Flavian Vasile

61 papers A* 6A 13B 2C 1Journal 31Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Bringing NeRFs to the Latent Space: Inverse Graphics Autoencoder. ICLR Antoine Schnepf, Karim Kassab, Jean-Yves Franceschi, Laurent Caraffa, Flavian Vasile, Jérémie Mary, Andrew I. Comport, Valérie Gouet-Brunet
2025	A	`conf`	CONSEQUENCES 2025 - The 4th Workshop on Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems. RecSys Harrie Oosterhuis, Olivier Jeunen, Yuta Saito, Yixin Wang, Flavian Vasile, Thorsten Joachims
2025	J	`jnl`	RoiRL: Efficient, Self-Supervised Reasoning with Offline Iterative Reinforcement Learning. CoRR Aleksei Arzhantsev, Otmane Sakhi, Flavian Vasile
2024	J	`jnl`	Bringing NeRFs to the Latent Space: Inverse Graphics Autoencoder. CoRR Antoine Schnepf, Karim Kassab, Jean-Yves Franceschi, Laurent Caraffa, Flavian Vasile, Jérémie Mary, Andrew I. Comport, Valérie Gouet-Brunet
2024	A	`conf`	CONSEQUENCES - The 3rd Workshop on Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems. RecSys Olivier Jeunen, Harrie Oosterhuis, Yuta Saito, Flavian Vasile, Yixin Wang
2024	J	`jnl`	Exploring 3D-aware Latent Spaces for Efficiently Learning Numerous Scenes. CoRR Antoine Schnepf, Karim Kassab, Jean-Yves Franceschi, Laurent Caraffa, Flavian Vasile, Jérémie Mary, Andrew I. Comport, Valérie Gouet-Brunet
2024	J	`jnl`	Scaled Inverse Graphics: Efficiently Learning Large Sets of 3D Scenes. CoRR Karim Kassab, Antoine Schnepf, Jean-Yves Franceschi, Laurent Caraffa, Flavian Vasile, Jérémie Mary, Andrew I. Comport, Valérie Gouet-Brunet
2024	—	`conf`	Welfare-Optimized Recommender Systems. SURE@RecSys Benjamin Heymann, Flavian Vasile, David Rohde
2023	J	`jnl`	3DGEN: A GAN-based approach for generating novel 3D models from image data. CoRR Antoine Schnepf, Flavian Vasile, Ugo Tanielian
2023	J	`jnl`	AdBooster: Personalized Ad Creative Generation using Stable Diffusion Outpainting. CoRR Veronika Shilova, Ludovic Dos Santos, Flavian Vasile, Gaëtan Racic, Ugo Tanielian
2023	A	`conf`	CONSEQUENCES - The 2nd Workshop on Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems. RecSys Olivier Jeunen, Thorsten Joachims, Harrie Oosterhuis, Yuta Saito, Flavian Vasile, Yixin Wang
2022	J	`jnl`	A Scalable Probabilistic Model for Reward Optimizing Slate Recommendation. CoRR Imad Aouali, Achraf Ait Sidi Hammou, Sergey Ivanov, Otmane Sakhi, David Rohde, Flavian Vasile
2022	A	`conf`	CONSEQUENCES - Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems. RecSys Olivier Jeunen, Thorsten Joachims, Harrie Oosterhuis, Yuta Saito, Flavian Vasile
2022	J	`jnl`	Offline Evaluation of Reward-Optimizing Recommender Systems: The Case of Simulation. CoRR Imad Aouali, Amine Benhalloum, Martin Bompaire, Benjamin Heymann, Olivier Jeunen, David Rohde, Otmane Sakhi, Flavian Vasile
2022	A*	`conf`	Reward Optimizing Recommendation using Deep Learning and Fast Maximum Inner Product Search. KDD Imad Aouali, Amine Benhalloum, Martin Bompaire, Achraf Ait Sidi Hammou, Sergey Ivanov, Benjamin Heymann, David Rohde, Otmane Sakhi, Flavian Vasile, Maxime Vono
2022	J	`jnl`	Welfare-Optimized Recommender Systems. CoRR Benjamin Heymann, Flavian Vasile, David Rohde
2021	J	`jnl`	Combining Reward and Rank Signals for Slate Recommendation. CoRR Imad Aouali, Sergey Ivanov, Mike Gartrell, David Rohde, Flavian Vasile, Victor Zaytsev, Diego Legrand
2020	A	`conf`	A Gentle Introduction to Recommendation as Counterfactual Policy Learning. UMAP Flavian Vasile, David Rohde, Olivier Jeunen, Amine Benhalloum
2020	J	`jnl`	BLOB : A Probabilistic Model for Recommendation that Combines Organic and Bandit Signals. CoRR Otmane Sakhi, Stephen Bonner, David Rohde, Flavian Vasile
2020	A*	`conf`	BLOB: A Probabilistic Model for Recommendation that Combines Organic and Bandit Signals. KDD Otmane Sakhi, Stephen Bonner, David Rohde, Flavian Vasile
2020	A	`conf`	Bayesian Value Based Recommendation: A modelling based alternative to proxy and counterfactual policy based recommendation. RecSys David Rohde, Flavian Vasile, Sergey Ivanov, Otmane Sakhi
2020	A*	`conf`	Distributionally Robust Counterfactual Risk Minimization. AAAI Louis Faury, Ugo Tanielian, Elvis Dohmatob, Elena Smirnova, Flavian Vasile
2020	J	`jnl`	From Clicks to Conversions: Recommendation for long-term reward. CoRR Philomène Chagniot, Flavian Vasile, David Rohde
2020	J	`jnl`	Improving Offline Contextual Bandits with Distributional Robustness. CoRR Otmane Sakhi, Louis Faury, Flavian Vasile
2020	A*	`conf`	Joint Policy-Value Learning for Recommendation. KDD Olivier Jeunen, David Rohde, Flavian Vasile, Martin Bompaire
2020	A	`conf`	REVEAL 2020: Bandit and Reinforcement Learning from User Interactions. RecSys Thorsten Joachims, Yves Raimond, Olivier Koch, Maria Dimakopoulou, Flavian Vasile, Adith Swaminathan
2019	A*	`conf`	Causal Embeddings for Recommendation: An Extended Abstract. IJCAI Flavian Vasile, Stephen Bonner
2019	J	`jnl`	Causal Embeddings for Recommendation: An Extended Abstract. CoRR Stephen Bonner, Flavian Vasile
2019	J	`jnl`	Distributionally Robust Counterfactual Risk Minimization. CoRR Louis Faury, Ugo Tanielian, Flavian Vasile, Elena Smirnova, Elvis Dohmatob
2019	J	`jnl`	Learning from Bandit Feedback: An Overview of the State-of-the-art. CoRR Olivier Jeunen, Dmytro Mykhaylov, David Rohde, Flavian Vasile, Alexandre Gilotte, Martin Bompaire
2019	J	`jnl`	On the Value of Bandit Feedback for Offline Recommender System Evaluation. CoRR Olivier Jeunen, David Rohde, Flavian Vasile
2019	A	`conf`	REVEAL 2019: closing the loop with the real world: reinforcement and robust estimators for recommendation. RecSys Thorsten Joachims, Maria Dimakopoulou, Adith Swaminathan, Yves Raimond, Olivier Koch, Flavian Vasile
2019	J	`jnl`	Recommendation System-based Upper Confidence Bound for Online Advertising. CoRR Nhan Nguyen-Thanh, Dana Marinca, Kinda Khawam, David Rohde, Flavian Vasile, Elena Simona Lohan, Steven Martin, Dominique Quadri
2019	J	`jnl`	Reconsidering Analytical Variational Bounds for Output Layers of Deep Networks. CoRR Otmane Sakhi, Stephen Bonner, David Rohde, Flavian Vasile
2019	J	`jnl`	Relaxed Softmax for learning from Positive and Unlabeled data. CoRR Ugo Tanielian, Flavian Vasile
2019	A	`conf`	Relaxed softmax for PU learning. RecSys Ugo Tanielian, Flavian Vasile
2019	J	`jnl`	Three Methods for Training on Bandit Feedback. CoRR Dmytro Mykhaylov, David Rohde, Flavian Vasile
2018	J	`jnl`	Adversarial Training of Word2Vec for Basket Completion. CoRR Ugo Tanielian, Mike Gartrell, Flavian Vasile
2018	A	`conf`	Causal embeddings for recommendation. RecSys Stephen Bonner, Flavian Vasile
2018	A	`conf`	DLRS 2018: third workshop on deep learning for recommender systems. RecSys Balázs Hidasi, Alexandros Karatzoglou, Oren Sar Shalom, Bracha Shapira, Domonkos Tikk, Flavian Vasile, Sander Dieleman
2018	J	`jnl`	Neural Generative Models for Global Optimization with Gradients. CoRR Louis Faury, Flavian Vasile, Clément Calauzènes, Olivier Fercoq
2018	—	`ed.`	Proceedings of the 3rd Workshop on Deep Learning for Recommender Systems, DLRS@RecSys 2018, Vancouver, BC, Canada, October 6, 2018 DLRS Balázs Hidasi, Alexandros Karatzoglou, Oren Sar Shalom, Bracha Shapira, Domonkos Tikk, Flavian Vasile, Sander Dieleman
2018	A	`conf`	REVEAL 2018: offline evaluation for recommender systems. RecSys Thorsten Joachims, Adith Swaminathan, Yves Raimond, Olivier Koch, Flavian Vasile
2018	J	`jnl`	RecoGym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising. CoRR David Rohde, Stephen Bonner, Travis Dunlop, Flavian Vasile, Alexandros Karatzoglou
2018	—	`conf`	Rover Descent: Learning to Optimize by Learning to Navigate on Prototypical Loss Surfaces. LION Louis Faury, Flavian Vasile
2018	J	`jnl`	Rover Descent: Learning to optimize by learning to navigate on prototypical loss surfaces. CoRR Louis Faury, Flavian Vasile
2018	—	`conf`	Siamese Cookie Embedding Networks for Cross-Device User Matching. WWW (Companion Volume) Ugo Tanielian, Anne-Marie Tousch, Flavian Vasile
2018	J	`jnl`	Siamese Cookie Embedding Networks for Cross-Device User Matching. CoRR Ugo Tanielian, Anne-Marie Tousch, Flavian Vasile
2017	J	`jnl`	Causal Embeddings for Recommendation. CoRR Stephen Bonner, Flavian Vasile
2017	—	`conf`	Contextual Sequence Modeling for Recommendation with Recurrent Neural Networks. DLRS@RecSys Elena Smirnova, Flavian Vasile
2017	J	`jnl`	Contextual Sequence Modeling for Recommendation with Recurrent Neural Networks. CoRR Elena Smirnova, Flavian Vasile
2017	—	`conf`	Cost-sensitive Learning for Utility Optimization in Online Advertising Auctions. ADKDD@KDD Flavian Vasile, Damien Lefortier, Olivier Chapelle
2017	—	`conf`	Specializing Joint Representations for the task of Product Recommendation. DLRS@RecSys Thomas Nedelec, Elena Smirnova, Flavian Vasile
2017	J	`jnl`	Specializing Joint Representations for the task of Product Recommendation. CoRR Thomas Nedelec, Elena Smirnova, Flavian Vasile
2016	J	`jnl`	Cost-sensitive Learning for Bidding in Online Advertising Auctions. CoRR Flavian Vasile, Damien Lefortier
2016	J	`jnl`	Meta-Prod2Vec - Product Embeddings Using Side-Information for Recommendation. CoRR Flavian Vasile, Elena Smirnova, Alexis Conneau
2016	A	`conf`	Meta-Prod2Vec: Product Embeddings Using Side-Information for Recommendation. RecSys Flavian Vasile, Elena Smirnova, Alexis Conneau
2010	B	`conf`	Resolving Surface Forms to Wikipedia Topics. COLING Yiping Zhou, Lan Nie, Omid Rouhani-Kalleh, Flavian Vasile, Scott Gaffney
2009	—	`conf`	Learning a Named Entity Tagger from Gazetteers with the Partial Perceptron. AAAI Spring Symposium: Learning by Reading and Learning to Read Andrew Carlson, Scott Gaffney, Flavian Vasile
2007	C	`conf`	Cost-based Analysis of Multiple Counter-Examples. SEKE Flavian Vasile, Samik Basu
2006	B	`conf`	TRIPPER: Rule Learning Using Taxonomies. PAKDD Flavian Vasile, Adrian Silvescu, Dae-Ki Kang, Vasant G. Honavar