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…
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…