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20092026
most citedFast non-negative deconvolution for spike train inference from population calcium imaging

504 citations · 2k across the 109 of their papers we have counts for

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Showing 2020Show all

12 papers · 1 filter

stat.ML2020★ 1 cited

A partition-based similarity for classification distributions

Hayden S. Helm, Ronak D. Mehta, Brandon Duderstadt +5

Herein we define a measure of similarity between classification distributions that is both principled from the perspective of statistical pattern recognition and useful from the pe…

cs.DC2020

PACSET (Packed Serialized Trees): Reducing Inference Latency for Tree Ensemble Deployment

Meghana Madhyastha, Kunal Lillaney, James Browne +2

We present methods to serialize and deserialize tree ensembles that optimize inference latency when models are not already loaded into memory. This arises whenever models are large…

q-bio.NC2020★ 1 cited

Multiscale Comparative Connectomics

Vivek Gopalakrishnan, Jaewon Chung, Eric Bridgeford +8

The connectome, a map of the structural and/or functional connections in the brain, provides a complex representation of the neurobiological phenotypes on which it supervenes. This…

stat.ML2020

Robust Similarity and Distance Learning via Decision Forests

Tyler M. Tomita, Joshua T. Vogelstein

Canonical distances such as Euclidean distance often fail to capture the appropriate relationships between items, subsequently leading to subpar inference and prediction. Many algo…

stat.ME2020★ 4 cited

Multiple Network Embedding for Anomaly Detection in Time Series of Graphs

Guodong Chen, Jesús Arroyo, Avanti Athreya +7

This paper considers the graph signal processing problem of anomaly detection in time series of graphs. We examine two related, complementary inference tasks: the detection of anom…

physics.soc-ph2020

P-Values in a Post-Truth World

Joshua T. Vogelstein

The role of statisticians in society is to provide tools, techniques, and guidance with regards to how much to trust data. This role is increasingly more important with more data a…