Publications by Erixhen Sula | EPFL Graph Search

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

This paper presents explicit solutions for two related non-convex information extremization problems due to Gray and Wyner in the Gaussian case. The first problem is the Gray-Wyner network subject to a sum-rate constraint on the two private links. Here, ou ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

Shannon Bounds on Lossy Gray-Wyner Networks

Michael Christoph Gastpar, Erixhen Sula

The Gray-Wyner network subject to a fidelity criterion is studied. Upper and lower bounds for the trade-offs between the private sum-rate and the common rate are obtained for arbitrary sources subject to mean-squared error distortion. The bounds meet exact ...

2022

Feedback and Common Information: Bounds and Capacity for Gaussian Networks

Erixhen Sula

Network information theory studies the communication of information in a network and considers its fundamental limits. Motivating from the extensive presence of the networks in the daily life, the thesis studies the fundamental limits of particular network ...

EPFL2021

Common Information Components Analysis

Michael Christoph Gastpar, Erixhen Sula

Wyner's common information is a measure that quantifies and assesses the commonality between two random variables. Based on this, we introduce a novel two-step procedure to construct features from data, referred to as Common Information Components Analysis ...

MDPI2021

Optimizing Gain Shaping Filters with Neural Networks for Maximum Cable Capacity under Electrical Power Constraints

Erixhen Sula

We experimentally demonstrate capacity gains of up to 23% under electrical supply power constraints in a long-haul optical fiber cable by optimizing the gain shaping filters using neural networks. ...

IEEE2021

Common Information Components Analysis

Michael Christoph Gastpar, Erixhen Sula

We give an information-theoretic interpretation of Canonical Correlation Analysis (CCA) via (relaxed) Wyner's common information. CCA permits to extract from two high-dimensional data sets low-dimensional descriptions (features) that capture the commonalit ...

IEEE2020

Supply-Power-Constrained Cable Capacity Maximization Using Multi-Layer Neural Networks

Erixhen Sula

We experimentally solve the problem of maximizing capacity under a total supply power constraint in a massively parallel submarine cable context, i.e., for a spatially uncoupled system in which fiber Kerr nonlinearity is not a dominant limitation. By using ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

The Gaussian lossy Gray-Wyner network

Michael Christoph Gastpar, Erixhen Sula

We consider the problem of source coding subject to a fidelity criterion for the Gray-Wyner network that connects a single source with two receivers via a common channel and two private channels. The pareto-optimal trade-offs between the sum-rate of the pr ...

2020

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

Michael Christoph Gastpar, Erixhen Sula

The feedback sum-rate capacity is established for the symmetric

J

-user Gaussian multiple-access channel (GMAC). The main contribution is a converse bound that combines the dependence-balance argument of Hekstra and Willems (1989) with a variant of the f ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

Maximizing Fiber Cable Capacity Under A Supply Power Constraint Using Deep Neural Networks

Erixhen Sula

We experimentally achieve a 19% capacity gain per Watt of electrical supply power in a 12-span link by eliminating gain flattening filters and optimizing launch powers using deep neural networks in a parallel fiber context. (C) 2020 The Authors ...

IEEE2020

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

Shannon Bounds on Lossy Gray-Wyner Networks

Feedback and Common Information: Bounds and Capacity for Gaussian Networks

Common Information Components Analysis

Optimizing Gain Shaping Filters with Neural Networks for Maximum Cable Capacity under Electrical Power Constraints

Common Information Components Analysis

Supply-Power-Constrained Cable Capacity Maximization Using Multi-Layer Neural Networks

The Gaussian lossy Gray-Wyner network

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

Maximizing Fiber Cable Capacity Under A Supply Power Constraint Using Deep Neural Networks

Shannon Bounds on Lossy Gray-Wyner Networks

Common Information Components Analysis

Supply-Power-Constrained Cable Capacity Maximization Using Multi-Layer Neural Networks

The Gaussian lossy Gray-Wyner network

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

Optimizing Gain Shaping Filters with Neural Networks for Maximum Cable Capacity under Electrical Power Constraints

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

Maximizing Fiber Cable Capacity Under A Supply Power Constraint Using Deep Neural Networks

Common Information Components Analysis

Feedback and Common Information: Bounds and Capacity for Gaussian Networks