Jérémie Mary

59 papers A* 10A 4B 1Journal 31Unranked 12

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	J	`jnl`	Closing the Performance Gap in Generative Recommenders with Collaborative Tokenization and Efficient Modeling. CoRR Simon Lepage, Jérémie Mary, David Picard
2025	J	`jnl`	Markov Chain Estimation with In-Context Learning. CoRR Simon Lepage, Jérémie Mary, David Picard
2025	J	`jnl`	RefinedFields: Radiance Fields Refinement for Planar Scene Representations. Trans. Mach. Learn. Res. Karim Kassab, Antoine Schnepf, Jean-Yves Franceschi, Laurent Caraffa, Jérémie Mary, Valérie Gouet-Brunet
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	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
2023	J	`jnl`	EdiBERT: a generative model for image editing. Trans. Mach. Learn. Res. Thibaut Issenhuth, Ugo Tanielian, Jérémie Mary, David Picard
2023	J	`jnl`	EvE: Exploiting Generative Priors for Radiance Field Enrichment. CoRR Karim Kassab, Antoine Schnepf, Jean-Yves Franceschi, Laurent Caraffa, Jérémie Mary, Valérie Gouet-Brunet
2023	A*	`conf`	Unveiling the Latent Space Geometry of Push-Forward Generative Models. ICML Thibaut Issenhuth, Ugo Tanielian, Jérémie Mary, David Picard
2023	J	`jnl`	Weakly-Supervised Conditional Embedding for Referred Visual Search. CoRR Simon Lepage, Jérémie Mary, David Picard
2022	A	`conf`	Latent reweighting, an almost free improvement for GANs. WACV Thibaut Issenhuth, Ugo Tanielian, David Picard, Jérémie Mary
2022	A*	`conf`	Lessons from the AdKDD'21 Privacy-Preserving ML Challenge. WWW Eustache Diemert, Romain Fabre, Alexandre Gilotte, Fei Jia, Basile Leparmentier, Jérémie Mary, Zhonghua Qu, Ugo Tanielian, Hui Yang
2022	J	`jnl`	Lessons from the AdKDD'21 Privacy-Preserving ML Challenge. CoRR Eustache Diemert, Romain Fabre, Alexandre Gilotte, Fei Jia, Basile Leparmentier, Jérémie Mary, Zhonghua Qu, Ugo Tanielian, Hui Yang
2022	J	`jnl`	Optimal precision for GANs. CoRR Thibaut Issenhuth, Ugo Tanielian, Jérémie Mary, David Picard
2021	J	`jnl`	EdiBERT, a generative model for image editing. CoRR Thibaut Issenhuth, Ugo Tanielian, Jérémie Mary, David Picard
2021	J	`jnl`	Latent reweighting, an almost free improvement for GANs. CoRR Thibaut Issenhuth, Ugo Tanielian, David Picard, Jérémie Mary
2020	—	`conf`	Do Not Mask What You Do Not Need to Mask: A Parser-Free Virtual Try-On. ECCV (20) Thibaut Issenhuth, Jérémie Mary, Clément Calauzènes
2020	J	`jnl`	Do Not Mask What You Do Not Need to Mask: a Parser-Free Virtual Try-On. CoRR Thibaut Issenhuth, Jérémie Mary, Clément Calauzènes
2020	A*	`conf`	Learning disconnected manifolds: a no GAN's land. ICML Ugo Tanielian, Thibaut Issenhuth, Elvis Dohmatob, Jérémie Mary
2020	J	`jnl`	Learning disconnected manifolds: a no GANs land. CoRR Ugo Tanielian, Thibaut Issenhuth, Elvis Dohmatob, Jérémie Mary
2019	J	`jnl`	Distributionally Robust Reinforcement Learning. CoRR Elena Smirnova, Elvis Dohmatob, Jérémie Mary
2019	J	`jnl`	End-to-End Learning of Geometric Deformations of Feature Maps for Virtual Try-On. CoRR Thibaut Issenhuth, Jérémie Mary, Clément Calauzènes
2019	A*	`conf`	Fairness-Aware Learning for Continuous Attributes and Treatments. ICML Jérémie Mary, Clément Calauzènes, Noureddine El Karoui
2019	A*	`conf`	Tensorized Determinantal Point Processes for Recommendation. KDD Romain Warlop, Jérémie Mary, Mike Gartrell
2018	J	`jnl`	Basket Completion with Multi-task Determinantal Point Processes. CoRR Romain Warlop, Jérémie Mary, Mike Gartrell
2018	A*	`conf`	Fighting Boredom in Recommender Systems with Linear Reinforcement Learning. NeurIPS Romain Warlop, Alessandro Lazaric, Jérémie Mary
2018	J	`jnl`	Recurrent Neural Networks for Long and Short-Term Sequential Recommendation. CoRR Kiewan Villatel, Elena Smirnova, Jérémie Mary, Philippe Preux
2018	—	`conf`	Visual Reasoning with Multi-hop Feature Modulation. ECCV (5) Florian Strub, Mathieu Seurin, Ethan Perez, Harm de Vries, Jérémie Mary, Philippe Preux, Aaron C. Courville, Olivier Pietquin
2018	J	`jnl`	Visual Reasoning with Multi-hop Feature Modulation. CoRR Florian Strub, Mathieu Seurin, Ethan Perez, Harm de Vries, Jérémie Mary, Philippe Preux, Aaron C. Courville, Olivier Pietquin
2017	A*	`conf`	End-to-end optimization of goal-driven and visually grounded dialogue systems. IJCAI Florian Strub, Harm de Vries, Jérémie Mary, Bilal Piot, Aaron C. Courville, Olivier Pietquin
2017	J	`jnl`	End-to-end optimization of goal-driven and visually grounded dialogue systems. CoRR Florian Strub, Harm de Vries, Jérémie Mary, Bilal Piot, Aaron C. Courville, Olivier Pietquin
2017	—	`conf`	Modulating early visual processing by language. NIPS Harm de Vries, Florian Strub, Jérémie Mary, Hugo Larochelle, Olivier Pietquin, Aaron C. Courville
2017	J	`jnl`	Modulating early visual processing by language. CoRR Harm de Vries, Florian Strub, Jérémie Mary, Hugo Larochelle, Olivier Pietquin, Aaron C. Courville
2017	—	`conf`	Parallel Higher Order Alternating Least Square for Tensor Recommender System. AAAI Workshops Romain Warlop, Alessandro Lazaric, Jérémie Mary
2016	J	`jnl`	Consistent Algorithms for Clustering Time Series. J. Mach. Learn. Res. Azadeh Khaleghi, Daniil Ryabko, Jérémie Mary, Philippe Preux
2016	J	`jnl`	Hybrid Collaborative Filtering with Neural Networks. CoRR Florian Strub, Jérémie Mary, Romaric Gaudel
2016	—	`conf`	Hybrid Recommender System based on Autoencoders. DLRS@RecSys Florian Strub, Romaric Gaudel, Jérémie Mary
2016	J	`jnl`	Hybrid Recommender System based on Autoencoders. CoRR Florian Strub, Jérémie Mary, Romaric Gaudel
2015	—	`conf`	Bandits and Recommender Systems. MOD Jérémie Mary, Romaric Gaudel, Philippe Preux
2015	—	`book`	Data-Driven Recommender Systems: Sequences of recommendations. Jérémie Mary
2014	J	`jnl`	Bandits Warm-up Cold Recommender Systems. CoRR Jérémie Mary, Romaric Gaudel, Philippe Preux
2014	J	`jnl`	Cold-start Problems in Recommendation Systems via Contextual-bandit Algorithms. CoRR Hai Thanh Nguyen, Jérémie Mary, Philippe Preux
2014	A*	`conf`	Improving offline evaluation of contextual bandit algorithms via bootstrapping techniques. ICML Jérémie Mary, Philippe Preux, Olivier Nicol
2014	J	`jnl`	Improving offline evaluation of contextual bandit algorithms via bootstrapping techniques. CoRR Olivier Nicol, Jérémie Mary, Philippe Preux
2013	J	`jnl`	A binary-classification-based metric between time-series distributions and its use in statistical and learning problems. J. Mach. Learn. Res. Daniil Ryabko, Jérémie Mary
2012	—	`conf`	ICML Exploration & Exploitation Challenge: Keep it simple! ICML On-line Trading of Exploration and Exploitation Olivier Nicol, Jérémie Mary, Philippe Preux
2012	J	`jnl`	Managing advertising campaigns - an approximate planning approach. Frontiers Comput. Sci. Sertan Girgin, Jérémie Mary, Philippe Preux, Olivier Nicol
2012	A	`conf`	Online Clustering of Processes. AISTATS Azadeh Khaleghi, Daniil Ryabko, Jérémie Mary, Philippe Preux
2012	J	`jnl`	Reducing statistical time-series problems to binary classification CoRR Daniil Ryabko, Jérémie Mary
2012	—	`conf`	Reducing statistical time-series problems to binary classification. NIPS Daniil Ryabko, Jérémie Mary
2010	A*	`conf`	Advertising Campaigns Management: Should We Be Greedy? ICDM Sertan Girgin, Jérémie Mary, Philippe Preux, Olivier Nicol
2010	—	`conf`	Affichage de publicités sur des portails web. EGC Victor Gabillon, Jérémie Mary, Philippe Preux
2008	A	`conf`	Adaptive play in Texas Hold'em Poker. ECAI Raphaël Maîtrepierre, Jérémie Mary, Rémi Munos
2007	—	`conf`	Active learning in regression, with application to stochastic dynamic programming. ICINCO-ICSO Olivier Teytaud, Sylvain Gelly, Jérémie Mary
2006	B	`conf`	Learning for stochastic dynamic programming. ESANN Sylvain Gelly, Jérémie Mary, Olivier Teytaud
2006	A	`conf`	On the Ultimate Convergence Rates for Isotropic Algorithms and the Best Choices Among Various Forms of Isotropy. PPSN Olivier Teytaud, Sylvain Gelly, Jérémie Mary
2005	—	`conf`	Taylor-based pseudo-metrics for random process fitting in dynamic programming: expected loss minimization and risk management. CAP Sylvain Gelly, Jérémie Mary, Olivier Teytaud
2004	—	`conf`	Ensemble Feature Ranking. PKDD Kees Jong, Jérémie Mary, Antoine Cornuéjols, Elena Marchiori, Michèle Sebag