
Guillaume Charpiat
77
Documents
Publications
Publications
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Growth strategies for arbitrary DAG neural architecturesESANN 2025 - 33th European Symposium on Artificial Neural Networks, Apr 2025, Bruges, Belgium
Communication dans un congrès
hal-04902059
v2
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Multi-Level GNN Preconditioner for Solving Large Scale Problems2024 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), May 2024, San Francisco (CA, USA), United States. pp.486-495, ⟨10.1109/IPDPSW63119.2024.00101⟩
Communication dans un congrès
hal-04447099
v1
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Time and State Dependent Neural Delay Differential EquationsML-DE@ECAI 2024 : Machine Learning Meets Differential Equations: From Theory to Applications, Sep 2024, Santiago de compostela, Galicia, Spain
Communication dans un congrès
hal-04794450
v1
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Towards creating longer genetic sequences with GANs: Generation in principal component spaceMLCB 2023 - 18th Conference on Machine Learning in Computational Biology, Nov 2023, Seattle, United States
Communication dans un congrès
hal-04419057
v1
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End-to-end learning of dynamical systems with the Mori-Zwanzig formalismSIAM Conference on Computational Science and Engineering (CSE23), Feb 2023, Amsterdam, Netherlands
Communication dans un congrès
hal-04406551
v1
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DS-GPS : A Deep Statistical Graph Poisson SolverNeurIPS 2022 - Machine Learning and the Physical Sciences, workshop, Dec 2022, New-Orleans, United States
Communication dans un congrès
hal-03864015
v1
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Partitionnement en régions linéaires pour la vérification formelle de réseaux de neuronesJournées Francophones des Langages Applicatifs, Apr 2021, Saint Médard d’Excideuil, France
Communication dans un congrès
hal-03127853
v1
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CAMUS: A Framework to Build Formal Specifications for Deep Perception Systems Using SimulatorsECAI 2020 - 24th European Conference on Artificial Intelligence, Jun 2020, Santiago de Compostela, Spain
Communication dans un congrès
hal-02440520
v1
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Noisy Supervision for Correcting Misaligned Cadaster Maps Without Perfect Ground Truth DataIGARSS 2019 - IEEE International Geoscience and Remote Sensing Symposium, Jul 2019, Yokohama, Japan. pp.10103-10106, ⟨10.1109/IGARSS.2019.8898071⟩
Communication dans un congrès
hal-02065211
v1
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Input Similarity from the Neural Network PerspectiveNeurIPS 2019 - 33th Annual Conference on Neural Information Processing Systems, Dec 2019, Vancouver, Canada
Communication dans un congrès
hal-02394647
v1
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Multi-Task Deep Learning for Satellite Image Pansharpening and SegmentationIGARSS 2019 - IEEE International Geoscience and Remote Sensing Symposium, Jul 2019, Yokohama, Japan. pp.4869-4872, ⟨10.1109/IGARSS.2019.8899851⟩
Communication dans un congrès
hal-02276549
v1
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The 2018 Climate Informatics Hackathon: Hurricane Intensity Forecast8th International Workshop on Climate Informatics, Sep 2018, Boulder, CO, United States. pp.4
Communication dans un congrès
hal-01924336
v1
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Aligning and Updating Cadaster Maps with Aerial Images by Multi-Task, Multi-Resolution Deep LearningAsian Conference on Computer Vision (ACCV), Dec 2018, Perth, Australia
Communication dans un congrès
hal-01923568
v1
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Deep Learning for Hurricane Track Forecasting from Aligned Spatio-temporal Climate DatasetsModeling and decision-making in the spatiotemporal domain NIPS workhop, Dec 2018, Montréal, Canada
Communication dans un congrès
hal-01905408
v1
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Multimodal image alignment through a multiscale chain of neural networks with application to remote sensingEuropean Conference on Computer Vision (ECCV), Sep 2018, Munich, Germany. pp.679-696, ⟨10.1007/978-3-030-01270-0_40⟩
Communication dans un congrès
hal-01849389
v1
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Optimizing deep video representation to match brain activityCCN 2018 - Conference on Cognitive Computational Neuroscience, Sep 2018, Philadelphia, United States
Communication dans un congrès
hal-01868735
v1
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Fused Deep Learning for Hurricane Track Forecast from Reanalysis DataClimate Informatics Workshop Proceedings 2018, Sep 2018, Boulder, United States. pp.69-72
Communication dans un congrès
hal-01851001
v1
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Can Semantic Labeling Methods Generalize to Any City? The Inria Aerial Image Labeling BenchmarkIEEE International Symposium on Geoscience and Remote Sensing (IGARSS), Jul 2017, Fort Worth, United States. pp.3226-3229, ⟨10.1109/IGARSS.2017.8127684⟩
Communication dans un congrès
hal-01468452
v1
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High-resolution image classification with convolutional networksIEEE International Geoscience and Remote Sensing Symposium - IGARSS 2017, Jul 2017, Fort Worth, United States
Communication dans un congrès
hal-01660754
v1
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Polygonization of Remote Sensing Classification Maps by Mesh ApproximationICIP 2017 - IEEE International Conference on Image Processing, Sep 2017, Beijing, China. pp.560-564, ⟨10.1109/ICIP.2017.8296343⟩
Communication dans un congrès
hal-01530460
v1
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SPI-DNA: End-to-end Deep Learning Approach for Demographic History InferenceParis-Saclay Junior Conference on Data Science and Engineering, Sep 2017, Orsay, France
Communication dans un congrès
hal-01679385
v1
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Fully Convolutional Neural Networks For Remote Sensing Image ClassificationIEEE International Geoscience and Remote Sensing Symposium, IEEE GRSS, Jul 2016, Beijing, China. pp.5071-5074
Communication dans un congrès
hal-01350706
v1
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Optimizing Partition Trees for Multi-Object Segmentation with Shape Prior26th British Machine Vision Conference, Sep 2015, Swansea, United Kingdom
Communication dans un congrès
hal-01182776
v1
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A Nonparametric model for Brain Tumor Segmentation and Volumetry in Longitudinal MR SequencesMICCAI Brain Lesion Workshop, Oct 2015, Munich, Germany
Communication dans un congrès
hal-01205916
v1
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Improved Partition Trees for Multi-Class Segmentation of Remote Sensing Images2015 IEEE International Geoscience and Remote Sensing Symposium - IGARSS 2015, IEEE, Jul 2015, Milan, Italy
Communication dans un congrès
hal-01182772
v1
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Hierarchical Representation of Videos with Spatio-Temporal FibersIEEE Winter Conference on Applications of Computer Vision, Mar 2014, Colorado, United States
Communication dans un congrès
hal-00911012
v1
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Multiple Object Tracking by Efficient Graph PartitioningACCV - 12th Asian Conference on Computer Vision, Michael S. Brown and Tat-Jen Cham and Yasuyuki Matsushita, Nov 2014, Singapore, Singapore
Communication dans un congrès
hal-01061450
v1
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An efficient optimizer for simple point process modelsSPIE, Computational Imaging XI, Feb 2013, Burlingame, CA, United States. ⟨10.1117/12.2009238⟩
Communication dans un congrès
hal-00801448
v1
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Enforcing Monotonous Shape Growth or Shrinkage in Video SegmentationBMVC - British Machine Vision Conference, Sep 2013, Bristol, United Kingdom
Communication dans un congrès
hal-00856634
v1
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A Graph-Cut-Based Method for Spatio-Temporal Segmentation of Fire from Satellite ObservationsIEEE IGARSS - International Geoscience and Remote Sensing Symposium, Jul 2013, Melbourne, Australia
Communication dans un congrès
hal-00845691
v1
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Learning to Match Appearances by Correlations in a Covariance Metric Space12th European Conference on Computer Vision, Oct 2012, Florence, Italy. pp.806-820, ⟨10.1007/978-3-642-33712-3_58⟩
Communication dans un congrès
hal-00731792
v1
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A fast multiple birth and cut algorithm using belief propagationICIP 2011 (International Conference on Image Processing), Sep 2011, Bruxelles, Belgium
Communication dans un congrès
inria-00592446
v1
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A Cognitive Vision System for Nuclear Fusion Device Monitoring8th International Conference, ICVS 2011, Sep 2011, Sophia Antipolis, France. pp.163-172
Communication dans un congrès
hal-00609876
v1
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Exhaustive Family of Energies Minimizable Exactly by a Graph CutComputer Vision and Pattern Recognition, Jun 2011, Colorado Springs, United States
Communication dans un congrès
inria-00616370
v1
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Converting Level Set Gradients to Shape Gradients11th European Conference on Computer Vision, Sep 2010, Hersonissos, Greece
Communication dans un congrès
inria-00497222
v1
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Learning Shape Metrics based on Deformations and TransportSecond Workshop on Non-Rigid Shape Analysis and Deformable Image Alignment, Sep 2009, Kyoto, Japan
Communication dans un congrès
inria-00481535
v1
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Automatic Image Colorization via Multimodal PredictionsEuropean Conference on Computer Vision, Sep 2008, Marseille, France
Communication dans un congrès
inria-00481552
v1
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Distance-Based Shape Statistics31st International Conference on Acoustics, Speech, and Signal Processing, May 2006, Toulouse, France. pp.V925-V928, ⟨10.1109/ICASSP.2006.1661428⟩
Communication dans un congrès
inria-00608087
v1
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Time and State Dependent Neural Delay Differential EquationsML-DE@ECAI 2024 : Machine Learning Meets Differential Equations: From Theory to Applications, Sep 2024, Santiago de compostela, Galicia, Spain
Poster de conférence
hal-04794800
v1
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End-to-End Deep Learning Approach for Demographic History InferenceHuman Evolution: Fossils, Ancient and Modern Genomes 2017, Nov 2017, Hinxton, Cambridge, United Kingdom
Poster de conférence
hal-01823543
v1
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Machine Learning Methods for Automatic Image ColorizationR. Lukac Editor. Computational Photography: Methods and Applications, CRC Press, 2011
Chapitre d'ouvrage
inria-00481561
v1
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Kernel methods in medical imagingParagios, N. and J. Duncan and N. Ayache. Handbook of Biomedical Imaging, Springer, 2010
Chapitre d'ouvrage
inria-00481569
v1
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Approximations of Shape Metrics and Application to Shape Warping and Empirical Shape StatisticsKrim, 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⟩
Chapitre d'ouvrage
hal-01117516
v1
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Multi-label segmentation of images with partition trees[Research Report] Inria Sophia Antipolis. 2014
Rapport
(rapport de recherche)
hal-01084166
v1
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Variational, Geometric and Statistical Methods for Modeling Brain Anatomy and FunctionRR-5202, INRIA. 2004, pp.22
Rapport
inria-00070790
v1
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Approximations of shape metrics and application to shape warping and empirical shape statisticsRR-4820, INRIA. 2003
Rapport
inria-00071766
v1
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Distance-based shape statistics for image segmentation with priorsHuman-Computer Interaction [cs.HC]. Ecole Polytechnique X, 2006. English. ⟨NNT : ⟩
Thèse
tel-00457462
v1
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