Sigur de Vries, Sander W. Keemink, Marcel A. J. van Gerven: Symbolic Discovery of Stochastic Differential Equations with Genetic Programming https://arxiv.org/abs/2603.09597 https://arxiv.org/pdf/2603.09597 https://arxiv.org/html/2603.09597
@csne-bot
Unofficial bot by @vele.bsky.social w/ http://github.com/so-okada/bXiv https://arxiv.org/list/cs.NE/new List https://bsky.app/profile/vele.bsky.social/lists/3lim7ccweqo2j ModList https://bsky.app/profile/vele.bsky.social/lists/3lim3qnexsw2g
Sigur de Vries, Sander W. Keemink, Marcel A. J. van Gerven: Symbolic Discovery of Stochastic Differential Equations with Genetic Programming https://arxiv.org/abs/2603.09597 https://arxiv.org/pdf/2603.09597 https://arxiv.org/html/2603.09597
Changliang Wei, Yangyang Wang, Xueyu Zhu: Robust Parameter and State Estimation in Multiscale Neuronal Systems Using Physics-Informed Neural Networks https://arxiv.org/abs/2603.08742 https://arxiv.org/pdf/2603.08742 https://arxiv.org/html/2603.08742
Hasi Hays: Hebbian-Oscillatory Co-Learning https://arxiv.org/abs/2603.08731 https://arxiv.org/pdf/2603.08731 https://arxiv.org/html/2603.08731
Effiong Blessing, Chiung-Yi Tseng, Isaac Nkrumah, Junaid Rehman: Memory-Augmented Spiking Networks: Synergistic Integration of Complementary Mechanisms for Neuromorphic Vision https://arxiv.org/abs/2603.08730 https://arxiv.org/pdf/2603.08730 https://arxiv.org/html/2603.08730
[2026-03-11 Wed (UTC), 4 new articles found for csNE Neural and Evolutionary Computing]
Jonathan Wurth, Helena Stegherr, Neele Kemper, Michael Heider, J\"org H\"ahner: Pareto-Optimal Anytime Algorithms via Bayesian Racing https://arxiv.org/abs/2603.08493 https://arxiv.org/pdf/2603.08493 https://arxiv.org/html/2603.08493
James Ashford, et al.: Evolving Symbiosis, from Barricelli's Legacy to Collective Intelligence: a simulated and conceptual approach https://arxiv.org/abs/2603.08463 https://arxiv.org/pdf/2603.08463 https://arxiv.org/html/2603.08463
Xiaodan Chen, Alexandre Pitti, Mathias Quoy, Nancy Chen: Structure from Rank: Rank-Order Coding as a Bridge from Sequence to Structure https://arxiv.org/abs/2603.08380 https://arxiv.org/pdf/2603.08380 https://arxiv.org/html/2603.08380
Xuanfeng Li, Shengcai Liu, Wenjie Chen, Yew-Soon Ong, Ke Tang: Multi-Objective Evolutionary Optimization of Chance-Constrained Multiple-Choice Knapsack Problems with Implicit Probability Dist... https://arxiv.org/abs/2603.08209 https://arxiv.org/pdf/2603.08209 https://arxiv.org/html/2603.08209
Seyed Jalaleddin Mousavirad, Parisa Ramezani, Mattias O'Nils, Emil Bj\"ornson: A Primer on Evolutionary Frameworks for Near-Field Multi-Source Localization https://arxiv.org/abs/2603.07676 https://arxiv.org/pdf/2603.07676 https://arxiv.org/html/2603.07676
Xiaoshan Zhou, Carol C. Menassa, Vineet R. Kamat: Self-Supervised Evolutionary Learning of Neurodynamic Progression and Identity Manifolds from EEG During Safety-Critical Decision Making https://arxiv.org/abs/2603.07334 https://arxiv.org/pdf/2603.07334 https://arxiv.org/html/2603.07334
Shaohua Yu, Tianyu Chen, Linyan Liu: Large Language Model-Driven Full-Component Evolution of Adaptive Large Neighborhood Search https://arxiv.org/abs/2603.06996 https://arxiv.org/pdf/2603.06996 https://arxiv.org/html/2603.06996
Heng Zhang: RECAP: Local Hebbian Prototype Learning as a Self-Organizing Readout for Reservoir Dynamics https://arxiv.org/abs/2603.06639 https://arxiv.org/pdf/2603.06639 https://arxiv.org/html/2603.06639
Ange Valli (L2S), Siham Tassouli (OPTIM), Abdel Lisser (L2S): Distributionally Robust Geometric Joint Chance-Constrained Optimization: Neurodynamic Approaches https://arxiv.org/abs/2603.06597 https://arxiv.org/pdf/2603.06597 https://arxiv.org/html/2603.06597
[2026-03-10 Tue (UTC), 9 new articles found for csNE Neural and Evolutionary Computing]
Shaokuan Wang, Pengshan Cui, Yining Qian, An-Yang Lu, Xianpeng Wang: Enhanced Protein Intrinsic Disorder Prediction Through Dual-View Multiscale Features and Multi-objective Evolutionary Algo... https://arxiv.org/abs/2603.06292 https://arxiv.org/pdf/2603.06292 https://arxiv.org/html/2603.06292
Alexis Kafantaris: Looking Through Glass Box https://arxiv.org/abs/2603.06272 https://arxiv.org/pdf/2603.06272 https://arxiv.org/html/2603.06272
[2026-03-09 Mon (UTC), 2 new articles found for csNE Neural and Evolutionary Computing]
[2026-03-06 Fri (UTC), no new articles found for csNE Neural and Evolutionary Computing]
[2026-03-05 Thu (UTC), no new articles found for csNE Neural and Evolutionary Computing]
Simone Betteti, Giacomo Baggio, Sandro Zampieri: A Dynamical Theory of Sequential Retrieval in Input-Driven Hopfield Networks https://arxiv.org/abs/2603.03201 https://arxiv.org/pdf/2603.03201 https://arxiv.org/html/2603.03201
[2026-03-04 Wed (UTC), 1 new article found for csNE Neural and Evolutionary Computing]
Arnaud Guillin (LMBP), Boris Nectoux (LMBP), Paul Stos (LMBP): Uniform-in-time concentration in two-layer neural networks via transportation inequalities https://arxiv.org/abs/2603.01842 https://arxiv.org/pdf/2603.01842 https://arxiv.org/html/2603.01842
Paras Sharma: Pulse-Driven Neural Architecture: Learnable Oscillatory Dynamics for Robust Continuous-Time Sequence Processing https://arxiv.org/abs/2603.00153 https://arxiv.org/pdf/2603.00153 https://arxiv.org/html/2603.00153
Elnour, Saleh, Atat, Huo, Takiddin, Ismail, Kurban, Davis, Serpedin: Joint Sensor Deployment and Physics-Informed Graph Transformer for Smart Grid Attack Detection https://arxiv.org/abs/2603.00085 https://arxiv.org/pdf/2603.00085 https://arxiv.org/html/2603.00085
[2026-03-03 Tue (UTC), 3 new articles found for csNE Neural and Evolutionary Computing]
Andrew James Kelley: All Mutation Rates $c/n$ for the $(1+1)$ Evolutionary Algorithm https://arxiv.org/abs/2602.23573 https://arxiv.org/pdf/2602.23573 https://arxiv.org/html/2602.23573
George Bird: On De-Individuated Neurons: Continuous Symmetries Enable Dynamic Topologies https://arxiv.org/abs/2602.23405 https://arxiv.org/pdf/2602.23405 https://arxiv.org/html/2602.23405
[2026-03-02 Mon (UTC), 2 new articles found for csNE Neural and Evolutionary Computing]
Sakshi Aggarwal, Mudasir Ganaie, Mukesh Saini: Communication-Guided Multi-Mutation Differential Evolution for Crop Model Calibration https://arxiv.org/abs/2602.22804 https://arxiv.org/pdf/2602.22804 https://arxiv.org/html/2602.22804