:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Zhang, Bo
Format:	Preprint
Published:	2025
Subjects:	Neural and Evolutionary Computing Machine Learning
Online Access:	https://arxiv.org/abs/2512.09070
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A rationale from frequency perspective for grokking in training neural network
by: Zhou, Zhangchen, et al.
Published: (2024)

Continual learning with the neural tangent ensemble
by: Benjamin, Ari S., et al.
Published: (2024)

Universality of reservoir systems with recurrent neural networks
by: Yasumoto, Hiroki, et al.
Published: (2024)

Gated recurrent neural networks discover attention
by: Zucchet, Nicolas, et al.
Published: (2023)

Learning richness modulates equality reasoning in neural networks
by: Tong, William L., et al.
Published: (2025)

Learning fast changing slow in spiking neural networks
by: Capone, Cristiano, et al.
Published: (2024)

Designing deep neural networks for driver intention recognition
by: Vellenga, Koen, et al.
Published: (2024)

Investigating the generative dynamics of energy-based neural networks
by: Tausani, Lorenzo, et al.
Published: (2023)

Discovering Physics-Informed Neural Networks Model for Solving Partial Differential Equations through Evolutionary Computation
by: Zhang, Bo, et al.
Published: (2024)

Flexible inference for animal learning rules using neural networks
by: Liu, Yuhan Helena, et al.
Published: (2025)

Three factor delay learning rules for spiking neural networks
by: Vassallo, Luke, et al.
Published: (2026)

Improved weight initialization for deep and narrow feedforward neural network
by: Lee, Hyunwoo, et al.
Published: (2023)

Spike-based computation using classical recurrent neural networks
by: De Geeter, Florent, et al.
Published: (2023)

Hypercomplex neural network in time series forecasting of stock data
by: Kycia, Radosław, et al.
Published: (2024)

Optimal feature rescaling in machine learning based on neural networks
by: Vitrò, Federico Maria, et al.
Published: (2024)

Application-oriented automatic hyperparameter optimization for spiking neural network prototyping
by: Fra, Vittorio
Published: (2025)

Fast gradient-free activation maximization for neurons in spiking neural networks
by: Pospelov, Nikita, et al.
Published: (2023)

Gradient-based inference of abstract task representations for generalization in neural networks
by: Hummos, Ali, et al.
Published: (2024)

Prototype-based interpretation of the functionality of neurons in winner-take-all neural networks
by: Sabzevar, Ramin Zarei, et al.
Published: (2020)

HEATACO: Heatmap-Guided Ant Colony Decoding for Large-Scale Travelling Salesman Problems
by: Lin, Bo-Cheng, et al.
Published: (2026)

Iteration over event space in time-to-first-spike spiking neural networks for Twitter bot classification
by: Pabian, Mateusz, et al.
Published: (2024)

DGDNN: Decoupled Graph Diffusion Neural Network for Stock Movement Prediction
by: You, Zinuo, et al.
Published: (2024)

Quadratic Neuron-empowered Heterogeneous Autoencoder for Unsupervised Anomaly Detection
by: Liao, Jing-Xiao, et al.
Published: (2022)

SpikeVoice: High-Quality Text-to-Speech Via Efficient Spiking Neural Network
by: Wang, Kexin, et al.
Published: (2024)

Provably robust learning of regression neural networks using $β$-divergences
by: Ghosh, Abhik, et al.
Published: (2026)

Estimation of Distribution Algorithms with Matrix Transpose in Bayesian Learning
by: Kim, Dae-Won, et al.
Published: (2024)

Pruning-induced phases in fully-connected neural networks: the eumentia, the dementia, and the amentia
by: Pan, Haining, et al.
Published: (2026)

A Survey of Lottery Ticket Hypothesis
by: Liu, Bohan, et al.
Published: (2024)

The boundary of neural network trainability is fractal
by: Sohl-Dickstein, Jascha
Published: (2024)

Reconsidering the energy efficiency of spiking neural networks
by: Yan, Zhanglu, et al.
Published: (2024)

Fractional-order spike-timing-dependent gradient descent for multi-layer spiking neural networks
by: Yang, Yi, et al.
Published: (2024)

Interpolating neural network: A novel unification of machine learning and interpolation theory
by: Park, Chanwook, et al.
Published: (2024)

Sufficient conditions for offline reactivation in recurrent neural networks
by: Krishna, Nanda H., et al.
Published: (2025)

Activation degree thresholds and expressiveness of polynomial neural networks
by: Finkel, Bella, et al.
Published: (2024)

Experimental verification of the quantum nature of a neural network
by: Patrascu, Andrei T.
Published: (2022)

Method for noise-induced regularization in quantum neural networks
by: Kuzmin, Viacheslav, et al.
Published: (2024)

Towards a "universal translator" for neural dynamics at single-cell, single-spike resolution
by: Zhang, Yizi, et al.
Published: (2024)

Gate-level boolean evolutionary geometric attention neural networks
by: Shi, Xianshuai, et al.
Published: (2025)

An algorithmic framework for the optimization of deep neural networks architectures and hyperparameters
by: Keisler, Julie, et al.
Published: (2023)

Neuromorphic on-chip reservoir computing with spiking neural network architectures
by: Karki, Samip, et al.
Published: (2024)