Simon Jégou

13 papers Journal 11Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
KVzap: Fast, Adaptive, and Faithful KV Cache Pruning.
CoRR
Simon Jégou, Maximilian Jeblick
2025 J jnl
Expected Attention: KV Cache Compression by Estimating Attention from Future Queries Distribution.
CoRR
Alessio Devoto, Maximilian Jeblick, Simon Jégou
2024 J jnl
The STOIC2021 COVID-19 AI challenge: Applying reusable training methodologies to private data.
Medical Image Anal.
Luuk H. Boulogne, Julian Lorenz, Daniel Kienzle, Robin Schön, Katja Ludwig, Rainer Lienhart, Simon Jégou, Guang Li, Cong Chen, Qi Wang, Derik Shi, Mayug Maniparambil, Dominik Müller, Silvan Mertes, Niklas Schröter, Fabio Hellmann, Miriam Elia, Ine Dirks, Matías Nicolás Bossa, Abel Díaz Berenguer, Tanmoy Mukherjee, Jef Vandemeulebroucke, Hichem Sahli, Nikos Deligiannis, Panagiotis Gonidakis, Ngoc Dung Huynh, Imran Razzak, Mohamed Reda Bouadjenek, Mario Verdicchio, Pasquale Borrelli, Marco Aiello, James A. Meakin, Alexander Lemm, Christoph Russ, Razvan Ionasec, Nikos Paragios, Bram van Ginneken, Marie-Pierre Revel
2024 J jnl
Winning Amazon KDD Cup'24.
CoRR
Chris Deotte, Ivan Sorokin, Ahmet Erdem, Benedikt Schifferer, Gilberto Titericz, Simon Jégou
2023 J jnl
The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data.
CoRR
Luuk H. Boulogne, Julian Lorenz, Daniel Kienzle, Robin Schön, Katja Ludwig, Rainer Lienhart, Simon Jégou, Guang Li, Cong Chen, Qi Wang, Derik Shi, Mayug Maniparambil, Dominik Müller, Silvan Mertes, Niklas Schröter, Fabio Hellmann, Miriam Elia, Ine Dirks, Matías Nicolás Bossa, Abel Díaz Berenguer, Tanmoy Mukherjee, Jef Vandemeulebroucke, Hichem Sahli, Nikos Deligiannis, Panagiotis Gonidakis, Ngoc Dung Huynh, Imran Razzak, Mohamed Reda Bouadjenek, Mario Verdicchio, Pasquale Borrelli, Marco Aiello, James A. Meakin, Alexander Lemm, Christoph Russ, Razvan Ionasec, Nikos Paragios, Bram van Ginneken, Marie-Pierre Revel Dubois
2022 J jnl
General Image Descriptors for Open World Image Retrieval using ViT CLIP.
CoRR
Marcos V. Conde, Ivan Aerlic, Simon Jégou
2021 J jnl
Self supervised learning improves dMMR/MSI detection from histology slides across multiple cancers.
CoRR
Charlie Saillard, Olivier Dehaene, Tanguy Marchand, Olivier Moindrot, Aurélie Kamoun, Benoit Schmauch, Simon Jégou
2021 — conf
Self-supervised learning improves dMMR/MSI detection from histology slides across multiple cancers.
COMPAY@MICCAI
Charlie Saillard, Olivier Dehaene, Tanguy Marchand, Olivier Moindrot, Aurélie Kamoun, Benoit Schmauch, Simon Jégou
2021 J jnl
Using StyleGAN for Visual Interpretability of Deep Learning Models on Medical Images.
CoRR
Kathryn Schutte, Olivier Moindrot, Paul Hérent, Jean-Baptiste Schiratti, Simon Jégou
2018 J jnl
ToxicBlend: Virtual Screening of Toxic Compounds with Ensemble Predictors.
CoRR
Mikhail Zaslavskiy, Simon Jégou, Eric W. Tramel, Gilles Wainrib
2017 J jnl
Image Segmentation by Iterative Inference from Conditional Score Estimation.
CoRR
Adriana Romero, Michal Drozdzal, Akram Erraqabi, Simon Jégou, Yoshua Bengio
2017 — conf
The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation.
CVPR Workshops
Simon Jégou, Michal Drozdzal, David Vázquez, Adriana Romero, Yoshua Bengio
2016 J jnl
The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation.
CoRR
Simon Jégou, Michal Drozdzal, David Vázquez, Adriana Romero, Yoshua Bengio