Cover Image

Entropy-Based Characterisation of the Polarised Regime in Latent Variable Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Clapham, Peter, Bonheme, Lisa, Grzes, Marek
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Structure learning with Temporal Gaussian Mixture for model-based Reinforcement Learning
by: Champion, Théophile, et al.
Published: (2024)

Particle Dynamics for Latent-Variable Energy-Based Models
by: Tang, Shiqin, et al.
Published: (2025)

Transfer Learning for Latent Variable Network Models
by: Jalan, Akhil, et al.
Published: (2024)

Deep Latent Variable Modeling of Physiological Signals
by: Vo, Khuong
Published: (2024)

Traceable Latent Variable Discovery Based on Multi-Agent Collaboration
by: Du, Huaming, et al.
Published: (2026)

Preventing Model Collapse in Gaussian Process Latent Variable Models
by: Li, Ying, et al.
Published: (2024)

Latent Variable Causal Discovery under Selection Bias
by: Dai, Haoyue, et al.
Published: (2025)

Identifying Metric Structures of Deep Latent Variable Models
by: Syrota, Stas, et al.
Published: (2025)

Accurate Coresets for Latent Variable Models and Regularized Regression
by: Ranjan, Sanskar, et al.
Published: (2024)

Weighted-Sum of Gaussian Process Latent Variable Models
by: Odgers, James, et al.
Published: (2024)

Latent Variable Modeling for Robust Causal Effect Estimation
by: Morimura, Tetsuro, et al.
Published: (2025)

Distributional Equivalence in Linear Non-Gaussian Latent-Variable Cyclic Causal Models: Characterization and Learning
by: Dai, Haoyue, et al.
Published: (2026)

Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information
by: Gao, Jingyi, et al.
Published: (2025)

Latent Variable Estimation in Bayesian Black-Litterman Models
by: Lin, Thomas Y. L., et al.
Published: (2025)

An Analysis of Attention via the Lens of Exchangeability and Latent Variable Models
by: Zhang, Yufeng, et al.
Published: (2022)

Scalable Random Feature Latent Variable Models
by: Li, Ying, et al.
Published: (2024)

Identifiable Deep Latent Variable Models for MNAR Data
by: Xie, Huiming, et al.
Published: (2026)

Further Understanding of a Local Gaussian Process Approximation: Characterising Convergence in the Finite Regime
by: Stephenson, Anthony, et al.
Published: (2024)

Trek-Based Parameter Identification for Linear Causal Models With Arbitrarily Structured Latent Variables
by: Sturma, Nils, et al.
Published: (2025)

Latent Variable Sequence Identification for Cognitive Models with Neural Network Estimators
by: Pan, Ti-Fen, et al.
Published: (2024)

Bayesian Active Learning for Discrete Latent Variable Models
by: Jha, Aditi, et al.
Published: (2022)

Alternatives of Unsupervised Representations of Variables on the Latent Space
by: Glushkovsky, Alex
Published: (2024)

MACE-POLAR-1: A Polarisable Electrostatic Foundation Model for Molecular Chemistry
by: Batatia, Ilyes, et al.
Published: (2026)

Gaussian Process Latent Variable Modeling for Few-shot Time Series Forecasting
by: Cheng, Yunyao, et al.
Published: (2022)

Disentanglement Analysis in Deep Latent Variable Models Matching Aggregate Posterior Distributions
by: Saha, Surojit, et al.
Published: (2025)

Inverse Optimization Latent Variable Models for Learning Costs Applied to Route Problems
by: Lahoud, Alan A., et al.
Published: (2025)

A Latent Variable Framework for Scaling Laws in Large Language Models
by: Cai, Peiyao, et al.
Published: (2025)

Learning Latent Variable Models via Jarzynski-adjusted Langevin Algorithm
by: Cuin, James, et al.
Published: (2025)

Scaling Continuous Latent Variable Models as Probabilistic Integral Circuits
by: Gala, Gennaro, et al.
Published: (2024)

A Discriminative Latent-Variable Model for Bilingual Lexicon Induction
by: Ruder, Sebastian, et al.
Published: (2018)

Efficient Latent Variable Causal Discovery: Combining Score Search and Targeted Testing
by: Ramsey, Joseph, et al.
Published: (2025)

Transformed Latent Variable Multi-Output Gaussian Processes
by: Jiang, Xiaoyu, et al.
Published: (2026)

Latent-Variable Learning of SPDEs via Wiener Chaos
by: Zeng, Sebastian, et al.
Published: (2026)

Adaptive Robust Learning using Latent Bernoulli Variables
by: Karakulev, Aleksandr, et al.
Published: (2023)

A Unified Theory of Exact Inference and Learning in Exponential Family Latent Variable Models
by: Sokoloski, Sacha
Published: (2024)

General Machine Learning: Theory for Learning Under Variable Regimes
by: Osmani, Aomar
Published: (2026)

DyGnROLE: Modeling Asymmetry in Dynamic Graphs with Node-Role-Oriented Latent Encoding
by: Bonnet, Tyler, et al.
Published: (2026)

Emergent World Models and Latent Variable Estimation in Chess-Playing Language Models
by: Karvonen, Adam
Published: (2024)

FM-FoG: A Real-Time Foundation Model-based Wearable System for Freezing-of-Gait Mitigation
by: Chi, Chuntian, et al.
Published: (2025)

Probabilistic Latent Variable Modeling for Dynamic Friction Identification and Estimation
by: Vantilborgh, Victor, et al.
Published: (2024)