Colored Markov Random Fields for Probabilistic Topological Modeling
Fuente:
arXiv
Saved in:
| Main Authors: | Marinucci, Lorenzo, Di Nino, Leonardo, D'Acunto, Gabriele, Pandolfo, Mario Edoardo, Di Lorenzo, Paolo, Barbarossa, Sergio |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Simplicial Gaussian Models: Representation and Inference
by: Marinucci, Lorenzo, et al.
Published: (2025)
by: Marinucci, Lorenzo, et al.
Published: (2025)
Learning the Structure of Connection Graphs
by: Di Nino, Leonardo, et al.
Published: (2025)
by: Di Nino, Leonardo, et al.
Published: (2025)
Learning Network Sheaves for AI-native Semantic Communication
by: Grimaldi, Enrico, et al.
Published: (2025)
by: Grimaldi, Enrico, et al.
Published: (2025)
Networks of Causal Abstractions: A Sheaf-theoretic Framework
by: D'Acunto, Gabriele, et al.
Published: (2025)
by: D'Acunto, Gabriele, et al.
Published: (2025)
Learning Consistent Causal Abstraction Networks
by: D'Acunto, Gabriele, et al.
Published: (2026)
by: D'Acunto, Gabriele, et al.
Published: (2026)
Learning Multi-Frequency Partial Correlation Graphs
by: D'Acunto, Gabriele, et al.
Published: (2023)
by: D'Acunto, Gabriele, et al.
Published: (2023)
Learning Sheaf Laplacian Optimizing Restriction Maps
by: Di Nino, Leonardo, et al.
Published: (2025)
by: Di Nino, Leonardo, et al.
Published: (2025)
Learning Dirac Spectral Transforms for Topological Signals
by: Di Nino, Leonardo, et al.
Published: (2026)
by: Di Nino, Leonardo, et al.
Published: (2026)
Topological Adaptive Least Mean Squares Algorithms over Simplicial Complexes
by: Marinucci, Lorenzo, et al.
Published: (2025)
by: Marinucci, Lorenzo, et al.
Published: (2025)
Opportunistic Information-Bottleneck for Goal-oriented Feature Extraction and Communication
by: Binucci, Francesco, et al.
Published: (2024)
by: Binucci, Francesco, et al.
Published: (2024)
Topological Signal Processing and Learning: Recent Advances and Future Challenges
by: Isufi, Elvin, et al.
Published: (2024)
by: Isufi, Elvin, et al.
Published: (2024)
Over-the-Air Semantic Alignment with Stacked Intelligent Metasurfaces
by: Pandolfo, Mario Edoardo, et al.
Published: (2025)
by: Pandolfo, Mario Edoardo, et al.
Published: (2025)
Metasurfaces-Integrated Wireless Neural Networks for Lightweight Over-The-Air Edge Inference
by: Stylianopoulos, Kyriakos, et al.
Published: (2026)
by: Stylianopoulos, Kyriakos, et al.
Published: (2026)
RIS-aided Latent Space Alignment for Semantic Channel Equalization
by: Hüttebräucker, Tomás, et al.
Published: (2025)
by: Hüttebräucker, Tomás, et al.
Published: (2025)
SEMASIA: A Large-Scale Dataset of Semantically Structured Latent Representations
by: Pandolfo, Mario Edoardo, et al.
Published: (2026)
by: Pandolfo, Mario Edoardo, et al.
Published: (2026)
The Relativity of Causal Knowledge
by: D'Acunto, Gabriele, et al.
Published: (2025)
by: D'Acunto, Gabriele, et al.
Published: (2025)
Topological Dictionary Learning
by: Grimaldi, Enrico, et al.
Published: (2025)
by: Grimaldi, Enrico, et al.
Published: (2025)
Robust Quickest Correlation Change Detection in High-Dimensional Random Vectors
by: Alghamdi, Assma, et al.
Published: (2024)
by: Alghamdi, Assma, et al.
Published: (2024)
Topological Signal Processing for 3D Point Cloud Data
by: Cattai, Tiziana, et al.
Published: (2026)
by: Cattai, Tiziana, et al.
Published: (2026)
An efficient solution to Hidden Markov Models on trees with coupled branches
by: Vafa, Farzan, et al.
Published: (2024)
by: Vafa, Farzan, et al.
Published: (2024)
Compound Gaussian Radar Clutter Model With Positive Tempered Alpha-Stable Texture
by: Liao, Xingxing, et al.
Published: (2024)
by: Liao, Xingxing, et al.
Published: (2024)
TAD-SIE: Sample Size Estimation for Clinical Randomized Controlled Trials using a Trend-Adaptive Design with a Synthetic-Intervention-Based Estimator
by: Lala, Sayeri, et al.
Published: (2024)
by: Lala, Sayeri, et al.
Published: (2024)
Physics-Informed Topological Signal Processing for Water Distribution Network Monitoring
by: Cattai, Tiziana, et al.
Published: (2025)
by: Cattai, Tiziana, et al.
Published: (2025)
Random matrix theory improved Fréchet mean of symmetric positive definite matrices
by: Bouchard, Florent, et al.
Published: (2024)
by: Bouchard, Florent, et al.
Published: (2024)
Semantic and Goal-oriented Wireless Network Coverage: The Area of Effectiveness
by: Merluzzi, Mattia, et al.
Published: (2025)
by: Merluzzi, Mattia, et al.
Published: (2025)
Multivariate selfsimilarity: Multiscale eigen-structures for selfsimilarity parameter estimation
by: Lucas, Charles-Gérard, et al.
Published: (2023)
by: Lucas, Charles-Gérard, et al.
Published: (2023)
Cross-Spectral Analysis of Bivariate Graph Signals
by: Kim, Kyusoon, et al.
Published: (2024)
by: Kim, Kyusoon, et al.
Published: (2024)
Unlocking new capabilities in the analysis of GC$\times$GC-TOFMS data with shift-invariant multi-linearity
by: Schneide, Paul-Albert, et al.
Published: (2024)
by: Schneide, Paul-Albert, et al.
Published: (2024)
From Volterra Series to Kunchenko Stochastic Polynomials: Half a Century of Non-Gaussian Estimation Methodology
by: Zabolotnii, Serhii
Published: (2026)
by: Zabolotnii, Serhii
Published: (2026)
Multi-stage Group Testing with (r,s)-regular design Algorithms
by: Balzer, Michael
Published: (2025)
by: Balzer, Michael
Published: (2025)
Greedy Capon Beamformer
by: Ollila, Esa
Published: (2024)
by: Ollila, Esa
Published: (2024)
Error Bounds Revisited, and How to Use Bayesian Statistics While Remaining a Frequentist
by: Xu, Ning, et al.
Published: (2025)
by: Xu, Ning, et al.
Published: (2025)
Large Deviation Analysis of Score-based Hypothesis Testing
by: Diao, Enmao, et al.
Published: (2024)
by: Diao, Enmao, et al.
Published: (2024)
Aitchison Geometry on the Simplex for Uncertainty Quantification in Bayesian Hyperspectral Image Unmixing
by: Blondel, Hector, et al.
Published: (2026)
by: Blondel, Hector, et al.
Published: (2026)
Uncertainty-Aware Bayes' Rule and Its Applications
by: Wang, Shixiong
Published: (2023)
by: Wang, Shixiong
Published: (2023)
Efficient Implementations of Extended Object PMBM Filters with Blocked Gibbs Sampling
by: Xia, Yuxuan, et al.
Published: (2026)
by: Xia, Yuxuan, et al.
Published: (2026)
Inferring Dynamic Hidden Graph Structure in Heterogeneous Correlated Time Series
by: Mohan, Jeshwanth, et al.
Published: (2025)
by: Mohan, Jeshwanth, et al.
Published: (2025)
Tractable Approximation of Labeled Multi-Object Posterior Densities
by: Nguyen, Thi Hong Thai, et al.
Published: (2025)
by: Nguyen, Thi Hong Thai, et al.
Published: (2025)
Computational and Numerical Properties of a Broadband Subspace-Based Likelihood Ratio Test
by: Pahalson, Cornelius A. H., et al.
Published: (2024)
by: Pahalson, Cornelius A. H., et al.
Published: (2024)
Conditional Score Learning for Quickest Change Detection in Markov Transition Kernels
by: Chen, Wuxia, et al.
Published: (2025)
by: Chen, Wuxia, et al.
Published: (2025)
Similar Items
-
Simplicial Gaussian Models: Representation and Inference
by: Marinucci, Lorenzo, et al.
Published: (2025) -
Learning the Structure of Connection Graphs
by: Di Nino, Leonardo, et al.
Published: (2025) -
Learning Network Sheaves for AI-native Semantic Communication
by: Grimaldi, Enrico, et al.
Published: (2025) -
Networks of Causal Abstractions: A Sheaf-theoretic Framework
by: D'Acunto, Gabriele, et al.
Published: (2025) -
Learning Consistent Causal Abstraction Networks
by: D'Acunto, Gabriele, et al.
Published: (2026)