Jérémie Mary

According to our database, Jérémie Mary authored at least 43 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Exploring 3D-aware Latent Spaces for Efficiently Learning Numerous Scenes.

Antoine Schnepf, Karim Kassab, Jean-Yves Franceschi, Laurent Caraffa, Flavian Vasile, Jérémie Mary, Andrew Comport, Valérie Gouet-Brunet

CoRR, 2024

2023

EdiBERT: a generative model for image editing.

Thibaut Issenhuth, Ugo Tanielian, Jérémie Mary, David Picard

Trans. Mach. Learn. Res., 2023

EvE: Exploiting Generative Priors for Radiance Field Enrichment.

Karim Kassab, Antoine Schnepf, Jean-Yves Franceschi, Laurent Caraffa, Jérémie Mary, Valérie Gouet-Brunet

CoRR, 2023

Weakly-Supervised Conditional Embedding for Referred Visual Search.

Simon Lepage, Jérémie Mary, David Picard

CoRR, 2023

Unveiling the Latent Space Geometry of Push-Forward Generative Models.

Thibaut Issenhuth, Ugo Tanielian, Jérémie Mary, David Picard

Proceedings of the International Conference on Machine Learning, 2023

2022

Optimal precision for GANs.

Thibaut Issenhuth, Ugo Tanielian, Jérémie Mary, David Picard

CoRR, 2022

Lessons from the AdKDD'21 Privacy-Preserving ML Challenge.

Eustache Diemert, Romain Fabre, Alexandre Gilotte, Fei Jia, Basile Leparmentier, Jérémie Mary, Zhonghua Qu, Ugo Tanielian, Hui Yang

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Latent reweighting, an almost free improvement for GANs.

Thibaut Issenhuth, Ugo Tanielian, David Picard, Jérémie Mary

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

2020

Learning disconnected manifolds: a no GANs land.

Ugo Tanielian, Thibaut Issenhuth, Elvis Dohmatob, Jérémie Mary

CoRR, 2020

Learning disconnected manifolds: a no GAN's land.

Ugo Tanielian, Thibaut Issenhuth, Elvis Dohmatob, Jérémie Mary

Proceedings of the 37th International Conference on Machine Learning, 2020

Do Not Mask What You Do Not Need to Mask: A Parser-Free Virtual Try-On.

Thibaut Issenhuth, Jérémie Mary, Clément Calauzènes

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

End-to-End Learning of Geometric Deformations of Feature Maps for Virtual Try-On.

Thibaut Issenhuth, Jérémie Mary, Clément Calauzènes

CoRR, 2019

Distributionally Robust Reinforcement Learning.

Elena Smirnova, Elvis Dohmatob, Jérémie Mary

CoRR, 2019

Tensorized Determinantal Point Processes for Recommendation.

Romain Warlop, Jérémie Mary, Mike Gartrell

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Fairness-Aware Learning for Continuous Attributes and Treatments.

Jérémie Mary, Clément Calauzènes, Noureddine El Karoui

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Recurrent Neural Networks for Long and Short-Term Sequential Recommendation.

Kiewan Villatel, Elena Smirnova, Jérémie Mary, Philippe Preux

CoRR, 2018

Basket Completion with Multi-task Determinantal Point Processes.

Romain Warlop, Jérémie Mary, Mike Gartrell

CoRR, 2018

Fighting Boredom in Recommender Systems with Linear Reinforcement Learning.

Romain Warlop, Alessandro Lazaric, Jérémie Mary

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Visual Reasoning with Multi-hop Feature Modulation.

Florian Strub, Mathieu Seurin, Ethan Perez, Harm de Vries, Jérémie Mary, Philippe Preux, Aaron C. Courville, Olivier Pietquin

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Modulating early visual processing by language.

Harm de Vries, Florian Strub, Jérémie Mary, Hugo Larochelle, Olivier Pietquin, Aaron C. Courville

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

End-to-end optimization of goal-driven and visually grounded dialogue systems.

Florian Strub, Harm de Vries, Jérémie Mary, Bilal Piot, Aaron C. Courville, Olivier Pietquin

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Parallel Higher Order Alternating Least Square for Tensor Recommender System.

Romain Warlop, Alessandro Lazaric, Jérémie Mary

Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Consistent Algorithms for Clustering Time Series.

Azadeh Khaleghi, Daniil Ryabko, Jérémie Mary, Philippe Preux

J. Mach. Learn. Res., 2016

Hybrid Collaborative Filtering with Neural Networks.

Florian Strub, Jérémie Mary, Romaric Gaudel

CoRR, 2016

Hybrid Recommender System based on Autoencoders.

Florian Strub, Romaric Gaudel, Jérémie Mary

Proceedings of the 1st Workshop on Deep Learning for Recommender Systems, 2016

2015

Bandits and Recommender Systems.

Jérémie Mary, Romaric Gaudel, Philippe Preux

Proceedings of the Machine Learning, Optimization, and Big Data, 2015

Data-Driven Recommender Systems: Sequences of recommendations.

Jérémie Mary

, 2015

2014

Cold-start Problems in Recommendation Systems via Contextual-bandit Algorithms.

Hai Thanh Nguyen, Jérémie Mary, Philippe Preux

CoRR, 2014

Bandits Warm-up Cold Recommender Systems.

Jérémie Mary, Romaric Gaudel, Philippe Preux

CoRR, 2014

Improving offline evaluation of contextual bandit algorithms via bootstrapping techniques.

Jérémie Mary, Philippe Preux, Olivier Nicol

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

A binary-classification-based metric between time-series distributions and its use in statistical and learning problems.

Daniil Ryabko, Jérémie Mary

J. Mach. Learn. Res., 2013

2012

ICML Exploration & Exploitation Challenge: Keep it simple!

Olivier Nicol, Jérémie Mary, Philippe Preux

Proceedings of the Workshop on On-line Trading of Exploration and Exploitation 2, 2012

Online Clustering of Processes.

Azadeh Khaleghi, Daniil Ryabko, Jérémie Mary, Philippe Preux

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Managing advertising campaigns - an approximate planning approach.

Sertan Girgin, Jérémie Mary, Philippe Preux, Olivier Nicol

Frontiers Comput. Sci., 2012

Reducing statistical time-series problems to binary classification.

Daniil Ryabko, Jérémie Mary

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2010

Advertising Campaigns Management: Should We Be Greedy?

Sertan Girgin, Jérémie Mary, Philippe Preux, Olivier Nicol

Proceedings of the ICDM 2010, 2010

Affichage de publicités sur des portails web.

Victor Gabillon, Jérémie Mary, Philippe Preux

Proceedings of the Extraction et gestion des connaissances (EGC'2010), 2010

2008

Adaptive play in Texas Hold'em Poker.

Raphaël Maîtrepierre, Jérémie Mary, Rémi Munos

Proceedings of the ECAI 2008, 2008

2007

Active learning in regression, with application to stochastic dynamic programming.

Olivier Teytaud, Sylvain Gelly, Jérémie Mary

Proceedings of the ICINCO 2007, 2007

2006

On the Ultimate Convergence Rates for Isotropic Algorithms and the Best Choices Among Various Forms of Isotropy.

Olivier Teytaud, Sylvain Gelly, Jérémie Mary

Proceedings of the Parallel Problem Solving from Nature, 2006

Learning for stochastic dynamic programming.

Sylvain Gelly, Jérémie Mary, Olivier Teytaud

Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

2005

Taylor-based pseudo-metrics for random process fitting in dynamic programming: expected loss minimization and risk management.

Sylvain Gelly, Jérémie Mary, Olivier Teytaud

Proceedings of the Actes de CAP 05, Conférence francophone sur l'apprentissage automatique, 2005

2004

Ensemble Feature Ranking.

Kees Jong, Jérémie Mary, Antoine Cornuéjols, Elena Marchiori, Michèle Sebag

Proceedings of the Knowledge Discovery in Databases: PKDD 2004, 2004