62 citations · 268 across the 38 of their papers we have counts for
46 papers
A Sheaf-Theoretic Construction of Shape Space
Shreya Arya, Justin Curry, Sayan Mukherjee
We present a sheaf-theoretic construction of shape space -- the space of all shapes. We do this by describing a homotopy sheaf on the poset category of constructible sets, where ea…
Scale Reliant Inference
Michelle Pistner Nixon, Kyle C. McGovern, Jeffrey Letourneau +4
Many scientific fields, including human gut microbiome science, collect multivariate count data where the sum of the counts is unrelated to the scale of the underlying system being…
Regularized Bayesian best response learning in finite games
Sayan Mukherjee, Souvik Roy
We introduce the notion of regularized Bayesian best response (RBBR) learning dynamic in heterogeneous population games. We obtain such a dynamic via perturbation by an arbitrary l…
Accelerating Markov Random Field Inference with Uncertainty Quantification
Ramin Bashizade, Xiangyu Zhang, Sayan Mukherjee +1
Statistical machine learning has widespread application in various domains. These methods include probabilistic algorithms, such as Markov Chain Monte-Carlo (MCMC), which rely on g…
A Grover search-based algorithm for the list coloring problem
Sayan Mukherjee
Graph coloring is a computationally difficult problem, and currently the best known classical algorithm for -coloring of graphs on vertices has runtimes for $k\ge 5…
A Methodology for Exploring Deep Convolutional Features in Relation to Hand-Crafted Features with an Application to Music Audio Modeling
Anna K. Yanchenko, Mohammadreza Soltani, Robert J. Ravier +2
Understanding the features learned by deep models is important from a model trust perspective, especially as deep systems are deployed in the real world. Most recent approaches for…