Jean Ogier du Terrail

15 papers A* 3B 1Journal 9Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	This Time is Different: An Observability Perspective on Time Series Foundation Models. CoRR Ben Cohen, Emaad Khwaja, Youssef Doubli, Salahidine Lemaachi, Chris Lettieri, Charles Masson, Hugo Miccinilli, Elise Ramé, Qiqi Ren, Afshin Rostamizadeh, Jean Ogier du Terrail, Anna-Monica Toon, Kan Wang, Stephan Xie, Zongzhe Xu, Viktoriya Zhukova, David Asker, Ameet Talwalkar, Othmane Abou-Amal
2023	J	`jnl`	FedECA: A Federated External Control Arm Method for Causal Inference with Time-To-Event Data in Distributed Settings. CoRR Jean Ogier du Terrail, Quentin Klopfenstein, Honghao Li, Imke Mayer, Nicolas Loiseau, Mohammad Hallal, Félix Balazard, Mathieu Andreux
2023	J	`jnl`	SRATTA : Sample Re-ATTribution Attack of Secure Aggregation in Federated Learning. CoRR Tanguy Marchand, Régis Loeb, Ulysse Marteau-Ferey, Jean Ogier du Terrail, Arthur Pignet
2023	A*	`conf`	SRATTA: Sample Re-ATTribution Attack of Secure Aggregation in Federated Learning. ICML Tanguy Marchand, Regis Loeb, Ulysse Marteau-Ferey, Jean Ogier du Terrail, Arthur Pignet
2022	A*	`conf`	FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings. NeurIPS Jean Ogier du Terrail, Samy-Safwan Ayed, Edwige Cyffers, Felix Grimberg, Chaoyang He, Regis Loeb, Paul Mangold, Tanguy Marchand, Othmane Marfoq, Erum Mushtaq, Boris Muzellec, Constantin Philippenko, Santiago Silva, Maria Telenczuk, Shadi Albarqouni, Salman Avestimehr, Aurélien Bellet, Aymeric Dieuleveut, Martin Jaggi, Sai Praneeth Karimireddy, Marco Lorenzi, Giovanni Neglia, Marc Tommasi, Mathieu Andreux
2022	J	`jnl`	FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings. CoRR Jean Ogier du Terrail, Samy-Safwan Ayed, Edwige Cyffers, Felix Grimberg, Chaoyang He, Regis Loeb, Paul Mangold, Tanguy Marchand, Othmane Marfoq, Erum Mushtaq, Boris Muzellec, Constantin Philippenko, Santiago Silva, Maria Telenczuk, Shadi Albarqouni, Salman Avestimehr, Aurélien Bellet, Aymeric Dieuleveut, Martin Jaggi, Sai Praneeth Karimireddy, Marco Lorenzi, Giovanni Neglia, Marc Tommasi, Mathieu Andreux
2022	A*	`conf`	SecureFedYJ: a safe feature Gaussianization protocol for Federated Learning. NeurIPS Tanguy Marchand, Boris Muzellec, Constance Beguier, Jean Ogier du Terrail, Mathieu Andreux
2022	J	`jnl`	SecureFedYJ: a safe feature Gaussianization protocol for Federated Learning. CoRR Tanguy Marchand, Boris Muzellec, Constance Beguier, Jean Ogier du Terrail, Mathieu Andreux
2021	J	`jnl`	Differentially Private Federated Learning for Cancer Prediction. CoRR Constance Beguier, Jean Ogier du Terrail, Iqraa Meah, Mathieu Andreux, Eric W. Tramel
2020	J	`jnl`	Siloed Federated Learning for Multi-Centric Histopathology Datasets. CoRR Mathieu Andreux, Jean Ogier du Terrail, Constance Beguier, Eric W. Tramel
2020	—	`conf`	Siloed Federated Learning for Multi-centric Histopathology Datasets. DART/DCL@MICCAI Mathieu Andreux, Jean Ogier du Terrail, Constance Beguier, Eric W. Tramel
2018	J	`jnl`	Faster RER-CNN: application to the detection of vehicles in aerial images. CoRR Jean Ogier du Terrail, Frédéric Jurie
2018	J	`jnl`	Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks. CoRR Shivang Agarwal, Jean Ogier du Terrail, Frédéric Jurie
2018	—	`—`	Réseaux de neurones convolutionnels profonds pour la détection de petits véhicules en imagerie aérienne. (Deep neural networks for the detection of small vehicles in aerial imagery). Jean Ogier du Terrail
2017	B	`conf`	On the use of deep neural networks for the detection of small vehicles in ortho-images. ICIP Jean Ogier du Terrail, Frédéric Jurie