Guillaume Charpiat

70 papers A* 5A 4B 2C 8Journal 35Unranked 14

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Growth strategies for arbitrary DAG neural architectures. CoRR Stella Douka, Manon Verbockhaven, Théo Rudkiewicz, Stéphane Rivaud, François P. Landes, Sylvain Chevallier, Guillaume Charpiat
2025	J	`jnl`	PRIVET: Privacy Metric Based on Extreme Value Theory. CoRR Antoine Szatkownik, Aurélien Decelle, Beatriz Seoane, Nicolas Béreux, Léo Planche, Guillaume Charpiat, Burak Yelmen, Flora Jay, Cyril Furtlehner
2024	J	`jnl`	An implicit GNN solver for Poisson-like problems. Comput. Math. Appl. Matthieu Nastorg, Michele Alessandro Bucci, Thibault Faney, Jean-Marc Gratien, Guillaume Charpiat, Marc Schoenauer
2024	J	`jnl`	Growing Tiny Networks: Spotting Expressivity Bottlenecks and Fixing Them Optimally. CoRR Manon Verbockhaven, Sylvain Chevallier, Guillaume Charpiat
2024	J	`jnl`	Growing Tiny Networks: Spotting Expressivity Bottlenecks and Fixing Them Optimally. Trans. Mach. Learn. Res. Manon Verbockhaven, Théo Rudkiewicz, Sylvain Chevallier, Guillaume Charpiat
2024	—	`conf`	Multi-Level GNN Preconditioner for Solving Large Scale Problems. IPDPS (Workshops) Matthieu Nastorg, Jean-Marc Gratien, Thibault Faney, Michele Alessandro Bucci, Guillaume Charpiat, Marc Schoenauer
2024	J	`jnl`	Multi-Level GNN Preconditioner for Solving Large Scale Problems. CoRR Matthieu Nastorg, Jean-Marc Gratien, Thibault Faney, Michele Alessandro Bucci, Guillaume Charpiat, Marc Schoenauer
2024	J	`jnl`	Neural DDEs with Learnable Delays for Partially Observed Dynamical Systems. CoRR Thibault Monsel, Emmanuel Menier, Onofrio Semeraro, Lionel Mathelin, Guillaume Charpiat
2024	—	`conf`	Time and State Dependent Neural Delay Differential Equations. ML-DE Thibault Monsel, Onofrio Semeraro, Lionel Mathelin, Guillaume Charpiat
2023	J	`jnl`	An Implicit GNN Solver for Poisson-like problems. CoRR Matthieu Nastorg, Michele Alessandro Bucci, Thibault Faney, Jean-Marc Gratien, Guillaume Charpiat, Marc Schoenauer
2023	J	`jnl`	Deep convolutional and conditional neural networks for large-scale genomic data generation. PLoS Comput. Biol. Burak Yelmen, Aurélien Decelle, Leila Lea Boulos, Antoine Szatkownik, Cyril Furtlehner, Guillaume Charpiat, Flora Jay
2023	J	`jnl`	Designing losses for data-free training of normalizing flows on Boltzmann distributions. CoRR Loris Felardos, Jérôme Hénin, Guillaume Charpiat
2023	J	`jnl`	Neural State-Dependent Delay Differential Equations. CoRR Thibault Monsel, Onofrio Semeraro, Lionel Mathelin, Guillaume Charpiat
2023	—	`conf`	Towards creating longer genetic sequences with GANs: Generation in principal component space. MLCB Antoine Szatkownik, Cyril Furtlehner, Guillaume Charpiat, Burak Yelmen, Flora Jay
2022	J	`jnl`	DS-GPS : A Deep Statistical Graph Poisson Solver (for faster CFD simulations). CoRR Matthieu Nastorg, Marc Schoenauer, Guillaume Charpiat, Thibault Faney, Jean-Marc Gratien, Michele Alessandro Bucci
2022	J	`jnl`	Docent: A content-based recommendation system to discover contemporary art. CoRR Antoine Fosset, Mohamed El-Mennaoui, Amine Rebei, Paul Calligaro, Elise Farge Di Maria, Hélène Nguyen-Ban, Francesca Rea, Marie-Charlotte Vallade, Elisabetta Vitullo, Christophe Zhang, Guillaume Charpiat, Mathieu Rosenbaum
2022	J	`jnl`	Machine Learning model for gas-liquid interface reconstruction in CFD numerical simulations. CoRR Tamon Nakano, Alessandro Michele Bucci, Jean-Marc Gratien, Thibault Faney, Guillaume Charpiat
2022	J	`jnl`	SE(3)-equivariant Graph Neural Networks for Learning Glassy Liquids Representations. CoRR Francesco Saverio Pezzicoli, Guillaume Charpiat, François P. Landes
2021	J	`jnl`	DISCO Verification: Division of Input Space into COnvex polytopes for neural network verification. CoRR Julien Girard-Satabin, Aymeric Varasse, Marc Schoenauer, Guillaume Charpiat, Zakaria Chihani
2021	J	`jnl`	Input Similarity from the Neural Network Perspective. CoRR Guillaume Charpiat, Nicolas Girard, Loris Felardos, Yuliya Tarabalka
2020	A	`conf`	CAMUS: A Framework to Build Formal Specifications for Deep Perception Systems Using Simulators. ECAI Julien Girard-Satabin, Guillaume Charpiat, Zakaria Chihani, Marc Schoenauer
2020	J	`jnl`	Interpreting a Penalty as the Influence of a Bayesian Prior. CoRR Pierre Wolinski, Guillaume Charpiat, Yann Ollivier
2020	J	`jnl`	Tropical Cyclone Track Forecasting Using Fused Deep Learning From Aligned Reanalysis Data. Frontiers Big Data Sophie Giffard-Roisin, Mo Yang, Guillaume Charpiat, Christina Kumler-Bonfanti, Balázs Kégl, Claire Monteleoni
2019	J	`jnl`	CAMUS: A Framework to Build Formal Specifications for Deep Perception Systems Using Simulators. CoRR Julien Girard-Satabin, Guillaume Charpiat, Zakaria Chihani, Marc Schoenauer
2019	A*	`conf`	Input Similarity from the Neural Network Perspective. NeurIPS Guillaume Charpiat, Nicolas Girard, Loris Felardos, Yuliya Tarabalka
2019	C	`conf`	Multi-Task Deep Learning for Satellite Image Pansharpening and Segmentation. IGARSS Andrew Khalel, Onur Tasar, Guillaume Charpiat, Yuliya Tarabalka
2019	C	`conf`	Noisy Supervision for Correcting Misaligned Cadaster Maps Without Perfect Ground Truth Data. IGARSS Nicolas Girard, Guillaume Charpiat, Yuliya Tarabalka
2019	J	`jnl`	Noisy Supervision for Correcting Misaligned Cadaster Maps Without Perfect Ground Truth Data. CoRR Nicolas Girard, Guillaume Charpiat, Yuliya Tarabalka
2019	J	`jnl`	Tropical Cyclone Track Forecasting using Fused Deep Learning from Aligned Reanalysis Data. CoRR Sophie Giffard-Roisin, Mo Yang, Guillaume Charpiat, Christina Kumler-Bonfanti, Balázs Kégl, Claire Monteleoni
2018	—	`conf`	Aligning and Updating Cadaster Maps with Aerial Images by Multi-task, Multi-resolution Deep Learning. ACCV (5) Nicolas Girard, Guillaume Charpiat, Yuliya Tarabalka
2018	J	`jnl`	Coarse to fine non-rigid registration: a chain of scale-specific neural networks for multimodal image alignment with application to remote sensing. CoRR Armand Zampieri, Guillaume Charpiat, Yuliya Tarabalka
2018	—	`conf`	Multimodal Image Alignment Through a Multiscale Chain of Neural Networks with Application to Remote Sensing. ECCV (16) Armand Zampieri, Guillaume Charpiat, Nicolas Girard, Yuliya Tarabalka
2018	J	`jnl`	Optimizing deep video representation to match brain activity. CoRR Hugo Richard, Ana Luísa Pinho, Bertrand Thirion, Guillaume Charpiat
2017	C	`conf`	Can semantic labeling methods generalize to any city? the inria aerial image labeling benchmark. IGARSS Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat, Pierre Alliez
2017	J	`jnl`	Convolutional Neural Networks for Large-Scale Remote-Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat, Pierre Alliez
2017	J	`jnl`	High-Resolution Aerial Image Labeling With Convolutional Neural Networks. IEEE Trans. Geosci. Remote. Sens. Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat, Pierre Alliez
2017	C	`conf`	High-resolution image classification with convolutional networks. IGARSS Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat, Pierre Alliez
2017	J	`jnl`	Online Recognition of Daily Activities by Color-Depth Sensing and Knowledge Models. Sensors Carlos Fernando Crispim Junior, Alvaro Gómez Uría, Carola Strumia, Michal Koperski, Alexandra König, Farhood Negin, Serhan Cosar, Anh-Tuan Nghiem, Duc Phu Chau, Guillaume Charpiat, François Brémond
2017	B	`conf`	Polygonization of remote sensing classification maps by mesh approximation. ICIP Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat, Pierre Alliez
2017	J	`jnl`	Recurrent Neural Networks to Correct Satellite Image Classification Maps. IEEE Trans. Geosci. Remote. Sens. Emmanuel Maggiori, Guillaume Charpiat, Yuliya Tarabalka, Pierre Alliez
2016	C	`conf`	Fully convolutional neural networks for remote sensing image classification. IGARSS Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat, Pierre Alliez
2016	J	`jnl`	High-Resolution Semantic Labeling with Convolutional Neural Networks. CoRR Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat, Pierre Alliez
2016	J	`jnl`	Recurrent Neural Networks to Enhance Satellite Image Classification Maps. CoRR Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat, Pierre Alliez
2015	—	`conf`	A Nonparametric Growth Model for Brain Tumor Segmentation in Longitudinal MR Sequences. Brainles@MICCAI Esther Alberts, Guillaume Charpiat, Yuliya Tarabalka, Thomas Huber, Marc-André Weber, Jan S. Bauer, Claus Zimmer, Bjoern H. Menze
2015	C	`conf`	Improved partition trees for multi-class segmentation of remote sensing images. IGARSS Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat
2015	A	`conf`	Optimizing Partition Trees for Multi-Object Segmentation with Shape Prior. BMVC Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat
2015	J	`jnl`	Training recurrent networks online without backtracking. CoRR Yann Ollivier, Guillaume Charpiat
2014	A	`conf`	Hierarchical representation of videos with spatio-temporal fibers. WACV Ratnesh Kumar, Guillaume Charpiat, Monique Thonnat
2014	—	`conf`	Multiple Object Tracking by Efficient Graph Partitioning. ACCV (4) Ratnesh Kumar, Guillaume Charpiat, Monique Thonnat
2014	J	`jnl`	Spatio-Temporal Video Segmentation With Shape Growth or Shrinkage Constraint. IEEE Trans. Image Process. Yuliya Tarabalka, Guillaume Charpiat, Ludovic Brucker, Bjoern H. Menze
2013	C	`conf`	A graph-cut-based method for spatio-temporal segmentation of fire from satellite observations. IGARSS Yuliya Tarabalka, Guillaume Charpiat
2013	—	`conf`	An efficient optimizer for simple point process models. Computational Imaging Ahmed Gamal-Eldin, Guillaume Charpiat, Xavier Descombes, Josiane Zerubia
2013	A	`conf`	Enforcing Monotonous Shape Growth or Shrinkage in Video Segmentation. BMVC Yuliya Tarabalka, Guillaume Charpiat, Ludovic Brucker, Bjoern H. Menze
2012	—	`conf`	Learning to Match Appearances by Correlations in a Covariance Metric Space. ECCV (3) Slawomir Bak, Guillaume Charpiat, Etienne Corvée, François Brémond, Monique Thonnat
2011	C	`conf`	A Cognitive Vision System for Nuclear Fusion Device Monitoring. ICVS Vincent Martin, Victor Moncada, Jean-Marcel Travere, Thierry Loarer, François Brémond, Guillaume Charpiat, Monique Thonnat
2011	B	`conf`	A fast Multiple Birth and Cut algorithm using belief propagation. ICIP Ahmed Gamal-Eldin, Xavier Descombes, Guillaume Charpiat, Josiane Zerubia
2011	A*	`conf`	Exhaustive family of energies minimizable exactly by a graph cut. CVPR Guillaume Charpiat
2010	—	`conf`	Converting Level Set Gradients to Shape Gradients. ECCV (5) Siqi Chen, Guillaume Charpiat, Richard J. Radke
2010	J	`jnl`	Multiple Birth and Cut Algorithm for Multiple Object Detection. J. Multim. Process. Technol. Ahmed Gamal-Eldin, Xavier Descombes, Guillaume Charpiat, Josiane Zerubia
2009	—	`conf`	Learning shape metrics based on deformations and transport. ICCV Workshops Guillaume Charpiat
2008	—	`conf`	Automatic Image Colorization Via Multimodal Predictions. ECCV (3) Guillaume Charpiat, Matthias Hofmann, Bernhard Schölkopf
2007	J	`jnl`	Generalized Gradients: Priors on Minimization Flows. Int. J. Comput. Vis. Guillaume Charpiat, Pierre Maurel, Jean-Philippe Pons, Renaud Keriven, Olivier D. Faugeras
2007	A*	`conf`	Shape Statistics for Image Segmentation with Prior. CVPR Guillaume Charpiat, Olivier D. Faugeras, Renaud Keriven
2006	—	`ch.`	Approximations of Shape Metrics and Application to Shape Warping and Empirical Shape Statistics. Statistics and Analysis of Shapes Guillaume Charpiat, Olivier D. Faugeras, Renaud Keriven, Pierre Maurel
2006	—	`conf`	Distance-Based Shape Statistics. ICASSP (5) Guillaume Charpiat, Olivier D. Faugeras, Renaud Keriven, Pierre Maurel
2006	—	`—`	Distance-based shape statistics for image segmentation with priors. (Statistiques de formes pour la segmentation d'images avec a priori). Guillaume Charpiat
2005	J	`jnl`	Approximations of Shape Metrics and Application to Shape Warping and Empirical Shape Statistics. Found. Comput. Math. Guillaume Charpiat, Olivier D. Faugeras, Renaud Keriven
2005	A*	`conf`	Designing Spatially Coherent Minimizing Flows for Variational Problems Based on Active Contours. ICCV Guillaume Charpiat, Renaud Keriven, Jean-Philippe Pons, Olivier D. Faugeras
2005	A*	`conf`	Image Statistics Based on Diffeomorphic Matching. ICCV Guillaume Charpiat, Olivier D. Faugeras, Renaud Keriven
2003	—	`conf`	Shape metrics, warping and statistics. ICIP (2) Guillaume Charpiat, Olivier D. Faugeras, Renaud Keriven