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researcher

Florian Strub

30 papers hereh-index 2515.8k citations43 works total

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

author position
  • first author5
  • middle author23
  • last author1

Across the 29 of 30 papers where every author was matched, so the position is known.

fields
  • cs.CV7
  • cs.AI6
  • cs.LG6
  • cs.MA4
  • cs.CL2
  • cs.GT1
same name
  • Florian Strub — 11 papers, h 7

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
20162023
most citedBootstrap your own latent: A new approach to self-supervised Learning

3.4k citations · 4.7k across the 28 of their papers we have counts for

collaborators
Showing 2016Show all

4 papers · 1 filter

cs.AI2016★ 19 cited

GuessWhat?! Visual object discovery through multi-modal dialogue

Harm de Vries, Florian Strub, Sarath Chandar +3

We introduce GuessWhat?!, a two-player guessing game as a testbed for research on the interplay of computer vision and dialogue systems. The goal of the game is to locate an unknow…

cs.GT2016★ 15 cited

Learning Nash Equilibrium for General-Sum Markov Games from Batch Data

Julien Pérolat, Florian Strub, Bilal Piot +1

This paper addresses the problem of learning a Nash equilibrium in γ-discounted multiplayer general-sum Markov Games (MG). A key component of this model is the possibility for th…

cs.LG2016★ 168 cited

Hybrid Recommender System based on Autoencoders

Florian Strub, Romaric Gaudel, Jérémie Mary

A standard model for Recommender Systems is the Matrix Completion setting: given partially known matrix of ratings given by users (rows) to items (columns), infer the unknown ratin…

cs.IR2016★ 23 cited

Hybrid Collaborative Filtering with Autoencoders

Florian Strub, Jeremie Mary, Romaric Gaudel

Collaborative Filtering aims at exploiting the feedback of users to provide personalised recommendations. Such algorithms look for latent variables in a large sparse matrix of rati…

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