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·