cloud Processing
di: Fu, Yuzhe, et al.
Pubblicazione: (2025)

KAN You See It? KANs and Sentinel for Effective and Explainable Crop Field Segmentation
di: Cambrin, Daniele Rege, et al.
Pubblicazione: (2024)

A Primer on Kolmogorov-Arnold Networks (KANs) for Probabilistic Time Series Forecasting
di: Vaca-Rubio, Cristian J., et al.
Pubblicazione: (2025)

Bridging Foundation Models and Efficient Architectures: A Modular Brain Imaging Framework with Local Masking and Pretrained Representation Learning
di: Wang, Yanwen, et al.
Pubblicazione: (2025)

Explain Less, Understand More: Jargon Detection via Personalized Parameter-Efficient Fine-tuning
di: Wu, Bohao, et al.
Pubblicazione: (2025)

ConfigX: Modular Configuration for Evolutionary Algorithms via Multitask Reinforcement Learning
di: Guo, Hongshu, et al.
Pubblicazione: (2024)

SyncSpeech: Efficient and Low-Latency Text-to-Speech based on Temporal Masked Transformer
di: Sheng, Zhengyan, et al.
Pubblicazione: (2025)