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TSkips: Efficiency Through Explicit Temporal Delay Connections in Spiking Neural Networks. arxiv.org/abs/2411.16711

EvoRL: A GPU-accelerated Framework for Evolutionary Reinforcement Learning. arxiv.org/abs/2501.15129

Brain-Inspired Online Adaptation for Remote Sensing with Spiking Neural Network. arxiv.org/abs/2409.02146

DiCE-Extended: A Robust Approach to Counterfactual Explanations in Machine Learning. arxiv.org/abs/2504.19027

Multi-parameter Control for the $(1+(\lambda,\lambda))$-GA on OneMax via Deep Reinforcement Learning. arxiv.org/abs/2505.12982

Plan for Speed: Dilated Scheduling for Masked Diffusion Language Models. arxiv.org/abs/2506.19037

Beyond Rate Coding: Surrogate Gradients Enable Spike Timing Learning in Spiking Neural Networks. arxiv.org/abs/2507.16043

Fast-VAT: Accelerating Cluster Tendency Visualization using Cython and Numba. arxiv.org/abs/2507.15904

Spiking neurons as predictive controllers of linear systems. arxiv.org/abs/2507.16495

Assessing an evolutionary search engine for small language models, prompts, and evaluation metrics. arxiv.org/abs/2506.21512

Fractional Spike Differential Equations Neural Network with Efficient Adjoint Parameters Training. arxiv.org/abs/2507.16937

Neural networks for bifurcation and linear stability analysis of steady states in partial differential equations. arxiv.org/abs/2407.19707

SpiLiFormer: Enhancing Spiking Transformers with Lateral Inhibition. arxiv.org/abs/2503.15986

A Robust, Open-Source Framework for Spiking Neural Networks on Low-End FPGAs. arxiv.org/abs/2507.07284

APTx Neuron: A Unified Trainable Neuron Architecture Integrating Activation and Computation. arxiv.org/abs/2507.14270

Tournament of Prompts: Evolving LLM Instructions Through Structured Debates and Elo Ratings. arxiv.org/abs/2506.00178

Neuromorphic Computing: A Theoretical Framework for Time, Space, and Energy Scaling. arxiv.org/abs/2507.17886

Explicit Sign-Magnitude Encoders Enable Power-Efficient Multipliers. arxiv.org/abs/2507.18179

Contraction, Criticality, and Capacity: A Dynamical-Systems Perspective on Echo-State Networks. arxiv.org/abs/2507.18467

On the Performance of Concept Probing: The Influence of the Data (Extended Version). arxiv.org/abs/2507.18550