Cover Image

Learning the Influence Graph of a Markov Process that Randomly Resets to the Past

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Senthil, Sudharsan, Chatterjee, Avhishek
Format:	Preprint
Published:	2025
Subjects:	Information Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning the Influence Graph of a High-Dimensional Markov Process with Memory
by: Bagewadi, Smita, et al.
Published: (2024)

Maximizing Qubit Throughput under Buffer Decoherence and Variability in Generation
by: Priyanka, Padma, et al.
Published: (2026)

Learning Robust Representations for Communications over Noisy Channels
by: Senthil, Sudharsan, et al.
Published: (2024)

Learning Robust Representations for Communications over Interference-limited Channels
by: Paul, Shubham, et al.
Published: (2024)

Expander qLDPC Codes against Long-range Correlated Errors in Memory
by: Kashtikar, Yash Deepak, et al.
Published: (2025)

Abstract Markov Random Fields
by: Lang, Leon, et al.
Published: (2024)

On the Entropy of a Random Geometric Graph
by: Vippathalla, Praneeth Kumar, et al.
Published: (2026)

Constant Weight Polar Codes through Periodic Markov Processes
by: Shuval, Boaz, et al.
Published: (2025)

Sampling to Achieve the Goal: An Age-aware Remote Markov Decision Process
by: Li, Aimin, et al.
Published: (2024)

Entropy of Exchangeable Random Graphs
by: Skeja, Anda, et al.
Published: (2023)

Relatively-Secure LLM-Based Steganography via Constrained Markov Decision Processes
by: Huang, Yu-Shin, et al.
Published: (2025)

Algorithmic Randomness in Continuous-Time Markov Chains
by: Huang, Xiang, et al.
Published: (2019)

Graph Attention Network for Node Regression on Random Geometric Graphs with Erdős--Rényi contamination
by: Laha, Somak, et al.
Published: (2026)

Perfect Recovery for Random Geometric Graph Matching with Shallow Graph Neural Networks
by: Liu, Suqi, et al.
Published: (2024)

Thresholds for Reconstruction of Random Hypergraphs From Graph Projections
by: Bresler, Guy, et al.
Published: (2025)

Searching for a Hidden Markov Anomaly over Multiple Processes
by: Citron, Levli, et al.
Published: (2025)

Fastest Mixing Reversible Markov Chain: Clique Lifted Graphs and Subgraphs
by: Jafarizadeh, Saber
Published: (2025)

Decomposing Multivariate Information Rates in Networks of Random Processes
by: Sparacino, Laura, et al.
Published: (2025)

Testing Dependency of Weighted Random Graphs
by: Oren, Mor, et al.
Published: (2024)

Shared Information for a Markov Chain on a Tree
by: Bhattacharya, Sagnik, et al.
Published: (2023)

Finite-Graph-Cover-Based Analysis of Factor Graphs in Classical and Quantum Information Processing Systems
by: Huang, Yuwen
Published: (2024)

Quadratic Residue Codes over $\mathbb{Z}_{121}$
by: Chatterjee, Tapas, et al.
Published: (2026)

Partial and Exact Recovery of a Random Hypergraph from its Graph Projection
by: Bresler, Guy, et al.
Published: (2025)

Perfect Secret Key Generation for a class of Hypergraphical Sources
by: Mukherjee, Manuj, et al.
Published: (2026)

On noisy duplication channels with Markov sources
by: McBain, Brendon, et al.
Published: (2024)

From Markov to Laplace: How Mamba In-Context Learns Markov Chains
by: Bondaschi, Marco, et al.
Published: (2025)

Entropy and Distributed Source Coding of Connected Soft Random Geometric Graphs
by: Baker, Oliver, et al.
Published: (2026)

Detecting Arbitrary Planted Subgraphs in Random Graphs
by: Elimelech, Dor, et al.
Published: (2025)

Semi-Markov Decision Process Framework for Age of Incorrect Information Minimization
by: Cosandal, Ismail, et al.
Published: (2025)

Information Geometry Approach to Parameter Estimation in Hidden Markov Models
by: Hayashi, Masahito
Published: (2017)

Graph Reconstruction from Noisy Random Subgraphs
by: McGregor, Andrew, et al.
Published: (2024)

Empirical Coordination over Markov Channel with Independent Source
by: Zhao, Mengyuan, et al.
Published: (2026)

Virtual Quantum Markov Chains
by: Chen, Yu-Ao, et al.
Published: (2023)

Graph Representation Learning for Wireless Communications
by: Mohsenivatani, Maryam, et al.
Published: (2022)

On Confidence Sequences for Bounded Random Processes via Universal Gambling Strategies
by: Ryu, J. Jon, et al.
Published: (2022)

Latent Representation and Simulation of Markov Processes via Time-Lagged Information Bottleneck
by: Federici, Marco, et al.
Published: (2023)

Actions Speak Louder Than Words: Rate-Reward Trade-off in Markov Decision Processes
by: Wu, Haotian, et al.
Published: (2025)

Geometry and Duality of Alternating Markov Chains
by: Mithal, Deven, et al.
Published: (2024)

A Markov-Chain Characterization of Finite-State Dimension and a Generalization of Agafonov's Theorem
by: Bienvenu, Laurent, et al.
Published: (2025)

Pareto-type finite-block optimality for source codes: a constrained Markov example
by: Della Fiore, Stefano
Published: (2026)