Cover Image

Information-Theoretic Quality Metric of Low-Dimensional Embeddings

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gutiérrez-Bernal, Sebastián, Cobaxin, Hector Medel, González, Abiel Galindo
Format:	Preprint
Published:	2025
Subjects:	Machine Learning I.2.6; I.5.1; H.1.1
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Emergence of Quantised Representations Isolated to Anisotropic Functions
by: Bird, George
Published: (2025)

The Spotlight Resonance Method: Resolving the Alignment of Embedded Activations
by: Bird, George
Published: (2025)

Multidimensional Adaptive Coefficient for Inference Trajectory Optimization in Flow and Diffusion
by: Lee, Dohoon, et al.
Published: (2024)

Giving Sensors a Voice: Multimodal JEPA for Semantic Time-Series Embeddings
by: Dutta, Utsav, et al.
Published: (2026)

Audience Amplified: Virtual Audiences in Asynchronously Performed AR Theater
by: Kim, You-Jin, et al.
Published: (2025)

Subspace Geometry Governs Catastrophic Forgetting in Low-Rank Adaptation
by: Steele, Brady
Published: (2026)

FlightSense: An End-to-End MLOps Platform for Real-Time Flight Delay Prediction via Rotation-Chain Propagation Features and Agentic Conversational AI
by: Shelke, Aditi J., et al.
Published: (2026)

AGOP-IxG: A Gradient Covariance Filter for Local Feature Attribution on Tabular Data, with a Controlled Benchmark
by: Katakam, Raj Kiran Gupta
Published: (2026)

Nonparametric Partial Disentanglement via Mechanism Sparsity: Sparse Actions, Interventions and Sparse Temporal Dependencies
by: Lachapelle, Sébastien, et al.
Published: (2024)

Mamba base PKD for efficient knowledge compression
by: Medina, José, et al.
Published: (2025)

ZClassifier: Temperature Tuning and Manifold Approximation via KL Divergence on Logit Space
by: Yong, Shim Soon
Published: (2025)

Feature emergence via margin maximization: case studies in algebraic tasks
by: Morwani, Depen, et al.
Published: (2023)

Remaining Useful Life Estimation for Turbofan Engines: A Comparative Study of Classical, CNN, and LSTM Approaches
by: Goel, Astitva, et al.
Published: (2026)

Learning to Land Anywhere: Transferable Generative Models for Aircraft Trajectories
by: Larsen, Olav Finne Praesteng, et al.
Published: (2025)

SATORIS-N: Spectral Analysis based Traffic Observation Recovery via Informed Subspaces and Nuclear-norm minimization
by: Mohanty, Sampad, et al.
Published: (2026)

Contrastive Representation Modeling for Anomaly Detection
by: Lunardi, Willian T., et al.
Published: (2025)

AdaCap: An Adaptive Contrastive Approach for Small-Data Neural Networks
by: Belucci, Bruno, et al.
Published: (2025)

Entropy Aware Message Passing in Graph Neural Networks
by: Nazari, Philipp, et al.
Published: (2024)

Annot-Mix: Learning with Noisy Class Labels from Multiple Annotators via a Mixup Extension
by: Herde, Marek, et al.
Published: (2024)

Efficient Action-Constrained Reinforcement Learning via Acceptance-Rejection Method and Augmented MDPs
by: Hung, Wei, et al.
Published: (2025)

Structured Contrastive Learning for Interpretable Latent Representations
by: Shen, Zhengyang, et al.
Published: (2025)

Listwise Direct Preference Optimization with Multi-Dimensional Preference Mixing
by: Sun, Yuhui, et al.
Published: (2025)

Listen to the Unexpected: Self-Supervised Surprise Detection for Efficient Viewport Prediction
by: Khah, Arman Nik, et al.
Published: (2026)

Transformers Meet Relational Databases
by: Peleška, Jakub, et al.
Published: (2024)

LLM Performance Predictors: Learning When to Escalate in Hybrid Human-AI Moderation Systems
by: Bachar, Or, et al.
Published: (2026)

In-situ Autoguidance: Eliciting Self-Correction in Diffusion Models
by: Gu, Enhao, et al.
Published: (2025)

Out of Distribution Detection for Efficient Continual Learning in Quality Prediction for Arc Welding
by: Hahn, Yannik, et al.
Published: (2025)

Tricks and Plug-ins for Gradient Boosting with Transformers
by: Fang, Biyi, et al.
Published: (2025)

Theoretical Analysis of the Advantage of Deepening Neural Networks
by: Esaki, Yasushi, et al.
Published: (2020)

Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection
by: Williamson, Dane, et al.
Published: (2025)

LakeMLB: Data Lake Machine Learning Benchmark
by: Pan, Feiyu, et al.
Published: (2026)

LEFT: Learnable Fusion of Tri-view Tokens for Unsupervised Time Series Anomaly Detection
by: Wang, Dezheng, et al.
Published: (2026)

Predicting Traffic Accident Severity with Deep Neural Networks
by: Bibb, Meghan, et al.
Published: (2025)

DGTEN: A Robust Deep Gaussian based Graph Neural Network for Dynamic Trust Evaluation with Uncertainty-Quantification Support
by: Usman, Muhammad, et al.
Published: (2025)

Poison in the Well: Feature Embedding Disruption in Backdoor Attacks
by: Feng, Zhou, et al.
Published: (2025)

Improving Consistency in Large Language Models through Chain of Guidance
by: Raj, Harsh, et al.
Published: (2025)

SeizureFormer: A Transformer Model for IEA-Based Seizure Risk Forecasting
by: Feng, Tianning, et al.
Published: (2025)

QuIDE: Mastering the Quantized Intelligence Trade-off via Active Optimization
by: Jiang, Xiantao
Published: (2026)

Explicit Dropout: Deterministic Regularization for Transformer Architectures
by: Agrawal, Vidhi, et al.
Published: (2026)

Towards Automated Diagnosis of Inherited Arrhythmias: Combined Arrhythmia Classification Using Lead-Aware Spatial Attention Networks
by: Sigfstead, Sophie, et al.
Published: (2026)