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papers

Publications (16)

cs.CV2020

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

Thibaut Issenhuth, Jérémie Mary, Clément Calauzènes

cs.LG2014

Bandits Warm-up Cold Recommender Systems

Jérémie Mary, Romaric Gaudel, Preux Philippe

cs.CV2024

LRVS-Fashion: Extending Visual Search with Referring Instructions

Simon Lepage, Jérémie Mary, David Picard

cs.LG2022

Lessons from the AdKDD'21 Privacy-Preserving ML Challenge

Eustache Diemert, Romain Fabre, Alexandre Gilotte +6

cs.CV2017

Modulating early visual processing by language

Harm de Vries, Florian Strub, Jérémie Mary +3

cs.CV2018

Visual Reasoning with Multi-hop Feature Modulation

Florian Strub, Mathieu Seurin, Ethan Perez +5

cs.LG2023

Unveiling the Latent Space Geometry of Push-Forward Generative Models

Thibaut Issenhuth, Ugo Tanielian, Jérémie Mary +1

cs.IR2014

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

Hai Thanh Nguyen, Jérémie Mary, Philippe Preux

stat.ML2014

Improving offline evaluation of contextual bandit algorithms via bootstrapping techniques

Olivier Nicol, Jérémie Mary, Philippe Preux

cs.IR2018

Recurrent Neural Networks for Long and Short-Term Sequential Recommendation

Kiewan Villatel, Elena Smirnova, Jérémie Mary +1

stat.ML2018

Multi-Task Determinantal Point Processes for Recommendation

Romain Warlop, Jérémie Mary, Mike Gartrell

cs.LG2013

Reducing statistical time-series problems to binary classification

Daniil Ryabko, Jérémie Mary

stat.ML2019

Distributionally Robust Reinforcement Learning

Elena Smirnova, Elvis Dohmatob, Jérémie Mary

cs.CV2019

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

Thibaut Issenhuth, Jérémie Mary, Clément Calauzènes

cs.LG2017

Hybrid Recommender System based on Autoencoders

Florian Strub, Romaric Gaudel, Jérémie Mary

cs.CV2022

EdiBERT, a generative model for image editing

Thibaut Issenhuth, Ugo Tanielian, Jérémie Mary +1