99 citations · 157 across the 39 of their papers we have counts for
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stat.ML2021
Curved Markov Chain Monte Carlo for Network Learning
John Sigbeku, Emil Saucan, Anthea Monod
We present a geometrically enhanced Markov chain Monte Carlo sampler for networks based on a discrete curvature measure defined on graphs. Specifically, we incorporate the concept…
math.MG2021★ 4 cited
An Invitation to Tropical Alexandrov Curvature
Carlos Améndola, Anthea Monod
We study Alexandrov curvature in the tropical projective torus with respect to the tropical metric, which has been useful in various statistical analyses, particularly in phylogeno…
stat.ML2021★ 4 cited
Topological Information Retrieval with Dilation-Invariant Bottleneck Comparative Measures
Yueqi Cao, Athanasios Vlontzos, Luca Schmidtke +2
Appropriately representing elements in a database so that queries may be accurately matched is a central task in information retrieval; recently, this has been achieved by embeddin…