Guillaume Charpiat

Documents

Publications

	dnadna: a deep learning framework for population genetics inference Théophile Sanchez , Erik Madison Bray , Pierre Jobic , Jérémy Guez , Anne-Catherine Letournel Bioinformatics, 2023, 39 (1), pp.btac765. ⟨10.1093/bioinformatics/btac765⟩ Journal articles hal-03352910v4
	Deep convolutional and conditional neural networks for large-scale genomic data generation Burak Yelmen , Aurélien Decelle , Leila Lea Boulos , Antoine Szatkownik , Cyril Furtlehner PLoS Computational Biology, 2023, 19 (10), pp.e1011584. ⟨10.1101/2023.03.07.530442⟩ Journal articles hal-04244818v1
	Deep learning for population size history inference: Design, comparison and combination with approximate Bayesian computation Théophile Sanchez , Jean Cury , Guillaume Charpiat , Flora Jay Molecular Ecology Resources, 2020, 21 (8), pp.2645-2660. ⟨10.1111/1755-0998.13224⟩ Journal articles hal-02942328v1
	Tropical Cyclone Track Forecasting using Fused Deep Learning from Aligned Reanalysis Data Sophie Giffard-Roisin , Mo Yang , Guillaume Charpiat , Christina Kumler Bonfanti , Balázs Kégl Frontiers in Big Data, 2020, 3, pp.1. ⟨10.3389/fdata.2020.00001⟩ Journal articles hal-02329437v2
	Recurrent Neural Networks to Correct Satellite Image Classification Maps Emmanuel Maggiori , Guillaume Charpiat , Yuliya Tarabalka , Pierre Alliez IEEE Transactions on Geoscience and Remote Sensing, 2017, 55 (9), pp.4962-4971. ⟨10.1109/TGRS.2017.2697453⟩ Journal articles hal-01660764v1
	Convolutional Neural Networks for Large-Scale Remote Sensing Image Classification Emmanuel Maggiori , Yuliya Tarabalka , Guillaume Charpiat , Pierre Alliez IEEE Transactions on Geoscience and Remote Sensing, 2017, 55, pp.645-657. ⟨10.1109/tgrs.2016.2612821⟩ Journal articles hal-01369906v1
	Online recognition of daily activities by color-depth sensing and knowledge models Carlos F Crispim-Junior , Alvaro Gómez Uría , Carola Strumia , Michal Koperski , Alexandra Konig Sensors, 2017, 17 (7), pp.1-15. ⟨10.3390/s17071528⟩ Journal articles hal-01658438v1
	High-Resolution Semantic Labeling with Convolutional Neural Networks Emmanuel Maggiori , Yuliya Tarabalka , Guillaume Charpiat , Pierre Alliez IEEE Transactions on Geoscience and Remote Sensing, 2017, 55 (12), pp.7092 - 7103. ⟨10.1109/TGRS.2017.2740362⟩ Journal articles hal-01393279v1
	Piecewise rigid curve deformation via a Finsler steepest descent Guillaume Charpiat , Giacomo Nardi , Gabriel Peyré , François-Xavier Vialard Interfaces and Free Boundaries : Mathematical Analysis, Computation and Applications, 2015, 18, pp.1-44. ⟨10.4171/ifb/355⟩ Journal articles hal-00849885v2
	Spatio-Temporal Video Segmentation with Shape Growth or Shrinkage Constraint Yuliya Tarabalka , Guillaume Charpiat , Ludovic Brucker , Bjoern Menze IEEE Transactions on Image Processing, 2014, 23 (9), pp.3829-3840 Journal articles hal-01052543v1
	Exploiting Temporal Coherence for Fire Mapping from MODIS Spaceborne Observations Yuliya Tarabalka , Guillaume Charpiat IEEE Earthzine, 2013 Journal articles hal-00915245v1
	Multiple Birth and Cut Algorithm for Multiple Object Detection Ahmed Gamal Eldin , Xavier Descombes , Guillaume Charpiat , Josiane Zerubia Journal of Multimedia Processing and Technologies, 2012 Journal articles hal-00616371v1
	Colorisation automatique d'images Guillaume Charpiat Interstices, 2010 Journal articles inria-00474683v1
	Generalized Gradients: Priors on Minimization Flows Guillaume Charpiat , Pierre Maurel , Jean-Philippe Pons , Renaud Keriven , Olivier Faugeras International Journal of Computer Vision, 2007, 73, pp.325 - 344. ⟨10.1007/s11263-006-9966-2⟩ Journal articles hal-01117529v1

	Time and State Dependent Neural Delay Differential Equations Thibault Monsel , Onofrio Semeraro , Lionel Mathelin , Guillaume Charpiat ML-DE@ECAI 2024 : Machine Learning Meets Differential Equations: From Theory to Applications, Sep 2024, Santiago de compostela, Galicia, Spain Conference papers hal-04794450v1
	Towards creating longer genetic sequences with GANs: Generation in principal component space Antoine Szatkownik , Cyril Furtlehner , Guillaume Charpiat , Burak Yelmen , Flora Jay MLCB 2023 - 18th Conference on Machine Learning in Computational Biology, Nov 2023, Seattle, United States Conference papers hal-04419057v1
	End-to-end learning of dynamical systems with the Mori-Zwanzig formalism Thibault Monsel , Lionel Mathelin , Onofrio Semeraro , Guillaume Charpiat CSE 2023 - SIAM Computational Science and Engineering, Feb 2023, Amsterdam, Netherlands Conference papers hal-04406551v1
	DS-GPS : A Deep Statistical Graph Poisson Solver Matthieu Nastorg , Marc Schoenauer , Guillaume Charpiat , Thibault Faney , Jean-Marc Gratien NeurIPS 2022 - Machine Learning and the Physical Sciences, workshop, Dec 2022, New-Orleans, United States Conference papers hal-03864015v1
	Partitionnement en régions linéaires pour la vérification formelle de réseaux de neurones Julien Girard-Satabin , Aymeric Varasse , Guillaume Charpiat , Zakaria Chihani , Marc Schoenauer Journées Francophones des Langages Applicatifs, Apr 2021, Saint Médard d’Excideuil, France Conference papers hal-03127853v1
	CAMUS: A Framework to Build Formal Specifications for Deep Perception Systems Using Simulators Julien Girard-Satabin , Guillaume Charpiat , Zakaria Chihani , Marc Schoenauer ECAI 2020 - 24th European Conference on Artificial Intelligence, Jun 2020, Santiago de Compostela, Spain Conference papers hal-02440520v1
	Noisy Supervision for Correcting Misaligned Cadaster Maps Without Perfect Ground Truth Data Nicolas Girard , Guillaume Charpiat , Yuliya Tarabalka IGARSS 2019 - IEEE International Geoscience and Remote Sensing Symposium, Jul 2019, Yokohama, Japan. pp.10103-10106, ⟨10.1109/IGARSS.2019.8898071⟩ Conference papers hal-02065211v1
	Input Similarity from the Neural Network Perspective Guillaume Charpiat , Nicolas Girard , Loris Felardos , Yuliya Tarabalka NeurIPS 2019 - 33th Annual Conference on Neural Information Processing Systems, Dec 2019, Vancouver, Canada Conference papers hal-02394647v1
	Multi-Task Deep Learning for Satellite Image Pansharpening and Segmentation Andrew Khalel , Onur Tasar , Guillaume Charpiat , Yuliya Tarabalka IGARSS 2019 - IEEE International Geoscience and Remote Sensing Symposium, Jul 2019, Yokohama, Japan. pp.4869-4872, ⟨10.1109/IGARSS.2019.8899851⟩ Conference papers hal-02276549v1
	Aligning and Updating Cadaster Maps with Aerial Images by Multi-Task, Multi-Resolution Deep Learning Nicolas Girard , Guillaume Charpiat , Yuliya Tarabalka Asian Conference on Computer Vision (ACCV), Dec 2018, Perth, Australia Conference papers hal-01923568v1
	The 2018 Climate Informatics Hackathon: Hurricane Intensity Forecast Sophie Giffard-Roisin , David Gagne , Alexandre Boucaud , Balázs Kégl , Mo Yang 8th International Workshop on Climate Informatics, Sep 2018, Boulder, CO, United States. pp.4 Conference papers hal-01924336v1
	Optimizing deep video representation to match brain activity Hugo Richard , Ana Pinho , Bertrand Thirion , Guillaume Charpiat CCN 2018 - Conference on Cognitive Computational Neuroscience, Sep 2018, Philadelphia, United States Conference papers hal-01868735v1
	Fused Deep Learning for Hurricane Track Forecast from Reanalysis Data Sophie Giffard-Roisin , Mo Yang , Guillaume Charpiat , Balázs Kégl , Claire Monteleoni Climate Informatics Workshop Proceedings 2018, Sep 2018, Boulder, United States. pp.69-72 Conference papers hal-01851001v1
	Multimodal image alignment through a multiscale chain of neural networks with application to remote sensing Armand Zampieri , Guillaume Charpiat , Nicolas Girard , Yuliya Tarabalka European Conference on Computer Vision (ECCV), Sep 2018, Munich, Germany. pp.679-696 Conference papers hal-01849389v1
	Deep Learning for Hurricane Track Forecasting from Aligned Spatio-temporal Climate Datasets Sophie Giffard-Roisin , Mo Yang , Guillaume Charpiat , Balázs Kégl , Claire Monteleoni Modeling and decision-making in the spatiotemporal domain NIPS workhop, Dec 2018, Montréal, Canada Conference papers hal-01905408v1
	SPI-DNA: End-to-end Deep Learning Approach for Demographic History Inference Théophile Sanchez , Guillaume Charpiat , Flora Jay Paris-Saclay Junior Conference on Data Science and Engineering, Sep 2017, Orsay, France Conference papers hal-01679385v1
	Can Semantic Labeling Methods Generalize to Any City? The Inria Aerial Image Labeling Benchmark Emmanuel Maggiori , Yuliya Tarabalka , Guillaume Charpiat , Pierre Alliez IEEE International Symposium on Geoscience and Remote Sensing (IGARSS), Jul 2017, Fort Worth, United States Conference papers hal-01468452v1
	High-resolution image classification with convolutional networks Emmanuel Maggiori , Yuliya Tarabalka , Guillaume Charpiat , Pierre Alliez IEEE International Geoscience and Remote Sensing Symposium - IGARSS 2017, Jul 2017, Fort Worth, United States Conference papers hal-01660754v1
	Polygonization of Remote Sensing Classification Maps by Mesh Approximation Emmanuel Maggiori , Yuliya Tarabalka , Guillaume Charpiat , Pierre Alliez ICIP 2017 - IEEE International Conference on Image Processing, Sep 2017, Beijing, China. pp.5 Conference papers hal-01530460v1
	Fully Convolutional Neural Networks For Remote Sensing Image Classification Emmanuel Maggiori , Yuliya Tarabalka , Guillaume Charpiat , Pierre Alliez IEEE International Geoscience and Remote Sensing Symposium, IEEE GRSS, Jul 2016, Beijing, China. pp.5071-5074 Conference papers hal-01350706v1
	A Nonparametric model for Brain Tumor Segmentation and Volumetry in Longitudinal MR Sequences Esther Alberts , Guillaume Charpiat , Yuliya Tarabalka , Thomas Huber , Marc-André Weber MICCAI Brain Lesion Workshop, Oct 2015, Munich, Germany Conference papers hal-01205916v1
	Optimizing Partition Trees for Multi-Object Segmentation with Shape Prior Emmanuel Maggiori , Yuliya Tarabalka , Guillaume Charpiat 26th British Machine Vision Conference, Sep 2015, Swansea, United Kingdom Conference papers hal-01182776v1
	Improved Partition Trees for Multi-Class Segmentation of Remote Sensing Images Emmanuel Maggiori , Yuliya Tarabalka , Guillaume Charpiat 2015 IEEE International Geoscience and Remote Sensing Symposium - IGARSS 2015, IEEE, Jul 2015, Milan, Italy Conference papers hal-01182772v1
	Multiple Object Tracking by Efficient Graph Partitioning Ratnesh Kumar , Guillaume Charpiat , Monique Thonnat ACCV - 12th Asian Conference on Computer Vision, Michael S. Brown and Tat-Jen Cham and Yasuyuki Matsushita, Nov 2014, Singapore, Singapore Conference papers hal-01061450v1
	Hierarchical Representation of Videos with Spatio-Temporal Fibers Ratnesh Kumar , Guillaume Charpiat , Monique Thonnat IEEE Winter Conference on Applications of Computer Vision, Mar 2014, Colorado, United States Conference papers hal-00911012v1
	Enforcing Monotonous Shape Growth or Shrinkage in Video Segmentation Yuliya Tarabalka , Guillaume Charpiat , Ludovic Brucker , Bjoern H. Menze BMVC - British Machine Vision Conference, Sep 2013, Bristol, United Kingdom Conference papers hal-00856634v1
	A Graph-Cut-Based Method for Spatio-Temporal Segmentation of Fire from Satellite Observations Yuliya Tarabalka , Guillaume Charpiat IEEE IGARSS - International Geoscience and Remote Sensing Symposium, Jul 2013, Melbourne, Australia Conference papers hal-00845691v1
	An efficient optimizer for simple point process models Ahmed Gamal Eldin , Guillaume Charpiat , Xavier Descombes , Josiane Zerubia SPIE, Computational Imaging XI, Feb 2013, Burlingame, California, United States. ⟨10.1117/12.2009238⟩ Conference papers hal-00801448v1
	Learning to Match Appearances by Correlations in a Covariance Metric Space Slawomir Bak , Guillaume Charpiat , Etienne Corvee , Francois Bremond , Monique Thonnat 12th European Conference on Computer Vision, Oct 2012, Florence, Italy. pp.806-820, ⟨10.1007/978-3-642-33712-3_58⟩ Conference papers hal-00731792v1
	Exhaustive Family of Energies Minimizable Exactly by a Graph Cut Guillaume Charpiat Computer Vision and Pattern Recognition, Jun 2011, Colorado Springs, United States Conference papers inria-00616370v1
	A Cognitive Vision System for Nuclear Fusion Device Monitoring Vincent Martin , Victor Moncada , Jean-Marcel Travere , Thierry Loarer , François Bremond 8th International Conference, ICVS 2011, Sep 2011, Sophia Antipolis, France. pp.163-172 Conference papers hal-00609876v1
	A fast multiple birth and cut algorithm using belief propagation Ahmed Gamal Eldin , Xavier Descombes , Guillaume Charpiat , Josiane Zerubia ICIP 2011 (International Conference on Image Processing), Sep 2011, Bruxelles, Belgium Conference papers inria-00592446v1
	Converting Level Set Gradients to Shape Gradients Siqi Chen , Guillaume Charpiat , Richard J. Radke 11th European Conference on Computer Vision, Sep 2010, Hersonissos, Greece Conference papers inria-00497222v1
	Learning Shape Metrics based on Deformations and Transport Guillaume Charpiat Second Workshop on Non-Rigid Shape Analysis and Deformable Image Alignment, Sep 2009, Kyoto, Japan Conference papers inria-00481535v1
	Automatic Image Colorization via Multimodal Predictions Guillaume Charpiat , Matthias Hofmann , Bernhard Schölkopf European Conference on Computer Vision, Sep 2008, Marseille, France Conference papers inria-00481552v1
	Distance-Based Shape Statistics Guillaume Charpiat , Pierre Maurel , Olivier Faugeras , Renaud Keriven 31st International Conference on Acoustics, Speech, and Signal Processing, May 2006, Toulouse, France. pp.V925-V928, ⟨10.1109/ICASSP.2006.1661428⟩ Conference papers inria-00608087v1

	Time and State Dependent Neural Delay Differential Equations Thibault Monsel , Onofrio Semeraro , Lionel Mathelin , Guillaume Charpiat ML-DE@ECAI 2024 : Machine Learning Meets Differential Equations: From Theory to Applications, Sep 2024, Santiago de compostela, Galicia, Spain Conference poster hal-04794800v1
	End-to-End Deep Learning Approach for Demographic History Inference Théophile Sanchez , Guillaume Charpiat , Flora Jay Human Evolution: Fossils, Ancient and Modern Genomes 2017, Nov 2017, Hinxton, Cambridge, United Kingdom Conference poster hal-01823543v1

	Machine Learning Methods for Automatic Image Colorization Guillaume Charpiat , Ilja Bezrukov , Yasemin Altun , Matthias Hofmann , Bernhard Schölkopf R. Lukac Editor. Computational Photography: Methods and Applications, CRC Press, 2011 Book sections inria-00481561v1
	Kernel methods in medical imaging Guillaume Charpiat , Matthias Hofmann , Bernhard Schölkopf Paragios, N. and J. Duncan and N. Ayache. Handbook of Biomedical Imaging, Springer, 2010 Book sections inria-00481569v1
	Approximations of Shape Metrics and Application to Shape Warping and Empirical Shape Statistics Guillaume Charpiat , Olivier Faugeras , Renaud Keriven , Pierre Maurel Krim, Hamid and Yezzi, Anthony. Statistics and Analysis of Shapes, Birkhäuser, pp.363--395, 2006, 978-0-8176-4481-9. ⟨10.1007/0-8176-4481-4_15⟩ Book sections hal-01117516v1

	Neural DDEs with Learnable Delays for Partially Observed Dynamical Systems Thibault Monsel , Emmanuel Menier , Lionel Mathelin , Onofrio Semeraro , Guillaume Charpiat 2024 Preprints, Working Papers, ... hal-04715748v1
	Latent generative modeling of long genetic sequences with GANs Antoine Szatkownik , Cyril Furtlehner , Guillaume Charpiat , Burak Yelmen , Flora Jay 2024 Preprints, Working Papers, ... hal-04801130v1
	Growing Tiny Networks: Spotting Expressivity Bottlenecks and Fixing Them Optimally Manon Verbockhaven , Sylvain Chevallier , Guillaume Charpiat 2024 Preprints, Working Papers, ... hal-04591472v1
	An Implicit GNN Solver for Poisson-like problems Matthieu Nastorg , Michele Alessandro Bucci , Thibault Faney , Jean-Marc Gratien , Guillaume Charpiat 2024 Preprints, Working Papers, ... hal-03970501v3
	Multi-Level GNN Preconditioner for Solving Large Scale Problems Matthieu Nastorg , Jean-Marc Gratien , Thibault Faney , Michele Alessandro Bucci , Guillaume Charpiat 2024 Preprints, Working Papers, ... hal-04447099v1
	Time and State Dependent Neural Delay Differential Equations Thibault Monsel , Onofrio Semeraro , Lionel Mathelin , Guillaume Charpiat 2023 Preprints, Working Papers, ... hal-04125875v3
	Designing losses for data-free training of normalizing flows on Boltzmann distributions Loris Felardos , Jérôme Hénin , Guillaume Charpiat 2023 Preprints, Working Papers, ... hal-03936982v1
	Docent: A content-based recommendation system to discover contemporary art Antoine Fosset , Mohamed El-Mennaoui , Amine Rebei , Paul Calligaro , Elise Farge Di Maria 2022 Preprints, Working Papers, ... hal-04415857v1
	SE(3)-equivariant Graph Neural Networks for Learning Glassy Liquids Representations Francesco Saverio Pezzicoli , Guillaume Charpiat , François P. Landes 2022 Preprints, Working Papers, ... hal-03868206v3
	Machine learning model for gas-liquid interface reconstruction in CFD numerical simulations Tamon Nakano , Michele Alessandro Bucci , Jean-Marc Gratien , Thibault Faney , Guillaume Charpiat 2022 Preprints, Working Papers, ... hal-03721729v1
	DISCO Verification: Division of Input Space into COnvex polytopes for neural network verification Julien Girard-Satabin , Aymeric Varasse , Marc Schoenauer , Guillaume Charpiat , Zakaria Chihani 2021 Preprints, Working Papers, ... hal-03227439v1
	Interpreting a Penalty as the Influence of a Bayesian Prior Pierre Wolinski , Guillaume Charpiat , Yann Ollivier 2020 Preprints, Working Papers, ... hal-02466702v1
	CAMUS: A Framework to Build Formal Specifications for Deep Perception Systems Using Simulators Julien Girard-Satabin , Guillaume Charpiat , Zakaria Chihani , Marc Schoenauer 2019 Preprints, Working Papers, ... hal-02374956v1
	Coarse to fine non-rigid registration: a chain of scale-specific neural networks for multimodal image alignment with application to remote sensing Armand Zampieri , Guillaume Charpiat , Yuliya Tarabalka 2018 Preprints, Working Papers, ... hal-01718263v1
	Learning Iterative Processes with Recurrent Neural Networks to Correct Satellite Image Classification Maps Emmanuel Maggiori , Guillaume Charpiat , Yuliya Tarabalka , Pierre Alliez 2016 Preprints, Working Papers, ... hal-01388551v1
	Training recurrent networks online without backtracking Yann Ollivier , Guillaume Charpiat 2015 Preprints, Working Papers, ... hal-01228954v1

	Multi-label segmentation of images with partition trees Emmanuel Maggiori , Yuliya Tarabalka , Guillaume Charpiat [Research Report] Inria Sophia Antipolis. 2014 Reports hal-01084166v1
	Variational, Geometric and Statistical Methods for Modeling Brain Anatomy and Function Olivier Faugeras , Geoffray Adde , Guillaume Charpiat , Christophe Chefd'Hotel , Maureen Clerc RR-5202, INRIA. 2004, pp.22 Reports inria-00070790v1
	Approximations of shape metrics and application to shape warping and empirical shape statistics Guillaume Charpiat , Olivier Faugeras , Renaud Keriven RR-4820, INRIA. 2003 Reports inria-00071766v1

	Distance-based shape statistics for image segmentation with priors Guillaume Charpiat Human-Computer Interaction [cs.HC]. Ecole Polytechnique X, 2006. English. ⟨NNT : ⟩ Theses tel-00457462v1

Guillaume Charpiat

Publications

dnadna: a deep learning framework for population genetics inference

Deep convolutional and conditional neural networks for large-scale genomic data generation

Deep learning for population size history inference: Design, comparison and combination with approximate Bayesian computation

Tropical Cyclone Track Forecasting using Fused Deep Learning from Aligned Reanalysis Data

Recurrent Neural Networks to Correct Satellite Image Classification Maps

Convolutional Neural Networks for Large-Scale Remote Sensing Image Classification

Online recognition of daily activities by color-depth sensing and knowledge models

High-Resolution Semantic Labeling with Convolutional Neural Networks

Piecewise rigid curve deformation via a Finsler steepest descent

Spatio-Temporal Video Segmentation with Shape Growth or Shrinkage Constraint

Exploiting Temporal Coherence for Fire Mapping from MODIS Spaceborne Observations

Multiple Birth and Cut Algorithm for Multiple Object Detection

Colorisation automatique d'images

Generalized Gradients: Priors on Minimization Flows

Time and State Dependent Neural Delay Differential Equations

Towards creating longer genetic sequences with GANs: Generation in principal component space

End-to-end learning of dynamical systems with the Mori-Zwanzig formalism

DS-GPS : A Deep Statistical Graph Poisson Solver

Partitionnement en régions linéaires pour la vérification formelle de réseaux de neurones

CAMUS: A Framework to Build Formal Specifications for Deep Perception Systems Using Simulators

Noisy Supervision for Correcting Misaligned Cadaster Maps Without Perfect Ground Truth Data

Input Similarity from the Neural Network Perspective

Multi-Task Deep Learning for Satellite Image Pansharpening and Segmentation

Aligning and Updating Cadaster Maps with Aerial Images by Multi-Task, Multi-Resolution Deep Learning

The 2018 Climate Informatics Hackathon: Hurricane Intensity Forecast

Optimizing deep video representation to match brain activity

Fused Deep Learning for Hurricane Track Forecast from Reanalysis Data

Multimodal image alignment through a multiscale chain of neural networks with application to remote sensing

Deep Learning for Hurricane Track Forecasting from Aligned Spatio-temporal Climate Datasets

SPI-DNA: End-to-end Deep Learning Approach for Demographic History Inference

Can Semantic Labeling Methods Generalize to Any City? The Inria Aerial Image Labeling Benchmark

High-resolution image classification with convolutional networks

Polygonization of Remote Sensing Classification Maps by Mesh Approximation

Fully Convolutional Neural Networks For Remote Sensing Image Classification

A Nonparametric model for Brain Tumor Segmentation and Volumetry in Longitudinal MR Sequences

Optimizing Partition Trees for Multi-Object Segmentation with Shape Prior

Improved Partition Trees for Multi-Class Segmentation of Remote Sensing Images

Multiple Object Tracking by Efficient Graph Partitioning

Hierarchical Representation of Videos with Spatio-Temporal Fibers

Enforcing Monotonous Shape Growth or Shrinkage in Video Segmentation

A Graph-Cut-Based Method for Spatio-Temporal Segmentation of Fire from Satellite Observations

An efficient optimizer for simple point process models

Learning to Match Appearances by Correlations in a Covariance Metric Space

Exhaustive Family of Energies Minimizable Exactly by a Graph Cut

A Cognitive Vision System for Nuclear Fusion Device Monitoring

A fast multiple birth and cut algorithm using belief propagation

Converting Level Set Gradients to Shape Gradients

Learning Shape Metrics based on Deformations and Transport

Automatic Image Colorization via Multimodal Predictions

Distance-Based Shape Statistics

Time and State Dependent Neural Delay Differential Equations

End-to-End Deep Learning Approach for Demographic History Inference

Machine Learning Methods for Automatic Image Colorization

Kernel methods in medical imaging

Approximations of Shape Metrics and Application to Shape Warping and Empirical Shape Statistics

Neural DDEs with Learnable Delays for Partially Observed Dynamical Systems

Latent generative modeling of long genetic sequences with GANs

Growing Tiny Networks: Spotting Expressivity Bottlenecks and Fixing Them Optimally

An Implicit GNN Solver for Poisson-like problems

Multi-Level GNN Preconditioner for Solving Large Scale Problems

Time and State Dependent Neural Delay Differential Equations

Designing losses for data-free training of normalizing flows on Boltzmann distributions

Docent: A content-based recommendation system to discover contemporary art

SE(3)-equivariant Graph Neural Networks for Learning Glassy Liquids Representations

Machine learning model for gas-liquid interface reconstruction in CFD numerical simulations

DISCO Verification: Division of Input Space into COnvex polytopes for neural network verification

Interpreting a Penalty as the Influence of a Bayesian Prior

CAMUS: A Framework to Build Formal Specifications for Deep Perception Systems Using Simulators

Coarse to fine non-rigid registration: a chain of scale-specific neural networks for multimodal image alignment with application to remote sensing

Learning Iterative Processes with Recurrent Neural Networks to Correct Satellite Image Classification Maps

Training recurrent networks online without backtracking

Multi-label segmentation of images with partition trees

Variational, Geometric and Statistical Methods for Modeling Brain Anatomy and Function

Approximations of shape metrics and application to shape warping and empirical shape statistics

Distance-based shape statistics for image segmentation with priors