Florian Strub

7.0k total citations · 1 hit paper
10 papers, 964 citations indexed

About

Florian Strub is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Metals and Alloys. According to data from OpenAlex, Florian Strub has authored 10 papers receiving a total of 964 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 1 paper in Metals and Alloys. Recurrent topics in Florian Strub's work include Multimodal Machine Learning Applications (7 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Florian Strub is often cited by papers focused on Multimodal Machine Learning Applications (7 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Florian Strub collaborates with scholars based in United States, Canada and France. Florian Strub's co-authors include Aaron Courville, Harm de Vries, Vincent Dumoulin, Ethan Perez, Tresa M. Pollock, Marie‐Agathe Charpagne, Nathan Schucher, Yoshua Bengio, Olivier Pietquin and Bilal Piot and has published in prestigious journals such as Materials Characterization, HAL (Le Centre pour la Communication Scientifique Directe) and LillOA (Université de Lille (University Of Lille)).

In The Last Decade

Florian Strub

10 papers receiving 936 citations

Hit Papers

FiLM: Visual Reasoning with a General Conditioning Layer 2018 2026 2020 2023 2018 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. FiLM: Visual Reasoning with a General Conditioning Layer
    2018 788 citations Ethan Perez, Florian Strub et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Florian Strub United States 5 574 451 155 48 47 10 964
Harm de Vries Canada 7 637 1.1× 565 1.3× 162 1.0× 55 1.1× 58 1.2× 14 1.1k
Ethan Perez United States 6 566 1.0× 596 1.3× 163 1.1× 50 1.0× 49 1.0× 12 1.1k
Xiaodong Gu China 19 741 1.3× 386 0.9× 134 0.9× 51 1.1× 36 0.8× 96 1.2k
Christopher Olah United States 3 845 1.5× 497 1.1× 103 0.7× 56 1.2× 88 1.9× 3 1.3k
Vinay P. Namboodiri India 15 864 1.5× 483 1.1× 338 2.2× 83 1.7× 54 1.1× 93 1.3k
Anoop Cherian United States 21 836 1.5× 425 0.9× 93 0.6× 37 0.8× 43 0.9× 68 1.2k
Matthew Johnson United States 12 776 1.4× 357 0.8× 60 0.4× 31 0.6× 25 0.5× 37 1.2k
Yu Xiang United States 18 1.3k 2.2× 493 1.1× 337 2.2× 41 0.9× 56 1.2× 58 1.7k
Dongliang He China 20 1.2k 2.1× 377 0.8× 132 0.9× 44 0.9× 19 0.4× 55 1.4k
Aravindh Mahendran United States 6 766 1.3× 585 1.3× 59 0.4× 19 0.4× 67 1.4× 9 1.3k

Countries citing papers authored by Florian Strub

Since Specialization
Citations

This map shows the geographic impact of Florian Strub's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Florian Strub with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Florian Strub more than expected).

Fields of papers citing papers by Florian Strub

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Florian Strub. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Florian Strub. The network helps show where Florian Strub may publish in the future.

Co-authorship network of co-authors of Florian Strub

This figure shows the co-authorship network connecting the top 25 collaborators of Florian Strub. A scholar is included among the top collaborators of Florian Strub based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Florian Strub. Florian Strub is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Strub, Florian, et al.. (2024). Countering Reward Over-Optimization in LLM with Demonstration-Guided Reinforcement Learning. 12447–12472. 2 indexed citations
2.
Martin, Alice, et al.. (2022). Learning Natural Language Generation with Truncated Reinforcement Learning. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 12–37. 2 indexed citations
3.
Cideron, Geoffrey, et al.. (2020). HIGhER: Improving instruction following with Hindsight Generation for Experience Replay. SPIRE - Sciences Po Institutional REpository. 225–232. 2 indexed citations
4.
Strub, Florian, et al.. (2020). Supervised Seeded Iterated Learning for Interactive Language Learning. 3962–3970. 2 indexed citations
5.
Charpagne, Marie‐Agathe, Florian Strub, & Tresa M. Pollock. (2019). Accurate reconstruction of EBSD datasets by a multimodal data approach using an evolutionary algorithm. Materials Characterization. 150. 184–198. 40 indexed citations
6.
Perez, Ethan, Ankesh Anand, Florian Golemo, et al.. (2018). HoME: a Household Multimodal Environment.. HAL (Le Centre pour la Communication Scientifique Directe). 3 indexed citations
7.
Dumoulin, Vincent, Ethan Perez, Nathan Schucher, et al.. (2018). Feature-wise transformations. HAL (Le Centre pour la Communication Scientifique Directe). 3(7). 78 indexed citations
8.
Perez, Ethan, Florian Strub, Harm de Vries, Vincent Dumoulin, & Aaron Courville. (2018). FiLM: Visual Reasoning with a General Conditioning Layer. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 788 indexed citations breakdown →
9.
Vries, H. de, et al.. (2017). Modulating early visual processing by language. LillOA (Université de Lille (University Of Lille)). 11 indexed citations
10.
Strub, Florian, Harm de Vries, Jérémie Mary, et al.. (2017). End-to-end optimization of goal-driven and visually grounded dialogue systems. 2765–2771. 36 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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