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Scott W. Linderman

49 papers hereh-index 335.5k citations131 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author8
  • middle author18
  • last author20

Across the 46 of 49 papers where every author was matched, so the position is known.

fields
  • stat.ML19
  • cs.LG16
  • q-bio.NC6
  • cs.CL4
  • math.OC1
  • q-bio.QM1
same name
  • Scott W. Linderman — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20142026
most citedLearning Latent Permutations with Gumbel-Sinkhorn Networks

147 citations · 719 across the 43 of their papers we have counts for

collaborators
Showing 2018Show all

3 papers · 1 filter

stat.AP2018

Dose-response modeling in high-throughput cancer drug screenings: An end-to-end approach

Wesley Tansey, Kathy Li, Haoran Zhang +4

Personalized cancer treatments based on the molecular profile of a patient's tumor are an emerging and exciting class of treatments in oncology. As genomic tumor profiling is becom…

stat.ML2018★ 33 cited

Tree-Structured Recurrent Switching Linear Dynamical Systems for Multi-Scale Modeling

Josue Nassar, Scott W. Linderman, Monica Bugallo +1

Many real-world systems studied are governed by complex, nonlinear dynamics. By modeling these dynamics, we can gain insight into how these systems work, make predictions about how…

stat.ML2018★ 147 cited

Learning Latent Permutations with Gumbel-Sinkhorn Networks

Gonzalo Mena, David Belanger, Scott Linderman +1

Permutations and matchings are core building blocks in a variety of latent variable models, as they allow us to align, canonicalize, and sort data. Learning in such models is diffi…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.