Ursabench: Comprehensive benchmarking of approximate bayesian inference methods for deep neural networksJan 1, 2020·Meet P Vadera,Adam D Cobb,Brian Jalaian,Benjamin M Marlin· 0 min read CiteTypeJournal articlePublicationarXiv preprint arXiv:2007.04466Last updated on Oct 19, 2024Uncertainty Quantification Deep Learning ← On uncertainty and robustness in large-scale intelligent data fusion systems Jan 1, 2020A Real-Time Solution for Underlay Coexistence with Channel Uncertainty Dec 1, 2019 →