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Thomas Serre

Brown University

26 papers hereh-index 5217.5k citations264 works total

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

author position
  • first author1
  • middle author6
  • last author18

Across the 25 of 26 papers where every author was matched, so the position is known.

fields
  • cs.CV16
  • cs.LG4
  • cs.AI2
  • q-bio.NC2
  • cs.CL1
  • nlin.AO1
affiliations
  • Brown University
Homepage
same name
  • Thomas Serre — 1 paper, h 2

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
20162026
most citedRecurrent neural circuits for contour detection

17 citations · 35 across the 9 of their papers we have counts for

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2025

GASPnet: Global Agreement to Synchronize Phases

Andrea Alamia, Sabine Muzellec, Thomas Serre +1

In recent years, Transformer architectures have revolutionized most fields of artificial intelligence, relying on an attentional mechanism based on the agreement between keys and q…

cs.LG2025

Follow the Energy, Find the Path: Riemannian Metrics from Energy-Based Models

Louis Béthune, David Vigouroux, Yilun Du +3

What is the shortest path between two data points lying in a high-dimensional space? While the answer is trivial in Euclidean geometry, it becomes significantly more complex when t…

cs.LG2020★ 2 cited

Iterative VAE as a predictive brain model for out-of-distribution generalization

Victor Boutin, Aimen Zerroug, Minju Jung +1

Our ability to generalize beyond training data to novel, out-of-distribution, image degradations is a hallmark of primate vision. The predictive brain, exemplified by predictive co…

cs.LG2020

Go with the Flow: Adaptive Control for Neural ODEs

Mathieu Chalvidal, Matthew Ricci, Rufin VanRullen +1

Despite their elegant formulation and lightweight memory cost, neural ordinary differential equations (NODEs) suffer from known representational limitations. In particular, the sin…

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