arXiv cs.NE Neural and Evolutionary Computing
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[2025-11-28 Fri (UTC), no new articles found for csNE Neural and Evolutionary Computing]
November 28, 2025 at 6:38 AM
[2025-11-28 Fri (UTC), no new articles found for csNE Neural and Evolutionary Computing]
Reposted by arXiv cs.NE Neural and Evolutionary Computing
Ivan Kalthoff, Marcel Rey, Raphael Wittkowski: Acoustic neural networks: Identifying design principles and exploring physical feasibility https://arxiv.org/abs/2511.21313 https://arxiv.org/pdf/2511.21313 https://arxiv.org/html/2511.21313
November 27, 2025 at 6:35 AM
Ivan Kalthoff, Marcel Rey, Raphael Wittkowski: Acoustic neural networks: Identifying design principles and exploring physical feasibility https://arxiv.org/abs/2511.21313 https://arxiv.org/pdf/2511.21313 https://arxiv.org/html/2511.21313
Reposted by arXiv cs.NE Neural and Evolutionary Computing
Davis Brown, Jesse He, Helen Jenne, Henry Kvinge, Max Vargas: Even with AI, Bijection Discovery is Still Hard: The Opportunities and Challenges of OpenEvolve for Novel Bijection Construction https://arxiv.org/abs/2511.20987 https://arxiv.org/pdf/2511.20987 https://arxiv.org/html/2511.20987
November 27, 2025 at 6:37 AM
Davis Brown, Jesse He, Helen Jenne, Henry Kvinge, Max Vargas: Even with AI, Bijection Discovery is Still Hard: The Opportunities and Challenges of OpenEvolve for Novel Bijection Construction https://arxiv.org/abs/2511.20987 https://arxiv.org/pdf/2511.20987 https://arxiv.org/html/2511.20987
Reposted by arXiv cs.NE Neural and Evolutionary Computing
Anil K. Saini, Jose Guadalupe Hernandez, Emily F. Wong, Debanshi Misra, Jason H. Moore: Evolved SampleWeights for Bias Mitigation: Effectiveness Depends on Optimization Objectives https://arxiv.org/abs/2511.20909 https://arxiv.org/pdf/2511.20909 https://arxiv.org/html/2511.20909
November 27, 2025 at 6:33 AM
Anil K. Saini, Jose Guadalupe Hernandez, Emily F. Wong, Debanshi Misra, Jason H. Moore: Evolved SampleWeights for Bias Mitigation: Effectiveness Depends on Optimization Objectives https://arxiv.org/abs/2511.20909 https://arxiv.org/pdf/2511.20909 https://arxiv.org/html/2511.20909
Reposted by arXiv cs.NE Neural and Evolutionary Computing
David Szczecina, Nicholas Pellegrino, Paul Fieguth: Pre-train to Gain: Robust Learning Without Clean Labels https://arxiv.org/abs/2511.20844 https://arxiv.org/pdf/2511.20844 https://arxiv.org/html/2511.20844
November 27, 2025 at 6:33 AM
David Szczecina, Nicholas Pellegrino, Paul Fieguth: Pre-train to Gain: Robust Learning Without Clean Labels https://arxiv.org/abs/2511.20844 https://arxiv.org/pdf/2511.20844 https://arxiv.org/html/2511.20844
Reposted by arXiv cs.NE Neural and Evolutionary Computing
Guillaume Letellier (IIT Delhi), Siddharth Srivastava (IIT Delhi), Fr\'ed\'eric Jurie (IIT Kanpur), Gaurav Sharma (IIT Kanpur): Foundry: Distilling 3D Foundation Models for the Edge https://arxiv.org/abs/2511.20721 https://arxiv.org/pdf/2511.20721 https://arxiv.org/html/2511.20721
November 27, 2025 at 6:30 AM
Guillaume Letellier (IIT Delhi), Siddharth Srivastava (IIT Delhi), Fr\'ed\'eric Jurie (IIT Kanpur), Gaurav Sharma (IIT Kanpur): Foundry: Distilling 3D Foundation Models for the Edge https://arxiv.org/abs/2511.20721 https://arxiv.org/pdf/2511.20721 https://arxiv.org/html/2511.20721
Korcsak-Gorzo, Valverde, Stapmanns, Plesser, Dahmen, Bolten, van Albada, Diesmann: Event-driven eligibility propagation in large sparse networks: efficiency shaped by biological realism https://arxiv.org/abs/2511.21674 https://arxiv.org/pdf/2511.21674 https://arxiv.org/html/2511.21674
November 27, 2025 at 6:33 AM
Korcsak-Gorzo, Valverde, Stapmanns, Plesser, Dahmen, Bolten, van Albada, Diesmann: Event-driven eligibility propagation in large sparse networks: efficiency shaped by biological realism https://arxiv.org/abs/2511.21674 https://arxiv.org/pdf/2511.21674 https://arxiv.org/html/2511.21674
[2025-11-27 Thu (UTC), 1 new article found for csNE Neural and Evolutionary Computing]
November 27, 2025 at 6:33 AM
[2025-11-27 Thu (UTC), 1 new article found for csNE Neural and Evolutionary Computing]
Reposted by arXiv cs.NE Neural and Evolutionary Computing
Sidahmed Benabderrahmane, Talal Rahwan: From One Attack Domain to Another: Contrastive Transfer Learning with Siamese Networks for APT Detection https://arxiv.org/abs/2511.20500 https://arxiv.org/pdf/2511.20500 https://arxiv.org/html/2511.20500
November 26, 2025 at 6:34 AM
Sidahmed Benabderrahmane, Talal Rahwan: From One Attack Domain to Another: Contrastive Transfer Learning with Siamese Networks for APT Detection https://arxiv.org/abs/2511.20500 https://arxiv.org/pdf/2511.20500 https://arxiv.org/html/2511.20500
Reposted by arXiv cs.NE Neural and Evolutionary Computing
Sidahmed Benabderrahmane, James Cheney, Talal Rahwan: Ranking-Enhanced Anomaly Detection Using Active Learning-Assisted Attention Adversarial Dual AutoEncoders https://arxiv.org/abs/2511.20480 https://arxiv.org/pdf/2511.20480 https://arxiv.org/html/2511.20480
November 26, 2025 at 6:34 AM
Sidahmed Benabderrahmane, James Cheney, Talal Rahwan: Ranking-Enhanced Anomaly Detection Using Active Learning-Assisted Attention Adversarial Dual AutoEncoders https://arxiv.org/abs/2511.20480 https://arxiv.org/pdf/2511.20480 https://arxiv.org/html/2511.20480
Reposted by arXiv cs.NE Neural and Evolutionary Computing
Kochnev, Khalid, Uzun, Zhang, Dhameliya, Qin, Vysyaraju, Duvvuri, Goyal, Ignatov, Timofte: NNGPT: Rethinking AutoML with Large Language Models https://arxiv.org/abs/2511.20333 https://arxiv.org/pdf/2511.20333 https://arxiv.org/html/2511.20333
November 26, 2025 at 6:29 AM
Kochnev, Khalid, Uzun, Zhang, Dhameliya, Qin, Vysyaraju, Duvvuri, Goyal, Ignatov, Timofte: NNGPT: Rethinking AutoML with Large Language Models https://arxiv.org/abs/2511.20333 https://arxiv.org/pdf/2511.20333 https://arxiv.org/html/2511.20333
Reposted by arXiv cs.NE Neural and Evolutionary Computing
Wiktoria Agata Pawlak: Modeling Bioelectric State Transitions in Glial Cells: An ASAL-Inspired Computational Approach to Glioblastoma Initiation https://arxiv.org/abs/2511.19520 https://arxiv.org/pdf/2511.19520 https://arxiv.org/html/2511.19520
November 26, 2025 at 6:47 AM
Wiktoria Agata Pawlak: Modeling Bioelectric State Transitions in Glial Cells: An ASAL-Inspired Computational Approach to Glioblastoma Initiation https://arxiv.org/abs/2511.19520 https://arxiv.org/pdf/2511.19520 https://arxiv.org/html/2511.19520
Sian Heesom-Green, Jonathan Shock, Geoff Nitschke: Energy Costs and Neural Complexity Evolution in Changing Environments https://arxiv.org/abs/2511.20018 https://arxiv.org/pdf/2511.20018 https://arxiv.org/html/2511.20018
November 26, 2025 at 6:33 AM
Sian Heesom-Green, Jonathan Shock, Geoff Nitschke: Energy Costs and Neural Complexity Evolution in Changing Environments https://arxiv.org/abs/2511.20018 https://arxiv.org/pdf/2511.20018 https://arxiv.org/html/2511.20018
[2025-11-26 Wed (UTC), 1 new article found for csNE Neural and Evolutionary Computing]
November 26, 2025 at 6:33 AM
[2025-11-26 Wed (UTC), 1 new article found for csNE Neural and Evolutionary Computing]
Reposted by arXiv cs.NE Neural and Evolutionary Computing
Hibah Agha, Samuel Yen-Chi Chen, Huan-Hsin Tseng, Shinjae Yoo: Neural Architecture Search for Quantum Autoencoders https://arxiv.org/abs/2511.19246 https://arxiv.org/pdf/2511.19246 https://arxiv.org/html/2511.19246
November 25, 2025 at 6:50 AM
Hibah Agha, Samuel Yen-Chi Chen, Huan-Hsin Tseng, Shinjae Yoo: Neural Architecture Search for Quantum Autoencoders https://arxiv.org/abs/2511.19246 https://arxiv.org/pdf/2511.19246 https://arxiv.org/html/2511.19246
Reposted by arXiv cs.NE Neural and Evolutionary Computing
Ge, He, Mo, Meng, Yin, Zhang, Jiang, Liu: Boosting Brain-inspired Path Integration Efficiency via Learning-based Replication of Continuous Attractor Neurodynamics https://arxiv.org/abs/2511.17687 https://arxiv.org/pdf/2511.17687 https://arxiv.org/html/2511.17687
November 25, 2025 at 6:33 AM
Ge, He, Mo, Meng, Yin, Zhang, Jiang, Liu: Boosting Brain-inspired Path Integration Efficiency via Learning-based Replication of Continuous Attractor Neurodynamics https://arxiv.org/abs/2511.17687 https://arxiv.org/pdf/2511.17687 https://arxiv.org/html/2511.17687
Yuxuan Ma, Valentino Santucci, Carsten Witt: Theoretical and Empirical Analysis of Lehmer Codes to Search Permutation Spaces with Evolutionary Algorithms https://arxiv.org/abs/2511.19089 https://arxiv.org/pdf/2511.19089 https://arxiv.org/html/2511.19089
November 25, 2025 at 6:33 AM
Yuxuan Ma, Valentino Santucci, Carsten Witt: Theoretical and Empirical Analysis of Lehmer Codes to Search Permutation Spaces with Evolutionary Algorithms https://arxiv.org/abs/2511.19089 https://arxiv.org/pdf/2511.19089 https://arxiv.org/html/2511.19089
Muzakka, Shali, Suhendar, S\oller, Finsterbusch: Robust Differential Evolution via Nonlinear Population Size Reduction and Adaptive Restart: The ARRDE Algorithm https://arxiv.org/abs/2511.18429 https://arxiv.org/pdf/2511.18429 https://arxiv.org/html/2511.18429
November 25, 2025 at 6:33 AM
Muzakka, Shali, Suhendar, S\oller, Finsterbusch: Robust Differential Evolution via Nonlinear Population Size Reduction and Adaptive Restart: The ARRDE Algorithm https://arxiv.org/abs/2511.18429 https://arxiv.org/pdf/2511.18429 https://arxiv.org/html/2511.18429
Khrulkov, Galichin, Bashkirov, Vinichenko, Travkin, Alferov, Kuznetsov, Oseledets: GigaEvo: An Open Source Optimization Framework Powered By LLMs And Evolution Algorithms https://arxiv.org/abs/2511.17592 https://arxiv.org/pdf/2511.17592 https://arxiv.org/html/2511.17592
November 25, 2025 at 6:33 AM
Khrulkov, Galichin, Bashkirov, Vinichenko, Travkin, Alferov, Kuznetsov, Oseledets: GigaEvo: An Open Source Optimization Framework Powered By LLMs And Evolution Algorithms https://arxiv.org/abs/2511.17592 https://arxiv.org/pdf/2511.17592 https://arxiv.org/html/2511.17592
Yves Matanga, Yanxia Sun, Zenghui Wang: An improved clustering-based multi-swarm PSO using local diversification and topology information https://arxiv.org/abs/2511.17571 https://arxiv.org/pdf/2511.17571 https://arxiv.org/html/2511.17571
November 25, 2025 at 6:33 AM
Yves Matanga, Yanxia Sun, Zenghui Wang: An improved clustering-based multi-swarm PSO using local diversification and topology information https://arxiv.org/abs/2511.17571 https://arxiv.org/pdf/2511.17571 https://arxiv.org/html/2511.17571
Han Zhang, Qingyan Meng, Jiaqi Wang, Baiyu Chen, Zhengyu Ma, Xiaopeng Fan: Temporal-adaptive Weight Quantization for Spiking Neural Networks https://arxiv.org/abs/2511.17567 https://arxiv.org/pdf/2511.17567 https://arxiv.org/html/2511.17567
November 25, 2025 at 6:33 AM
Han Zhang, Qingyan Meng, Jiaqi Wang, Baiyu Chen, Zhengyu Ma, Xiaopeng Fan: Temporal-adaptive Weight Quantization for Spiking Neural Networks https://arxiv.org/abs/2511.17567 https://arxiv.org/pdf/2511.17567 https://arxiv.org/html/2511.17567
Yunduo Zhou, Bo Dong, Chang Li, Yuanchen Wang, Xuefeng Yin, Yang Wang, Xin Yang: Dynamic Weight Adaptation in Spiking Neural Networks Inspired by Biological Homeostasis https://arxiv.org/abs/2511.17563 https://arxiv.org/pdf/2511.17563 https://arxiv.org/html/2511.17563
November 25, 2025 at 6:33 AM
Yunduo Zhou, Bo Dong, Chang Li, Yuanchen Wang, Xuefeng Yin, Yang Wang, Xin Yang: Dynamic Weight Adaptation in Spiking Neural Networks Inspired by Biological Homeostasis https://arxiv.org/abs/2511.17563 https://arxiv.org/pdf/2511.17563 https://arxiv.org/html/2511.17563
Ngaiming Kwok: On the Structural and Statistical Flaws of the Exponential-Trigonometric Optimizer https://arxiv.org/abs/2511.17557 https://arxiv.org/pdf/2511.17557 https://arxiv.org/html/2511.17557
November 25, 2025 at 6:33 AM
Ngaiming Kwok: On the Structural and Statistical Flaws of the Exponential-Trigonometric Optimizer https://arxiv.org/abs/2511.17557 https://arxiv.org/pdf/2511.17557 https://arxiv.org/html/2511.17557
Ngaiming Kwok: Further Commentary on the Sooty Tern Optimization Algorithm and Tunicate Swarm Algorithm https://arxiv.org/abs/2511.17556 https://arxiv.org/pdf/2511.17556 https://arxiv.org/html/2511.17556
November 25, 2025 at 6:33 AM
Ngaiming Kwok: Further Commentary on the Sooty Tern Optimization Algorithm and Tunicate Swarm Algorithm https://arxiv.org/abs/2511.17556 https://arxiv.org/pdf/2511.17556 https://arxiv.org/html/2511.17556
Xianshuai Shi, Jianfeng Zhu, Leibo Liu: Gate-level boolean evolutionary geometric attention neural networks https://arxiv.org/abs/2511.17550 https://arxiv.org/pdf/2511.17550 https://arxiv.org/html/2511.17550
November 25, 2025 at 6:33 AM
Xianshuai Shi, Jianfeng Zhu, Leibo Liu: Gate-level boolean evolutionary geometric attention neural networks https://arxiv.org/abs/2511.17550 https://arxiv.org/pdf/2511.17550 https://arxiv.org/html/2511.17550