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Speaker: Ting-Kam Leonard Wong, University of Toronto Date: November 6, 2025 Abstract: ... A video presenting our work on the optimal transport approximation of measures. What's the cheapest way to reshape one pile of dirt into another? This simple question leads to one of the most powerful ideas in ... This study explores LLaMA-2's in-context learning for probability Please consider supporting us on Patreon if you enjoy our content: What's the best way ... Original paper: Title: Approximate Stein Classes for Truncated
This talk has been recorded at PQ-DFT 2019, a workshop on precision quantification in Graduate Summer School 2012: Deep Learning, Feature Learning " Abstract: Understanding the natural fracture networks is essential for efficient development of many geothermal reservoirs. The cohesive transport algorithms (excess shear eqn) in HEC-RAS and other sediment models require several parameters that ... We present a mathematically rigorous justification of the Local
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Shape-constrained density estimation with Wasserstein projection
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Last Updated: May 22, 2026
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