10 citations · 27 across the 20 of their papers we have counts for
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cs.IT2025
Data Compression with Relative Entropy Coding
Gergely Flamich
Over the last few years, machine learning unlocked previously infeasible features for compression, such as providing guarantees for users' privacy or tailoring compression to speci…
cs.CL2025
You Cannot Feed Two Birds with One Score: the Accuracy-Naturalness Tradeoff in Translation
Gergely Flamich, David Vilar, Jan-Thorsten Peter +1
The goal of translation, be it by human or by machine, is, given some text in a source language, to produce text in a target language that simultaneously 1) preserves the meaning o…
cs.IT2025
The Redundancy of Non-Singular Channel Simulation
Gergely Flamich, Sharang M. Sriramu, Aaron B. Wagner
Channel simulation is an alternative to quantization and entropy coding for performing lossy source coding. Recently, channel simulation has gained significant traction in both the…