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Reuben Dorent

2 accepted papers

2025

Connecting Jensen–Shannon and Kullback–Leibler Divergences: A New Bound for Representation Learning

NeurIPS 2025poster

Mutual Information (MI) is a fundamental measure of statistical dependence widely used in representation learning. While direct optimization of MI via its definition as a Kullback-Leibler divergence (KLD) is often intractable, many recent methods have instead maximized alternative dependence measure…

Cited by 0SourceScholar
2023

Why Is the Winner the Best?

CVPR 2023poster

International benchmarking competitions have become fundamental for the comparative performance assessment of image analysis methods. However, little attention has been given to investigating what can be learnt from these competitions. Do they really generate scientific progress? What are common and…

Cited by 29SourcePDFScholar