3 citations · 7 across the 11 of their papers we have counts for
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stat.ML2021
A Pseudo-Metric between Probability Distributions based on Depth-Trimmed Regions
Guillaume Staerman, Pavlo Mozharovskyi, Pierre Colombo +2
The design of a metric between probability distributions is a longstanding problem motivated by numerous applications in Machine Learning. Focusing on continuous probability distri…
stat.ML2021★ 1 cited
Emotion Transfer Using Vector-Valued Infinite Task Learning
Alex Lambert, Sanjeel Parekh, Zoltán Szabó +1
Style transfer is a significant problem of machine learning with numerous successful applications. In this work, we present a novel style transfer framework building upon infinite…