Cover Image

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Pardo, Juan Carlos Climent
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Emerging Technologies Symbolic Computation
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

KERAIA: An Adaptive and Explainable Framework for Dynamic Knowledge Representation and Reasoning
by: Varey, Stephen Richard, et al.
Published: (2025)

AMS-HD: Hyperdimensional Computing for Real-Time and Energy-Efficient Acute Mountain Sickness Detection
by: Masum, Abu, et al.
Published: (2026)

Reasoning Abilities of Large Language Models: In-Depth Analysis on the Abstraction and Reasoning Corpus
by: Lee, Seungpil, et al.
Published: (2024)

Quantum Hyperdimensional Computing: a foundational paradigm for quantum neuromorphic architectures
by: Cumbo, Fabio, et al.
Published: (2025)

A Remedy to Compute-in-Memory with Dynamic Random Access Memory: 1FeFET-1C Technology for Neuro-Symbolic AI
by: Yin, Xunzhao, et al.
Published: (2024)

Scale-Dropout: Estimating Uncertainty in Deep Neural Networks Using Stochastic Scale
by: Ahmed, Soyed Tuhin, et al.
Published: (2023)

EGG-SR: Embedding Symbolic Equivalence into Symbolic Regression via Equality Graph
by: Jiang, Nan, et al.
Published: (2025)

The Neural Compiler: Program-to-Network Translation for Hybrid Scientific Machine Learning
by: Sheneman, Lucas
Published: (2026)

Towards Learning Abductive Reasoning using VSA Distributed Representations
by: Camposampiero, Giacomo, et al.
Published: (2024)

Evaluating the Energy Efficiency of NPU-Accelerated Machine Learning Inference on Embedded Microcontrollers
by: Fanariotis, Anastasios, et al.
Published: (2025)

Embedding-Aligned Language Models
by: Tennenholtz, Guy, et al.
Published: (2024)

UniSymNet: A Unified Symbolic Network Guided by Transformer
by: Li, Xinxin, et al.
Published: (2025)

Road User Classification from High-Frequency GNSS Data Using Distributed Edge Intelligence
by: Köpper, Lennart, et al.
Published: (2024)

Symbolic Foundation Regressor on Complex Networks
by: Liu, Weiting, et al.
Published: (2025)

Practical Battery Health Monitoring using Uncertainty-Aware Bayesian Neural Network
by: Zhao, Yunyi, et al.
Published: (2024)

Scheduling That Speaks: An Interpretable Programmatic Reinforcement Learning Framework
by: Hu, Chengpeng, et al.
Published: (2026)

ViSymRe: Vision Multimodal Symbolic Regression
by: Li, Da, et al.
Published: (2024)

Interactive Symbolic Regression through Offline Reinforcement Learning: A Co-Design Framework
by: Tian, Yuan, et al.
Published: (2025)

Towards Learning to Reason: Comparing LLMs with Neuro-Symbolic on Arithmetic Relations in Abstract Reasoning
by: Hersche, Michael, et al.
Published: (2024)

Coordinating Ride-Pooling with Public Transit using Reward-Guided Conservative Q-Learning: An Offline Training and Online Fine-Tuning Reinforcement Learning Framework
by: Hu, Yulong, et al.
Published: (2025)

Compressed Latent Replays for Lightweight Continual Learning on Spiking Neural Networks
by: Dequino, Alberto, et al.
Published: (2024)

Quadratic Binary Optimization with Graph Neural Networks
by: Eliasof, Moshe, et al.
Published: (2024)

The Energy Cost of Artificial Intelligence Lifecycle in Communication Networks
by: Chou, Shih-Kai, et al.
Published: (2024)

The Impact of Feature Representation on the Accuracy of Photonic Neural Networks
by: de Queiroz, Mauricio Gomes, et al.
Published: (2024)

Concurrent Self-testing of Neural Networks Using Uncertainty Fingerprint
by: Ahmed, Soyed Tuhin, et al.
Published: (2024)

SCOPE: Siamese Contrastive Operon Pair Embeddings for Functional Sequence Representation and Classification
by: Gupta, Akarsh, et al.
Published: (2026)

Multimodal Machine Learning in Mental Health: A Survey of Data, Algorithms, and Challenges
by: Sahili, Zahraa Al, et al.
Published: (2024)

Learning Interpretable Network Dynamics via Universal Neural Symbolic Regression
by: Hu, Jiao, et al.
Published: (2024)

Apriori-based Analysis of Learned Helplessness in Mathematics Tutoring: Behavioral Patterns by Level, Intervention, and Outcome
by: Miranda, John Paul P.
Published: (2026)

Cyber Physical Awareness via Intent-Driven Threat Assessment: Enhanced Space Networks with Intershell Links
by: Cetin, Selen Gecgel, et al.
Published: (2025)

Virtual Sensor for Real-Time Bearing Load Prediction Using Heterogeneous Temporal Graph Neural Networks
by: Zhao, Mengjie, et al.
Published: (2024)

Grow-Prune-Freeze Networks: Adaptive & Continual Learning Technique for Olfactory Navigation
by: France, Kordel K., et al.
Published: (2026)

Few-Shot Testing: Estimating Uncertainty of Memristive Deep Neural Networks Using One Bayesian Test Vector
by: Ahmed, Soyed Tuhin, et al.
Published: (2024)

Auditing an Automatic Grading Model with deep Reinforcement Learning
by: Condor, Aubrey, et al.
Published: (2024)

Self-Supervised Learning for Time Series: Contrastive or Generative?
by: Liu, Ziyu, et al.
Published: (2024)

Agent-centric learning: from external reward maximization to internal knowledge curation
by: Zhou, Hanqi, et al.
Published: (2025)

Auditable Unit-Aware Thresholds in Symbolic Regression via Logistic-Gated Operators
by: Deng, Ou, et al.
Published: (2025)

Unlocking the Potential of Generative AI through Neuro-Symbolic Architectures: Benefits and Limitations
by: Bougzime, Oualid, et al.
Published: (2025)

Unsupervised Symbolic Anomaly Detection
by: Hossain, Md Maruf, et al.
Published: (2026)

AlphaIntegrator: Transformer Action Search for Symbolic Integration Proofs
by: Ünsal, Mert, et al.
Published: (2024)