:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Farrell, Kathryn T., Ziman, Kirsten, Graziano, Michael S. A.
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2411.00983
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Principal Components for Neural Network Initialization
by: Phan, Nhan, et al.
Published: (2025)

Attention Schema-based Attention Control (ASAC): A Cognitive-Inspired Approach for Attention Management in Transformers
by: Saxena, Krati, et al.
Published: (2025)

Latent Communication in Artificial Neural Networks
by: Moschella, Luca
Published: (2024)

Deeply Explainable Artificial Neural Network
by: Zucker, David
Published: (2025)

Comparison of different Artificial Neural Networks for Bitcoin price forecasting
by: Baumann, Silas, et al.
Published: (2024)

Optimizing Disease Prediction with Artificial Intelligence Driven Feature Selection and Attention Networks
by: Dhinakaran, D., et al.
Published: (2024)

The Application of Artificial Neural Network Model to Predicting the Acid Mine Drainage from Long-Term Lab Scale Kinetic Test
by: Abfertiawan, Muhammad Sonny, et al.
Published: (2024)

Full Bayesian Significance Testing for Neural Networks
by: Liu, Zehua, et al.
Published: (2024)

Testing Individual Fairness in Graph Neural Networks
by: Nasiri, Roya
Published: (2025)

Emergent Symbol-like Number Variables in Artificial Neural Networks
by: Grant, Satchel, et al.
Published: (2025)

Survey on Generalization Theory for Graph Neural Networks
by: Vasileiou, Antonis, et al.
Published: (2025)

Attention Consistency Regularization for Interpretable Early-Exit Neural Networks
by: Zhao, Yanhua
Published: (2026)

Multi-Granular Attention based Heterogeneous Hypergraph Neural Network
by: Jin, Hong, et al.
Published: (2025)

Generalized Simplicial Attention Neural Networks
by: Battiloro, Claudio, et al.
Published: (2023)

Younger: The First Dataset for Artificial Intelligence-Generated Neural Network Architecture
by: Yang, Zhengxin, et al.
Published: (2024)

EvoSchema: Towards Text-to-SQL Robustness Against Schema Evolution
by: Zhang, Tianshu, et al.
Published: (2026)

Deep Neural Networks via Complex Network Theory: a Perspective
by: La Malfa, Emanuele, et al.
Published: (2024)

Differentiable Learning of Lifted Action Schemas for Classical Planning
by: Reiter, Jonas, et al.
Published: (2026)

Low-Rank Tensor Decompositions for the Theory of Neural Networks
by: Borsoi, Ricardo, et al.
Published: (2025)

A Generalized Singular Value Theory for Neural Networks
by: Brown, Brian Charles, et al.
Published: (2026)

Artificial Intelligence-Driven Network-on-Chip Design Space Exploration: Neural Network Architectures for Design
by: N, Amogh Anshu, et al.
Published: (2025)

Unexpected Benefits of Self-Modeling in Neural Systems
by: Premakumar, Vickram N., et al.
Published: (2024)

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks
by: Fang, Taoran, et al.
Published: (2025)

Hierarchical Attention-based Graph Neural Network with Relevance-driven Pruning
by: Kum, Seungwoo
Published: (2026)

Fractional-order Jacobian Matrix Differentiation and Its Application in Artificial Neural Networks
by: zhou, Xiaojun, et al.
Published: (2025)

Dynamic Universal Approximation Theory: Foundations for Parallelism in Neural Networks
by: Wang, Wei, et al.
Published: (2024)

Bridging Theory and Practice in Link Representation with Graph Neural Networks
by: Lachi, Veronica, et al.
Published: (2025)

Massive Activations in Graph Neural Networks: Decoding Attention for Domain-Dependent Interpretability
by: Bini, Lorenzo, et al.
Published: (2024)

ENADPool: The Edge-Node Attention-based Differentiable Pooling for Graph Neural Networks
by: Zhao, Zhehan, et al.
Published: (2024)

Slumbering to Precision: Enhancing Artificial Neural Network Calibration Through Sleep-like Processes
by: Delanois, Jean Erik, et al.
Published: (2026)

Quantifying the Intrinsic Usefulness of Attributional Explanations for Graph Neural Networks with Artificial Simulatability Studies
by: Teufel, Jonas, et al.
Published: (2023)

Spectral Theory for Edge Pruning in Asynchronous Recurrent Graph Neural Networks
by: Bessone, Nicolas
Published: (2025)

Enhanced Pruning Strategy for Multi-Component Neural Architectures Using Component-Aware Graph Analysis
by: Sundaram, Ganesh, et al.
Published: (2025)

Structure of Artificial Neural Networks -- Empirical Investigations
by: Stier, Julian
Published: (2024)

Partial Differential Equations is All You Need for Generating Neural Architectures -- A Theory for Physical Artificial Intelligence Systems
by: Guo, Ping, et al.
Published: (2021)

Empirical Capacity Model for Self-Attention Neural Networks
by: Härmä, Aki, et al.
Published: (2024)

Uncertainty-Aware Deep Attention Recurrent Neural Network for Heterogeneous Time Series Imputation
by: Qian, Linglong, et al.
Published: (2024)

Local Linear Attention: An Optimal Interpolation of Linear and Softmax Attention For Test-Time Regression
by: Zuo, Yifei, et al.
Published: (2025)

SMGI: A Structural Theory of General Artificial Intelligence
by: Osmani, Aomar
Published: (2026)

Application-Specific Component-Aware Structured Pruning of Deep Neural Networks in Control via Soft Coefficient Optimization
by: Sundaram, Ganesh, et al.
Published: (2025)