Approximately Optimal Search on a Higher-dimensional Sliding Puzzle

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Merleau, Nono SC, O'Malley, Miguel, Roldán, Érika, Mukherjee, Sayan
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Artificial Intelligence Discrete Mathematics Machine Learning Neural and Evolutionary Computing
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

Items or Relations -- what do Artificial Neural Networks learn?
di: Krause, Renate, et al.
Pubblicazione: (2024)

Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS
di: Guigues, Laurent
Pubblicazione: (2026)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Approximation Theory for Neural Networks: Old and New
di: Mukherjee, Soumendu Sundar, et al.
Pubblicazione: (2026)

Solving QUBO on the Loihi 2 Neuromorphic Processor
di: Pierro, Alessandro, et al.
Pubblicazione: (2024)

Local search for valued constraint satisfaction parameterized by treedepth
di: Kaznatcheev, Artem
Pubblicazione: (2024)

Comparative analysis of neural network architectures for short-term FOREX forecasting
di: Zafeiriou, Theodoros, et al.
Pubblicazione: (2024)

Fitness Approximation through Machine Learning
di: Tzruia, Itai, et al.
Pubblicazione: (2023)

SEval-NAS: A Search-Agnostic Evaluation for Neural Architecture Search
di: Mih, Atah Nuh, et al.
Pubblicazione: (2026)

Deep Oscillatory Neural Network
di: Rohan, Nurani Rajagopal, et al.
Pubblicazione: (2024)

Beyond Attention: Toward Machines with Intrinsic Higher Mental States
di: Adeel, Ahsan
Pubblicazione: (2025)

On-line Policy Improvement using Monte-Carlo Search
di: Tesauro, Gerald, et al.
Pubblicazione: (2025)

MIDAS: Mosaic Input-Specific Differentiable Architecture Search
di: Subbotko, Konstanty
Pubblicazione: (2026)

Knowledge-aware Evolutionary Graph Neural Architecture Search
di: Wang, Chao, et al.
Pubblicazione: (2024)

Contrastive Concept-Tree Search for LLM-Assisted Algorithm Discovery
di: Leleu, Timothee, et al.
Pubblicazione: (2026)

Learning to Reduce Search Space for Generalizable Neural Routing Solver
di: Zhou, Changliang, et al.
Pubblicazione: (2025)

Evolutionary Architecture Search through Grammar-Based Sequence Alignment
di: Martín, Adri Gómez, et al.
Pubblicazione: (2025)

Implicit Regularization via Spectral Neural Networks and Non-linear Matrix Sensing
di: Chu, Hong T. M., et al.
Pubblicazione: (2024)

Sliding Window 3-Objective Pareto Optimization for Problems with Chance Constraints
di: Neumann, Frank, et al.
Pubblicazione: (2024)

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