One-shot channel simulation (or channel synthesis) has seen increasing applications in
lossy compression, differential privacy and machine learning. In this setting, an encoder …

We introduce an innovative and mathematically rigorous definition for computing common
information from multi-view data, drawing inspiration from Gács-Körner common information …

We show that the communication cost of quantum broadcast channel simulation under free
entanglement assistance between the sender and the receivers is asymptotically …

We study channel simulation under common randomness assistance in the finite-
blocklength regime and identify the smooth channel max-information as a linear program …

We study the effect of shared non-signaling correlations for the problem of simulating a
channel using noiseless communication in the one-shot setting. For classical channels, we …

It is known that general convertibility of bipartite entangled states is not possible to arbitrary
error without some classical communication. While some tradeoffs between communication …

Distributed source simulation is the task where two (or more) parties share some correlated
randomness and use local operations and no communication to convert this into some target …

In most applications of utilizing neural networks for mathematical optimization, a dedicated
model is trained for each specific optimization objective. However, in many scenarios …

Distributed source simulation is the task where two (or more) parties share some correlated
randomness and use local operations and no communication to convert this into some target …

The exact common information between a set of random variables X 1,…, X n is defined as
the minimum entropy of a shared random variable that allows for the exact distributive …