arXiv cs.NE Neural and Evolutionary Computing

Amama Pathan: Stream Neural Networks: Epoch-Free Learning with Persistent Temporal State https://arxiv.org/abs/2602.22152 https://arxiv.org/pdf/2602.22152 https://arxiv.org/html/2602.22152

Ana Rodrigues, Rui Rego: Outpatient Appointment Scheduling Optimization with a Genetic Algorithm Approach https://arxiv.org/abs/2602.21995 https://arxiv.org/pdf/2602.21995 https://arxiv.org/html/2602.21995

[2026-02-26 Thu (UTC), 2 new articles found for csNE Neural and Evolutionary Computing]

Bora, Alvarez, Chalfant, Chryssostomidis: Enhancing Heat Sink Efficiency in MOSFETs using Physics Informed Neural Networks: A Systematic Study on Coolant Velocity Estimation https://arxiv.org/abs/2602.20177 https://arxiv.org/pdf/2602.20177 https://arxiv.org/html/2602.20177

[2026-02-25 Wed (UTC), 1 new article found for csNE Neural and Evolutionary Computing]

Romain de Coudenhove (Mnemosyne, DI-ENS), Yannis Bendi-Ouis (Mnemosyne), Anthony Strock (Mnemosyne), Xavier Hinaut (Mnemosyne): Linear Reservoir: A Diagonalization-Based Optimization https://arxiv.org/abs/2602.19802 https://arxiv.org/pdf/2602.19802 https://arxiv.org/html/2602.19802

Dylan Baptiste, Ramla Saddem, Alexandre Philippot, Fran\c{c}ois Foyer: Unsupervised Anomaly Detection in NSL-KDD Using $\beta$-VAE: A Latent Space and Reconstruction Error Approach https://arxiv.org/abs/2602.19785 https://arxiv.org/pdf/2602.19785 https://arxiv.org/html/2602.19785

Chaitanya Kapoor, Alex H. Williams, Meenakshi Khosla: Partial Soft-Matching Distance for Neural Representational Comparison with Partial Unit Correspondence https://arxiv.org/abs/2602.19331 https://arxiv.org/pdf/2602.19331 https://arxiv.org/html/2602.19331

Sonu Kumar, Mohd Faisal Khan, Mukul Lokhande, Santosh Kumar Vishvakarma: CORVET: A CORDIC-Powered, Resource-Frugal Mixed-Precision Vector Processing Engine for High-Throughput AIoT applications https://arxiv.org/abs/2602.19268 https://arxiv.org/pdf/2602.19268 https://arxiv.org/html/2602.19268

Aleksei Liuliakov, Luca Hermes, Barbara Hammer: DGPO: RL-Steered Graph Diffusion for Neural Architecture Generation https://arxiv.org/abs/2602.19261 https://arxiv.org/pdf/2602.19261 https://arxiv.org/html/2602.19261

Qusai Khaled, Uzay Kaymak, Laura Genga: Alternating Bi-Objective Optimization for Explainable Neuro-Fuzzy Systems https://arxiv.org/abs/2602.19253 https://arxiv.org/pdf/2602.19253 https://arxiv.org/html/2602.19253

V\v{e}ra K\r{u}rkov\'a: Robustness of Deep ReLU Networks to Misclassification of High-Dimensional Data https://arxiv.org/abs/2602.18674 https://arxiv.org/pdf/2602.18674 https://arxiv.org/html/2602.18674

Lukas Grasse, Matthew S. Tata: Musical Training, but not Mere Exposure to Music, Drives the Emergence of Chroma Equivalence in Artificial Neural Networks https://arxiv.org/abs/2602.18635 https://arxiv.org/pdf/2602.18635 https://arxiv.org/html/2602.18635

Cemri, Agrawal, Gupta, Liu, Cheng, Mang, Naren, Erdogan, Sen, Zaharia, Dimakis, Stoica: AdaEvolve: Adaptive LLM Driven Zeroth-Order Optimization https://arxiv.org/abs/2602.20133 https://arxiv.org/pdf/2602.20133 https://arxiv.org/html/2602.20133

Andrew James Kelley: All Constant Mutation Rates for the $(1+1)$ Evolutionary Algorithm https://arxiv.org/abs/2602.18989 https://arxiv.org/pdf/2602.18989 https://arxiv.org/html/2602.18989

Gabriel Faria, Arnaldo Candido Junior: Parallelizable Neural Turing Machines https://arxiv.org/abs/2602.18508 https://arxiv.org/pdf/2602.18508 https://arxiv.org/html/2602.18508

Joseph Bingham, Saman Zonouz, Dvir Aran: Fine-Pruning: A Biologically Inspired Algorithm for Personalization of Machine Learning Models https://arxiv.org/abs/2602.18507 https://arxiv.org/pdf/2602.18507 https://arxiv.org/html/2602.18507

[2026-02-24 Tue (UTC), 4 new articles found for csNE Neural and Evolutionary Computing]

[2026-02-23 Mon (UTC), no new articles found for csNE Neural and Evolutionary Computing]

[2026-02-20 Fri (UTC), no new articles found for csNE Neural and Evolutionary Computing]

Cherish Puniani, Tushar Kumar, Arnav Bendre, Gaurav Kumar, Shree Singhi: B-DENSE: Branching For Dense Ensemble Network Learning https://arxiv.org/abs/2602.15971 https://arxiv.org/pdf/2602.15971 https://arxiv.org/html/2602.15971

Dan Adler: Evolutionary Systems Thinking -- From Equilibrium Models to Open-Ended Adaptive Dynamics https://arxiv.org/abs/2602.15957 https://arxiv.org/pdf/2602.15957 https://arxiv.org/html/2602.15957

Kaaustaaub Shankar, Kelly Cohen: Genetic Generalized Additive Models https://arxiv.org/abs/2602.15877 https://arxiv.org/pdf/2602.15877 https://arxiv.org/html/2602.15877

Leah R. M. Dickhoff, et al.: End-user validation of BRIGHT with custom-developed graphical user interface applied to cervical cancer brachytherapy https://arxiv.org/abs/2602.16321 https://arxiv.org/pdf/2602.16321 https://arxiv.org/html/2602.16321

Qi Sun, Stefan Nielsen, Rio Yokota, Yujin Tang: Evolutionary Context Search for Automated Skill Acquisition https://arxiv.org/abs/2602.16113 https://arxiv.org/pdf/2602.16113 https://arxiv.org/html/2602.16113

Mingxin Yu, Ruixiao Yang, Chuchu Fan: Heuristic Search as Language-Guided Program Optimization https://arxiv.org/abs/2602.16038 https://arxiv.org/pdf/2602.16038 https://arxiv.org/html/2602.16038

[2026-02-19 Thu (UTC), 3 new articles found for csNE Neural and Evolutionary Computing]

Sibo Zhang, Rui Jing, Liangfu Lv, Jian Zhang, Yunliang Zang: CDRL: A Reinforcement Learning Framework Inspired by Cerebellar Circuits and Dendritic Computational Strategies https://arxiv.org/abs/2602.15367 https://arxiv.org/pdf/2602.15367 https://arxiv.org/html/2602.15367

Sergio A. Ortega, Miguel A. Martin-Delgado: Reverse Delegated Training and Private Inference via Perfectly-Secure Quantum Homomorphic Encryption https://arxiv.org/abs/2602.12712 https://arxiv.org/pdf/2602.12712 https://arxiv.org/html/2602.12712

Yuning Chen, Junhua Xue, Wangqi Gu, Mingyan Shao: An effective Genetic Programming Hyper-Heuristic for Uncertain Agile Satellite Scheduling https://arxiv.org/abs/2602.15070 https://arxiv.org/pdf/2602.15070 https://arxiv.org/html/2602.15070