Cover Image

Items or Relations -- what do Artificial Neural Networks learn?

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Krause, Renate, Reimann, Stefan
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Discrete Mathematics Neural and Evolutionary Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Approximately Optimal Search on a Higher-dimensional Sliding Puzzle
by: Merleau, Nono SC, et al.
Published: (2024)

Future Directions in the Theory of Graph Machine Learning
by: Morris, Christopher, et al.
Published: (2024)

Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS
by: Guigues, Laurent
Published: (2026)

Better Neural Network Expressivity: Subdividing the Simplex
by: Bakaev, Egor, et al.
Published: (2025)

On the Depth of Monotone ReLU Neural Networks and ICNNs
by: Bakaev, Egor, et al.
Published: (2025)

Depth-Bounds for Neural Networks via the Braid Arrangement
by: Grillo, Moritz, et al.
Published: (2025)

Towards Lower Bounds on the Depth of ReLU Neural Networks
by: Hertrich, Christoph, et al.
Published: (2021)

Parameterized Hardness of Zonotope Containment and Neural Network Verification
by: Froese, Vincent, et al.
Published: (2025)

A Memetic Algorithm To Find a Hamiltonian Cycle in a Hamiltonian Graph
by: Ali, Sarwan, et al.
Published: (2024)

Metaheuristics for (Variable-Size) Mixed Optimization Problems: A Unified Taxonomy and Survey
by: Talbi, El-Ghazali
Published: (2024)

Provably Good Solutions to the Knapsack Problem via Neural Networks of Bounded Size
by: Hertrich, Christoph, et al.
Published: (2020)

Weisfeiler-Leman at the margin: When more expressivity matters
by: Franks, Billy J., et al.
Published: (2024)

Nearest Neighbor Representations of Neural Circuits
by: Kilic, Kordag Mehmet, et al.
Published: (2024)

The Computational Complexity of Counting Linear Regions in ReLU Neural Networks
by: Stargalla, Moritz, et al.
Published: (2025)

Neural Spacetimes for DAG Representation Learning
by: Borde, Haitz Sáez de Ocáriz, et al.
Published: (2024)

Neural Snowflakes: Universal Latent Graph Inference via Trainable Latent Geometries
by: Borde, Haitz Sáez de Ocáriz, et al.
Published: (2023)

A reinforcement learning guided hybrid evolutionary algorithm for the latency location routing problem
by: Zou, Yuji, et al.
Published: (2024)

Nearest Neighbor Representations of Neurons
by: Kilic, Kordag Mehmet, et al.
Published: (2024)

A Denoising Diffusion-Based Evolutionary Algorithm Framework: Application to the Maximum Independent Set Problem
by: Soler, Joan Salvà, et al.
Published: (2025)

Covered Forest: Fine-grained generalization analysis of graph neural networks
by: Vasileiou, Antonis, et al.
Published: (2024)

Decomposition Polyhedra of Piecewise Linear Functions
by: Brandenburg, Marie-Charlotte, et al.
Published: (2024)

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

Small Contributions, Small Networks: Efficient Neural Network Pruning Based on Relative Importance
by: Hussien, Mostafa, et al.
Published: (2024)

Invariant Representations with Stochastically Quantized Neural Networks
by: Cerrato, Mattia, et al.
Published: (2022)

No One-Size-Fits-All Neurons: Task-based Neurons for Artificial Neural Networks
by: Fan, Feng-Lei, et al.
Published: (2024)

Improved Forecasting Using a PSO-RDV Framework to Enhance Artificial Neural Network
by: Aribe Jr, Sales
Published: (2024)

What Planning Problems Can A Relational Neural Network Solve?
by: Mao, Jiayuan, et al.
Published: (2023)

Learning from Emergence: A Study on Proactively Inhibiting the Monosemantic Neurons of Artificial Neural Networks
by: Wang, Jiachuan, et al.
Published: (2023)

Training Neural Networks with Optimal Double-Bayesian Learning
by: Bui, Vy, et al.
Published: (2026)

Non-Spatial Hash Chemistry as a Minimalistic Open-Ended Evolutionary System
by: Sayama, Hiroki
Published: (2024)

High-level hybridization of heuristics and metaheuristics to solve symmetric TSP: a comparative study
by: Junior, Carlos Alberto da Silva, et al.
Published: (2024)

Towards evolution of Deep Neural Networks through contrastive Self-Supervised learning
by: Vinhas, Adriano, et al.
Published: (2024)

Geometric Monomial (GEM): a family of rational 2N-differentiable activation functions
by: Krause, Eylon E.
Published: (2026)

Artificial Neural Microcircuits as Building Blocks: Concept and Challenges
by: Walter, Andrew, et al.
Published: (2024)

Application of Unsupervised Artificial Neural Network (ANN) Self_Organizing Map (SOM) in Identifying Main Car Sales Factors
by: Taghavi, Mazyar
Published: (2024)

Perception-Informed Neural Networks: Beyond Physics-Informed Neural Networks
by: Mazandarani, Mehran, et al.
Published: (2025)

Restricted Bayesian Neural Network
by: Ganguly, Sourav, et al.
Published: (2024)

Deep Oscillatory Neural Network
by: Rohan, Nurani Rajagopal, et al.
Published: (2024)

Time Elastic Neural Networks
by: Marteau, Pierre-François
Published: (2024)

Polysemanticity and Capacity in Neural Networks
by: Scherlis, Adam, et al.
Published: (2022)