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On Speed and Advantage : Results in Information Velocity and Monitoring Problems

R. Inovan / E. Telatar (Dir.)

Lausanne, EPFL, 2024.

On Speed and Advantage : Results in Information Velocity and Monitoring Problems

Distributed Lossy Computation with Structured Codes: From Discrete to Continuous Sources

Personalized Privacy-Preserving Distributed Learning on Heterogeneous Data

Beyond worst-case analysis, with or without predictions

Privacy in Retrieval, Computing, and Learning

Private Retrieval, Computing, and Learning: Recent Progress and Future Challenges

The Gray-Wyner Network and Wyner’s Common Information for Gaussian Sources

A Johnson-Lindenstrauss Framework for Randomly Initialized CNNs

A Unified Discretization Approach to Compute–Forward: From Discrete to Continuous Inputs

From Generalisation Error to Transportation-cost Inequalities and Back

Shannon Bounds on Lossy Gray-Wyner Networks

Alpha-NML Universal Predictors

On Sibson’s α-Mutual Information

Finite Littlestone Dimension Implies Finite Information Complexity

Lower-bounds on the Bayesian Risk in Estimation Procedures via f–Divergences

The Price of Distributed: Rate Loss in the CEO Problem

Differential Entropy of the Conditional Expectation Under Additive Gaussian Noise

A Functional Perspective on Information Measures

Symmetry in design and decoding of polar-like codes

Common Information Components Analysis

Differential Entropy of the Conditional Expectation under Gaussian Noise

Learning, compression, and leakage: Minimising classification error via meta-universal compression principles

A Discretization Approach to Compute-Forward

Lower bound on relaxed Wyner’s Common Information

Lower-bounds on the Bayesian Risk in estimation procedures via Sibson’s alpha-Mutual Information

On conditional Sibson’s alpha-Mutual Information

Biologically plausible unsupervised learning in shallow and deep neural networks

Sampling Geometry and Colour

On Calculating the Minimum Rate for the Cooperative Data Exchange Problem Over Fully Connected Networks

Generalization Error Bounds Via Rényi-, f-Divergences and Maximal Leakage

Locally Differentially-Private Randomized Response for Discrete Distribution Learning

Feedback and Common Information: Bounds and Capacity for Gaussian Networks

Compute-Forward for DMCs: Simultaneous Decoding of Multiple Combinations

Caching (Bivariate) Gaussians

Sum-Rate Capacity for Symmetric Gaussian Multiple Access Channels With Feedback

Robust Generalization via $\alpha$-Mutual Information

Common Information Components Analysis

Single-server Multi-message Private Information Retrieval with Side Information: the General Cases

Successive Refinement to Caching for Dynamic Requests

Robust Generalization via f−Mutual Information

The Gaussian lossy Gray-Wyner network

Converse for Multi-Server Single-Message PIR with Side Information

Cooperative Data Exchange and Private Information Retrieval

Physical Layer Aspects of LoRa and Full-Duplex Wireless Transceivers

Point, Plane, Set, Match! Winning the Echo Grand SLAM

The Optimal Memory-Rate Trade-Off for the Non-Uniform Centralized Caching Problem With Two Files Under Uncoded Placement

Learning and Adaptive Data Analysis via Maximal Leakage

Relaxed Wyner’s Common Information

From adult dentate gyrus neurogenesis to pattern separation

Statistical Physics Methods for Community Detection

Towards an Algebraic Network Information Theory: Distributed Lossy Computation of Linear Functions

Successive Refinement to Caching for Dynamic Content

Strengthened Information-theoretic Bounds on the Generalization Error

Quantifying high-order interdependencies via multivariate extensions of the mutual information

Remote Source Coding Under Gaussian Noise: Dueling Roles of Power and Entropy Power

Compute–Forward Multiple Access (CFMA): Practical Implementations

Communication Versus Computation: Duality for Multiple-Access Channels and Source Coding

A Joint Typicality Approach to Compute–Forward

Single-server Multi-message Private Information Retrieval with Side Information

Sampling the Multiple Facets of Light

Sum-Rate Capacity for Symmetric Gaussian Multiple Access Channels with Feedback

Single-server Multi-user Private Information Retrieval with Side Information

Computable Bounds on the Exploration Bias

Increasing Availability in Distributed Storage Systems via Clustering

Efficient Learning from Comparisons

Caching and Distributed Storage

A Novel Centralized Strategy for Coded Caching with Non-uniform Demands

Design and implementation of an optimizing type-centric compiler for a high-level language

Secure Transmission on the Two-Hop Relay Channel With Scaled Compute-and-Forward

Polynomially Solvable Instances of the Shortest and Closest Vector Problems With Applications to Compute-and-Forward

Cooperative Data Exchange with Weighted Cost based on d-Basis Construction

Neural assemblies as core elements for modeling neural networks in the brain

Information-Theoretic Caching: The Multi-User Case

A Gaussian Source Coding Perspective on Caching and Total Correlation

Cooperative data exchange based on MDS codes

GDSP: A graphical perspective on the distributed storage systems

Compute-forward multiple access (CFMA) with nested LDPC codes

Towards an algebraic network information theory: Simultaneous joint typicality decoding

Bound and Conquer

Caching of Bivariate Gaussians with Non-Uniform Preference Probabilities