Sylvain Lamprier

793 total citations
15 papers, 80 citations indexed

About

Sylvain Lamprier is a scholar working on Artificial Intelligence, Safety Research and Information Systems. According to data from OpenAlex, Sylvain Lamprier has authored 15 papers receiving a total of 80 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 3 papers in Safety Research and 2 papers in Information Systems. Recurrent topics in Sylvain Lamprier's work include Topic Modeling (6 papers), Adversarial Robustness in Machine Learning (4 papers) and Natural Language Processing Techniques (4 papers). Sylvain Lamprier is often cited by papers focused on Topic Modeling (6 papers), Adversarial Robustness in Machine Learning (4 papers) and Natural Language Processing Techniques (4 papers). Sylvain Lamprier collaborates with scholars based in France and Poland. Sylvain Lamprier's co-authors include Marcin Detyniecki, Benjamin Piwowarski, Patrick Gallinari, Thomas Scialom, Laure Soulier, Jacopo Staiano, Frédéric Saubion, Thibault Gisselbrecht, Vincent Claveau and Nicolas Baskiotis and has published in prestigious journals such as Machine Learning, Information and Software Technology and ACM Transactions on Information Systems.

In The Last Decade

Sylvain Lamprier

13 papers receiving 77 citations

Peers

Countries citing papers authored by Sylvain Lamprier

Since Specialization

Citations

This map shows the geographic impact of Sylvain Lamprier'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 Sylvain Lamprier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sylvain Lamprier more than expected).

Fields of papers citing papers by Sylvain Lamprier

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sylvain Lamprier. 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 Sylvain Lamprier. The network helps show where Sylvain Lamprier may publish in the future.

Co-authorship network of co-authors of Sylvain Lamprier

This figure shows the co-authorship network connecting the top 25 collaborators of Sylvain Lamprier. A scholar is included among the top collaborators of Sylvain Lamprier 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 Sylvain Lamprier. Sylvain Lamprier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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15 of 15 papers shown

#	Work	Indexed citations
1	Learning Relational Decomposition of Queries for Question Answering from Tables 2024 ·(unknown), Benjamin Piwowarski, Sylvain Lamprier	0
2	Which Discriminator for Cooperative Text Generation? 2022 ·Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval ·Antoine Chaffin, Thomas Scialom, Sylvain Lamprier, Jacopo Staiano, Benjamin Piwowarski, Ewa Kijak, Vincent Claveau	2
3	Adversarial learning for counterfactual fairness 2022 ·Machine Learning ·(unknown), Sylvain Lamprier, Marcin Detyniecki	9
4	Fairness without the Sensitive Attribute via Causal Variational Autoencoder 2022 ·Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence ·(unknown), Sylvain Lamprier, Marcin Detyniecki	14
5	Deep dynamic neural networks for temporal language modeling in author communities 2021 ·Knowledge and Information Systems ·(unknown), Sylvain Lamprier, Ludovic Denoyer	1
6	Stochastic sparse adversarial attacks 2021 ·HAL (Le Centre pour la Communication Scientifique Directe) ·(unknown), (unknown), (unknown), Sylvain Lamprier, Patrick Gallinari	2
7	Amélioration de la Robustesse d'Agents Entraîné par Renforcement Profond : Attaque de l'Environnement basée sur le Réseau Critique. 2021 ·arXiv (Cornell University) ·(unknown), (unknown), Sylvain Lamprier	2
8	Data-QuestEval: A Referenceless Metric for Data-to-Text Semantic Evaluation 2021 ·Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing ·(unknown), Thomas Scialom, Laure Soulier, Benjamin Piwowarski, Sylvain Lamprier, Jacopo Staiano, (unknown), Patrick Gallinari	13
9	On the Study of Transformers for Query Suggestion 2021 ·ACM Transactions on Information Systems ·(unknown), Sylvain Lamprier, Benjamin Piwowarski	15
10	Dynamic Data Capture from Social Media Streams: A Contextual Bandit Approach 2021 ·Proceedings of the International AAAI Conference on Web and Social Media ·Thibault Gisselbrecht, Sylvain Lamprier, Patrick Gallinari	0
11	Achieving Fairness with Decision Trees: An Adversarial Approach 2020 ·Data Science and Engineering ·(unknown), (unknown), Sylvain Lamprier, Marcin Detyniecki	12
12	Contextual bandits with hidden contexts: a focused data capture from social media streams 2019 ·Data Mining and Knowledge Discovery ·Sylvain Lamprier, Thibault Gisselbrecht, Patrick Gallinari	2
13	Influence learning for cascade diffusion models: focus on partial orders of infections 2016 ·Social Network Analysis and Mining ·Sylvain Lamprier, (unknown), Patrick Gallinari	5
14	The CARE platform for the analysis of behavior model inference techniques 2014 ·Information and Software Technology ·Sylvain Lamprier, Nicolas Baskiotis, Tewfik Ziadi, (unknown)	1
15	TOWARD A MORE GLOBAL AND COHERENT SEGMENTATION OF TEXTS 2008 ·Applied Artificial Intelligence ·Sylvain Lamprier, (unknown), (unknown), Frédéric Saubion	2

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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