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Flavian Vasile

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

25

Venues

9

Active years

2006–2025

Best venue rank

A*

Where they publish

Papers

25 indexed papers, newest first.

YearVenueTitleAuthors
2025ICLRBringing NeRFs to the Latent Space: Inverse Graphics Autoencoder.Antoine Schnepf, Karim Kassab, Jean-Yves Franceschi, Laurent Caraffa, Flavian Vasile, Jrmie Mary, Andrew I. Comport, Valrie Gouet-Brunet
2025RecSysCONSEQUENCES 2025 - The 4th Workshop on Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems.Harrie Oosterhuis, Olivier Jeunen, Yuta Saito, Yixin Wang, Flavian Vasile, Thorsten Joachims
2024RecSysCONSEQUENCES - The 3rd Workshop on Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems.Olivier Jeunen, Harrie Oosterhuis, Yuta Saito, Flavian Vasile, Yixin Wang
2023RecSysCONSEQUENCES - The 2nd Workshop on Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems.Olivier Jeunen, Thorsten Joachims, Harrie Oosterhuis, Yuta Saito, Flavian Vasile, Yixin Wang
2022KDDReward Optimizing Recommendation using Deep Learning and Fast Maximum Inner Product Search.Imad Aouali, Amine Benhalloum, Martin Bompaire, Achraf Ait Sidi Hammou, Sergey Ivanov, Benjamin Heymann, David Rohde, Otmane Sakhi, Flavian Vasile, Maxime Vono
2022RecSysCONSEQUENCES - Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems.Olivier Jeunen, Thorsten Joachims, Harrie Oosterhuis, Yuta Saito, Flavian Vasile
2020AAAIDistributionally Robust Counterfactual Risk Minimization.Louis Faury, Ugo Tanielian, Elvis Dohmatob, Elena Smirnova, Flavian Vasile
2020KDDJoint Policy-Value Learning for Recommendation.Olivier Jeunen, David Rohde, Flavian Vasile, Martin Bompaire
2020KDDBLOB: A Probabilistic Model for Recommendation that Combines Organic and Bandit Signals.Otmane Sakhi, Stephen Bonner, David Rohde, Flavian Vasile
2020RecSysREVEAL 2020: Bandit and Reinforcement Learning from User Interactions.Thorsten Joachims, Yves Raimond, Olivier Koch, Maria Dimakopoulou, Flavian Vasile, Adith Swaminathan
2020RecSysBayesian Value Based Recommendation: A modelling based alternative to proxy and counterfactual policy based recommendation.David Rohde, Flavian Vasile, Sergey Ivanov, Otmane Sakhi
2019IJCAICausal Embeddings for Recommendation: An Extended Abstract.Flavian Vasile, Stephen Bonner
2019RecSysREVEAL 2019: closing the loop with the real world: reinforcement and robust estimators for recommendation.Thorsten Joachims, Maria Dimakopoulou, Adith Swaminathan, Yves Raimond, Olivier Koch, Flavian Vasile
2019RecSysRelaxed softmax for PU learning.Ugo Tanielian, Flavian Vasile
2018RecSysCausal embeddings for recommendation.Stephen Bonner, Flavian Vasile
2018RecSysDLRS 2018: third workshop on deep learning for recommender systems.Balzs Hidasi, Alexandros Karatzoglou, Oren Sar Shalom, Bracha Shapira, Domonkos Tikk, Flavian Vasile, Sander Dieleman
2018RecSysREVEAL 2018: offline evaluation for recommender systems.Thorsten Joachims, Adith Swaminathan, Yves Raimond, Olivier Koch, Flavian Vasile
2018WWWSiamese Cookie Embedding Networks for Cross-Device User Matching.Ugo Tanielian, Anne-Marie Tousch, Flavian Vasile
2017KDDCost-sensitive Learning for Utility Optimization in Online Advertising Auctions.Flavian Vasile, Damien Lefortier, Olivier Chapelle
2017RecSysSpecializing Joint Representations for the task of Product Recommendation.Thomas Nedelec, Elena Smirnova, Flavian Vasile
2017RecSysContextual Sequence Modeling for Recommendation with Recurrent Neural Networks.Elena Smirnova, Flavian Vasile
2016RecSysMeta-Prod2Vec: Product Embeddings Using Side-Information for Recommendation.Flavian Vasile, Elena Smirnova, Alexis Conneau
2010COLINGResolving Surface Forms to Wikipedia Topics.Yiping Zhou, Lan Nie, Omid Rouhani-Kalleh, Flavian Vasile, Scott Gaffney
2007SEKECost-based Analysis of Multiple Counter-Examples.Flavian Vasile, Samik Basu
2006PAKDDTRIPPER: Rule Learning Using Taxonomies.Flavian Vasile, Adrian Silvescu, Dae-Ki Kang, Vasant G. Honavar