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Neural & Evolutionary Computing
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324 papers, from 4 September 2026 to 5 November 2026: 324 arXiv preprints.
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Newest papers
When Does Blockwise Additivity Break? Diagnosing and Repairing the Additive Assumption in Distillation-Based Architecture Search
Blockwise distillation methods for architecture search, such as DNA, DONNA, LANA and Puzzle, score each candidate replacement block in isolation and assemble a child network by minimizing the sum of…Projection-Free Gradient Tracking Neurodynamic for Distributed Nonnegative Sparse Optimization
This paper proposes a continuous-time, projection-free neurodynamic system based on gradient tracking for distributed nonnegative sparse optimization.Invariance before structure: two modes of emergent compression in representation learning
Learned representations show striking invariance across biological and artificial neural networks, with different substrates and variations driven by drift, heterogeneity and initialisation.SwarmEvolve: Latent Agent Swarms for Evolutionary Discovery and Optimization
LLM-guided evolutionary search uses AI agents to improve programs for mathematical and computational problems by iteratively refining solutions and combining high-scoring methods.Mobility-Aware Mobile Edge Computing for Energy-Balanced Data Collection in IoT-Enabled Underwater Sensor Networks
Underwater wireless sensor networks (UWSNs) face critical challenges in energy imbalance, connectivity, and data collection due to harsh environments.Explainable Anomaly Detection in 5G Networks through Continuous Time Graphs
5G networks increasingly resemble distributed systems in their design.Multi-Resident Data Association in Smart Homes via MDP Modeling and Behavior Cloning
Ambient sensors offer a privacy-preserving solution for activity recognition in smart homes, yet they face a critical challenge in multi-resident environments known as Data Association, which aims…From Admission to Retention: Predicting Durable Offspring in Quality-Diversity Search
Automated failure discovery can be framed as a diversity problem: the objective is to expose distinct ways a system fails rather than a single critical adversarial case.SpikePose: Lightweight Video Human Pose Estimation
Efficient video human pose estimation must balance localisation accuracy, motion quality, and energy cost.Adaptive Multi Mode: Budget-Aware Routing of Optimizers By Online Landscape Probes
The best classical optimizer for a continuous black-box problem depends on its budget and landscape.Learning Time-Varying Connectomes for Stable Behavior Across Development
Neural circuits must maintain functionality to drive effective behavior while their size, topology, geometry, and intrinsic dynamics change across development.Refined CMA-ES for CEC 2026 Bound-Constrained Single-Objective Optimization
We present a simplified and parameter-adjusted variant of CMA-ES designed for the CEC 2026 Bound-Constrained Single-Objective Optimization competition.Solving the Nonlinear Westervelt Equation in Ultrasound Propagation Using Physics-Informed Neural Networks
Modeling the nonlinear acoustic wave propagation in biological tissues needs accuracy, especially in ultrasound imaging and therapeutic applications.Learning Behaviorally Relevant Dynamics in Multimodal Neural Recordings
Multimodal neural data can enable a more complete understanding of brain dynamics underlying behavior.Neural networks and games
Hopfield neural networks and noncooperative games provide seemingly different approaches to understanding how collective outcomes emerge from local interactions.Iterated Narrow Networks: Turing Completeness at Width 4 on Convex Input Spaces and the Complexity of Verification
We study the iterates of a fixed ReLU network $N$ of width 4, that is, the discrete-time system $x_{k+1} = N(x_k)$ on $[0,1]^4$.Exact Fusion of Softmax Attention Heads Can Require Exponentially Many Atoms
Fusing independently normalized attention heads can increase the number of explicit key-value entries, or atoms, needed to preserve their output.Structured Visual Landscape: Generating Preferred Representations in Biological and Artificial Neural Networks
Understanding how neurons respond to visual stimulus is an important question in both deep learning and neuroscience.Exposure-Length Trade-off Optimization for Obstacle-Aware Intrusion Paths in Heterogeneous Wireless Sensor Networks
Barrier coverage is a key paradigm for intrusion detection and surveillance in IoT-enabled heterogeneous wireless sensor networks, where monitoring quality depends not only on the existence of…HyVox: Rethinking Low-Power Voice Intelligence towards Neuromorphic-von Neumann Edge Computing
We present HyVox, a hybrid neuromorphic--von Neumann system for low-energy open-set speaker identification under tight energy budgets.