Neural and Evolutionary Computing Papers

New Neural and Evolutionary Computing papers from neural networks, connectionism. Thank you to arXiv for use of its open access interoperability.

[Neural and Evolutionary Computing Papers @TAL]

Quadratic integrate-and-fire neurons exhibit less fragmented loss landscapes and outperform leaky integrate-and-fire neurons in spike-based gradient descent

Carlo Wenig, Raoul-Martin Memmesheimer, Christian Klos
https://t.co/KAGFlCmU4I [𝚌𝚜.𝙽𝙴 𝚌𝚜.𝙻𝙶]

[Neural and Evolutionary Computing Papers @TAL]

Signed Spiking Neuron Enabled by an Orthogonal-Easy-Axis Magnetic Tunnel Junction

Huannan Zheng, Jingli Liu, Kezhou Yang
https://t.co/1H7zLmc8mW [𝚌𝚜.𝙽𝙴 𝚌𝚜.𝙰𝙸]

[Neural and Evolutionary Computing Papers @TAL]

PrimeSVT: An Automated Memory-aware Pruning Framework with Prioritized Compression Policy for Spiking Vision Transformers

Rachmad Vidya Wicaksana Putra, Achyuta Muthuvelan, Alberto Marchisio, Muhammad Shafique
https://t.co/4xI6DYDFEg [𝚌𝚜.𝙽𝙴 𝚌𝚜.𝙰𝙸 𝚌𝚜.𝙻𝙶]

[Neural and Evolutionary Computing Papers @TAL]

PSViT: A Methodology for Structurally Pruning Spiking Vision Transformers

Rachmad Vidya Wicaksana Putra, Achyuta Muthuvelan, Alberto Marchisio, Muhammad Shafique
https://t.co/ZrlofBbYsI [𝚌𝚜.𝙽𝙴 𝚌𝚜.𝙰𝙸 𝚌𝚜.𝙻𝙶]

[Neural and Evolutionary Computing Papers @TAL]

Spike-Aware C++ INT8 Inference for Sparse Spiking Language Models on Commodity CPUs

Ting Liu
https://t.co/lnvIpehrEZ [𝚌𝚜.𝙽𝙴 𝚌𝚜.𝙰𝙸 𝚌𝚜.𝙻𝙶]

[Neural and Evolutionary Computing Papers @TAL]

Oscillatory State-Space Models as Inductive Biases for Physics-Informed Neural PDE Solvers

Abhishek Chandra, Taniya Kapoor
https://t.co/cdguuMpuUy [𝚌𝚜.𝙽𝙴 𝚌𝚜.𝙰𝙸 𝚌𝚜.𝙻𝙶]

[Neural and Evolutionary Computing Papers @TAL]

Simultaneous Model-Based Evolution of Constants and Expression Structure in GP-GOMEA for Symbolic Regression

Johannes Koch, Tanja Alderliesten, Peter A. N. Bosman
https://t.co/pk38szk9Ks [𝚌𝚜.𝙽𝙴]

[Neural and Evolutionary Computing Papers @TAL]

Spiking and Event-driven Neuromorphic Mamba Models for Efficient Speech Recognition

Tauseef Ahmed, Tao Sun, Jeronimo Castrillon, Kanishkan Vadivel, Guangzhi Tang
https://t.co/EgdnKem2GK [𝚌𝚜.𝙽𝙴 𝚌𝚜.𝚂𝙳]
💬Accepted at IJCNN2026

[Neural and Evolutionary Computing Papers @TAL]

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA

Xiao Jin, Yongxiong Wang, Haobo Liu, Yudong Du, Yukun Du
https://t.co/VNWYaWQHGp [𝚌𝚜.𝙽𝙴 𝚌𝚜.𝙻𝙶]

[Neural and Evolutionary Computing Papers @TAL]

Dynamics and Representation Structure of Local Approximations to Gradient-Based Learning in Linear Recurrent Neural Networks

Ezekiel Williams, Alexandre Payeur, Guillaume Lajoie
https://t.co/rKQFrFm9e9 [𝚌𝚜.𝙽𝙴 𝚚-𝚋𝚒𝚘.𝙽𝙲 𝚜𝚝𝚊𝚝.𝙼𝙻]
💬Accepted to ICML 2026 as poster

[Neural and Evolutionary Computing Papers @TAL]

Evolving to the Aesthetics of a Vision-Language Model

Stephen James Krol, Jon McCormack
https://t.co/FOgi3cjcuR [𝚌𝚜.𝙽𝙴 𝚌𝚜.𝙲𝚅]

[Neural and Evolutionary Computing Papers @TAL]

Institutions and the transmission of upper-tail human capital: scientific lineages across a millennium

Hiroyuki Chuma, Kanji Otsuka, Yoichi Sato
https://t.co/y42HPQQ4Vx [𝚌𝚜.𝙽𝙴]

[Neural and Evolutionary Computing Papers @TAL]

Memristor-Based Spiking Neural Network Accelerator for Bio-inspired Interception Task

Qianhou Qu, Sheng Lu, Liuting Shang, Jaihan Utailawon, Sungyong Jung, Qilian Liang, Chenyun Pan
https://t.co/yoNZFNQBGf [𝚌𝚜.𝙽𝙴 𝚌𝚜.𝙴𝚃]

[Neural and Evolutionary Computing Papers @TAL]

Developing a novel Comorbidities Index for predicting 10-year mortality in Prostate Cancer patients: A computational data-driven approach

Davide Farinati, Francesco Barletta, Paolo Zaurito, Simone Scuderi, Nicholas Raison, …
https://t.co/IDnDvRXLVn [𝚌𝚜.𝙽𝙴]

[Neural and Evolutionary Computing Papers @TAL]

Linear Ordering Problem: Time for a Change

Fabrizio Fagiolo, Marco Baioletti, Valentino Santucci
https://t.co/Nmbf6TI49t [𝚌𝚜.𝙽𝙴 𝚌𝚜.𝙰𝙸]

[Neural and Evolutionary Computing Papers @TAL]

GP-GOMEA with GPU-Based Fitness Evaluations: Design and Performance Analysis

Jasper Post, Johannes Koch, Anton Bouter, Tanja Alderliesten, Peter A. N. Bosman
https://t.co/siR93oOGl9 [𝚌𝚜.𝙽𝙴]

[Neural and Evolutionary Computing Papers @TAL]

Deep Binarized Photonic Reservoir Computing for Ultrafast Multimedia Signal Processing

Muhammad Waqar Iqbal, Mohamad Alassir, Nicolas Marsal, Damien Rontani
https://t.co/zK1T2Bq1J8 [𝚌𝚜.𝙽𝙴 𝚙𝚑𝚢𝚜𝚒𝚌𝚜.𝚘𝚙𝚝𝚒𝚌𝚜]

[Neural and Evolutionary Computing Papers @TAL]

Selection Hyper-heuristics Can Automatically Adjust the Learning Period to Optimally Solve Pseudo-Boolean Problems

Benjamin Doerr, Pietro S. Oliveto, …
https://t.co/euhJkUjvsR [𝚌𝚜.𝙽𝙴 𝚌𝚜.𝙰𝙸 𝚌𝚜.𝙳𝚂 𝚖𝚊𝚝𝚑.𝙾𝙲]
💬To appear in "Artificial Intelligence"

[Neural and Evolutionary Computing Papers @TAL]

Evolutionary Rule Extraction from Corporate Default Prediction Models

Desirè Fabbretti, Matteo Pasquino, Elia Pacioni, Caterina Lucarelli, Davide Calvaresi
https://t.co/0WcJWKlZtR [𝚌𝚜.𝙽𝙴 𝚌𝚜.𝙰𝙸]

[Neural and Evolutionary Computing Papers @TAL]

Runtime Analysis of a Compact Genetic Algorithm on a Truly Multi-valued OneMax Function

Martin S. Krejca, Carsten Witt
https://t.co/VQ8jDD9q2w [𝚌𝚜.𝙽𝙴]