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Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation.

arXiv:2607.03487v2 Announce Type: replace-cross Abstract: Mutual information estimation is a central problem in machine learning and statistics; however, existing benchmarks typically evaluate estimators on simplified, low-dimensional distributions, leaving th

arXiv cs.AIResearch source·