Lucas Drumetz

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 83

Top Topics

Symmetric Positive Definite

Top Venues

Publications

Raphaël Baena, Lucas Drumetz, Vincent Gripon
Local Mixup: Interpolation of closest input signals to prevent manifold intrusion. Signal Process. 219 (2024)
Anthony Frion, Lucas Drumetz, Guillaume Tochon, Mauro Dalla Mura, Albdeldjalil Aïssa El Bey
Koopman Ensembles for Probabilistic Time Series Forecasting. CoRR (2024)
Naoufal El Bekri, Lucas Drumetz, Franck Vermet
Time Changed Normalizing Flows for Accurate SDE Modeling. ICASSP (2024)
Raphaël Baena, Lucas Drumetz, Vincent Gripon
On Transfer in Classification: How Well do Subsets of Classes Generalize? CoRR (2024)
Tanmoy Mondal, Ricardo Mendoza, Lucas Drumetz
Physics Informed and Data Driven Simulation of Underwater Images via Residual Learning. CoRR (2024)
Clément Bonet, Lucas Drumetz, Nicolas Courty
Sliced-Wasserstein Distances and Flows on Cartan-Hadamard Manifolds. CoRR (2024)
Aymane Abdali, Vincent Gripon, Lucas Drumetz, Bartosz Boguslawski
Active Learning for Efficient Few-Shot Classification. ICASSP (2023)
Yassir Bendou, Lucas Drumetz, Vincent Gripon, Giulia Lioi, Bastien Pasdeloup
Disambiguation of One-Shot Visual Classification Tasks: A Simplex-Based Approach. CoRR (2023)
Raphaël Baena, Lucas Drumetz, Vincent Gripon
Entropy Based Feature Regularization to Improve Transferability of Deep Learning Models. ICASSP (2023)
Clément Bonet, Benoît Malézieux, Alain Rakotomamonjy, Lucas Drumetz, Thomas Moreau, Matthieu Kowalski, Nicolas Courty
Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals. CoRR (2023)
Clément Bonet, Laetitia Chapel, Lucas Drumetz, Nicolas Courty
Hyperbolic Sliced-Wasserstein via Geodesic and Horospherical Projections. TAG-ML (2023)
Anthony Frion, Lucas Drumetz, Mauro Dalla Mura, Guillaume Tochon, Abdeldjalil Aïssa-El-Bey
Neural Koopman prior for data assimilation. CoRR (2023)
Yassine El Ouahidi, Lucas Drumetz, Giulia Lioi, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon
Spatial Graph Signal Interpolation with an Application for Merging BCI Datasets with Various Dimensionalities. ICASSP (2023)
Anthony Frion, Lucas Drumetz, Mauro Dalla Mura, Guillaume Tochon, Abdeldjalil Aïssa-El-Bey
Leveraging Neural Koopman Operators to Learn Continuous Representations of Dynamical Systems from Scarce Data. ICASSP (2023)
Guillaume Morel, Lucas Drumetz, Simon Benaïchouche, Nicolas Courty, François Rousseau
Turning Normalizing Flows into Monge Maps with Geodesic Gaussian Preserving Flows. Trans. Mach. Learn. Res. 2023 (2023)
Paul Aimé, Lucas Drumetz, Mauro Dalla Mura, Touria Bajjouk, René Garello
Consistency and Ambiguities of Quality No Reference Metric for Pansharpening. IGARSS (2023)
Clément Bonet, Benoît Malézieux, Alain Rakotomamonjy, Lucas Drumetz, Thomas Moreau, Matthieu Kowalski, Nicolas Courty
Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals. ICML (2023)
Anthony Frion, Lucas Drumetz, Guillaume Tochon, Mauro Dalla Mura, Abdeldjalil Aïssa-El-Bey
Learning Sentinel-2 reflectance dynamics for data-driven assimilation and forecasting. CoRR (2023)
Mohamad Jouni, Mauro Dalla Mura, Lucas Drumetz, Pierre Comon
MultiHU-TD: Multifeature Hyperspectral Unmixing Based on Tensor Decomposition. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Clément Bonet, Paul Berg, Nicolas Courty, François Septier, Lucas Drumetz, Minh-Tan Pham
Spherical Sliced-Wasserstein. ICLR (2023)
Naoufal El Bekri, Lucas Drumetz, Franck Vermet
Time-changed normalizing flows for accurate SDE modeling. CoRR (2023)
Anthony Frion, Lucas Drumetz, Guillaume Tochon, Mauro Dalla Mura, Abdeldjalil Aïssa-El-Bey
Learning Sentinel-2 Reflectance Dynamics for Data-Driven Assimilation and Forecasting. EUSIPCO (2023)
Anthony Frion, Lucas Drumetz, Mauro Dalla Mura, Guillaume Tochon, Abdeldjalil Aïssa-El-Bey
Leveraging Neural Koopman Operators to Learn Continuous Representations of Dynamical Systems from Scarce Data. CoRR (2023)
Raphaël Baena, Lucas Drumetz, Vincent Gripon
A Local Mixup to Prevent Manifold Intrusion. EUSIPCO (2022)
Clément Bonet, Laetitia Chapel, Lucas Drumetz, Nicolas Courty
Hyperbolic Sliced-Wasserstein via Geodesic and Horospherical Projections. CoRR (2022)
Yassine El Ouahidi, Lucas Drumetz, Giulia Lioi, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon
Spatial Graph Signal Interpolation with an Application for Merging BCI Datasets with Various Dimensionalities. CoRR (2022)
Elodie Martinez, Anouar Brini, Thomas Gorgues, Lucas Drumetz, Joana Roussillon, Pierre Tandeo, Guillaume Maze, Ronan Fablet
Correction: Martinez et al. Neural Network Approaches to Reconstruct Phytoplankton Time-Series in the Global Ocean. Remote Sens. 12, 2020, 4156. Remote. Sens. 14 (22) (2022)
Raphael Baena, Lucas Drumetz, Vincent Gripon
Preventing Manifold Intrusion with Locality: Local Mixup. CoRR (2022)
Clément Bonet, Paul Berg, Nicolas Courty, François Septier, Lucas Drumetz, Minh-Tan Pham
Spherical Sliced-Wasserstein. CoRR (2022)
Guillaume Morel, Lucas Drumetz, Nicolas Courty, François Rousseau, Simon Benaïchouche
Turning Normalizing Flows into Monge Maps with Geodesic Gaussian Preserving Flows. CoRR (2022)
Clément Bonet, Nicolas Courty, François Septier, Lucas Drumetz
Efficient Gradient Flows in Sliced-Wasserstein Space. Trans. Mach. Learn. Res. 2022 (2022)
Aymane Abdali, Vincent Gripon, Lucas Drumetz, Bartosz Boguslawski
Active Few-Shot Classification: a New Paradigm for Data-Scarce Learning Settings. CoRR (2022)
Raphaël Baena, Lucas Drumetz, Vincent Gripon
Preserving Fine-Grain Feature Information in Classification via Entropic Regularization. CoRR (2022)
Ronan Fablet, Maxime Beauchamp, Lucas Drumetz, François Rousseau
Joint Interpolation and Representation Learning for Irregularly Sampled Satellite-Derived Geophysical Fields. Frontiers Appl. Math. Stat. 7 (2021)
Mounia Hamidouche, Carlos Lassance, Yuqing Hu, Lucas Drumetz, Bastien Pasdeloup, Vincent Gripon
Improving Classification Accuracy with Graph Filtering. CoRR (2021)
Clément Bonet, Titouan Vayer, Nicolas Courty, François Septier, Lucas Drumetz
Subspace Detours Meet Gromov-Wasserstein. Algorithms 14 (12) (2021)
Jing Qin, Harlin Lee, Jocelyn T. Chi, Lucas Drumetz, Jocelyn Chanussot, Yifei Lou, Andrea L. Bertozzi
Blind Hyperspectral Unmixing Based on Graph Total Variation Regularization. IEEE Trans. Geosci. Remote. Sens. 59 (4) (2021)
Noura Dridi, Lucas Drumetz, Ronan Fablet
Learning stochastic dynamical systems with neural networks mimicking the Euler-Maruyama scheme. CoRR (2021)
Raphael Baena, Lucas Drumetz, Vincent Gripon
Inferring Graph Signal Translations as Invariant Transformations for Classification Tasks. EUSIPCO (2021)
Lucas Drumetz, Alexandre Reiffers-Masson, Naoufal El Bekri, Franck Vermet
Geometry-Preserving Lie Group Integrators for Differential Equations on the Manifold of Symmetric Positive Definite Matrices. GSI (2) (2021)
Carlos Lassance, Myriam Bontonou, Mounia Hamidouche, Bastien Pasdeloup, Lucas Drumetz, Vincent Gripon
Graphs as Tools to Improve Deep Learning Methods. CoRR (2021)
Said Ouala, Ronan Fablet, Lucas Drumetz, Bertrand Chapron, Ananda Pascual, Fabrice Collard, Lucile Gaultier
End-to-End Kalman Filter for the Reconstruction of Sea Surface Dynamics from Satellite Data. IGARSS (2021)
Clément Bonet, Nicolas Courty, François Septier, Lucas Drumetz
Subspace Detours Meet Gromov-Wasserstein. CoRR (2021)
Mounia Hamidouche, Carlos Lassance, Yuqing Hu, Lucas Drumetz, Bastien Pasdeloup, Vincent Gripon
Improving Classification Accuracy With Graph Filtering. ICIP (2021)
Joaquim Estopinan, Guillaume Tochon, Lucas Drumetz
Learning Sentinel-2 Spectral Dynamics for Long-Run Predictions using Residual Neural Networks. EUSIPCO (2021)
Noura Dridi, Lucas Drumetz, Ronan Fablet
Learning stochastic dynamical systems with neural networks mimicking the Euler-Maruyama scheme. EUSIPCO (2021)
Raphael Baena, Lucas Drumetz, Vincent Gripon
Inferring Graph Signal Translations as Invariant Transformations for Classification Tasks. CoRR (2021)
Ronan Fablet, Lucas Drumetz, François Rousseau
End-to-End Learning of Variational Models and Solvers for the Resolution of Interpolation Problems. ICASSP (2021)
Clément Bonet, Nicolas Courty, François Septier, Lucas Drumetz
Sliced-Wasserstein Gradient Flows. CoRR (2021)
Redouane Lguensat, Ronan Fablet, Julien Le Sommer, Sammy Metref, Emmanuel Cosme, Kaouther Ouenniche, Lucas Drumetz, Jonathan Gula
Filtering Internal Tides from Wide-Swath Altimeter Data Using Convolutional Neural Networks. IGARSS (2020)
Elodie Martinez, Anouar Brini, Thomas Gorgues, Lucas Drumetz, Joana Roussillon, Pierre Tandeo, Guillaume Maze, Ronan Fablet
Neural Network Approaches to Reconstruct Phytoplankton Time-Series in the Global Ocean. Remote. Sens. 12 (24) (2020)
François Rousseau, Lucas Drumetz, Ronan Fablet
Residual Networks as Flows of Diffeomorphisms. J. Math. Imaging Vis. 62 (3) (2020)
Duong Nguyen, Said Ouala, Lucas Drumetz, Ronan Fablet
Assimilation-Based Learning of Chaotic Dynamical Systems from Noisy and Partial Data. ICASSP (2020)
Lucas Drumetz, Jocelyn Chanussot, Christian Jutten
Spectral Unmixing: A Derivation of the Extended Linear Mixing Model From the Hapke Model. IEEE Geosci. Remote. Sens. Lett. 17 (11) (2020)
Ronan Fablet, Lucas Drumetz, François Rousseau
Joint learning of variational representations and solvers for inverse problems with partially-observed data. CoRR (2020)
Ronan Fablet, Bertrand Chapron, Lucas Drumetz, Étienne Mémin, Olivier Pannekoucke, François Rousseau
Learning Variational Data Assimilation Models and Solvers. CoRR (2020)
Duong Nguyen, Said Ouala, Lucas Drumetz, Ronan Fablet
Variational Deep Learning for the Identification and Reconstruction of Chaotic and Stochastic Dynamical Systems from Noisy and Partial Observations. CoRR (2020)
Lucas Drumetz, Jocelyn Chanussot, Christian Jutten, Wing-Kin Ma, Akira Iwasaki
Spectral Variability Aware Blind Hyperspectral Image Unmixing Based on Convex Geometry. IEEE Trans. Image Process. 29 (2020)
Redouane Lguensat, Ronan Fablet, Julien Le Sommer, Sammy Metref, Emmanuel Cosme, Kaouther Ouenniche, Lucas Drumetz, Jonathan Gula
Filtering Internal Tides From Wide-Swath Altimeter Data Using Convolutional Neural Networks. CoRR (2020)
Said Ouala, Ronan Fablet, Lucas Drumetz, Bertrand Chapron, Ananda Pascual, Fabrice Collard, Lucile Gaultier
Physically Informed Neural Networks for the Simulation and Data-Assimilation of Geophysical Dynamics. IGARSS (2020)
Lucas Drumetz, Mauro Dalla Mura, Guillaume Tochon, Ronan Fablet
Learning Endmember Dynamics in Multitemporal Hyperspectral Data Using A State-Space Model Formulation. ICASSP (2020)
Ronan Fablet, Julien Le Sommer, J. M. Molines, Lucas Drumetz, François Rousseau, Bertrand Chapron
Learning Differential Transport Operators for the Joint Super-Resolution of Sea Surface Tracers and Prediction of Subgrid-Scale Features. IGARSS (2019)
Said Ouala, Duong Nguyen, Lucas Drumetz, Bertrand Chapron, Ananda Pascual, Fabrice Collard, Lucile Gaultier, Ronan Fablet
Learning Latent Dynamics for Partially-Observed Chaotic Systems. CoRR (2019)
Edurne Ibarrola-Ulzurrun, Lucas Drumetz, Javier Marcello, Consuelo Gonzalo-Martín, Jocelyn Chanussot
Hyperspectral Classification Through Unmixing Abundance Maps Addressing Spectral Variability. IEEE Trans. Geosci. Remote. Sens. 57 (7) (2019)
Said Ouala, Duong Nguyen, Cédric Herzet, Lucas Drumetz, Bertrand Chapron, Ananda Pascual, Fabrice Collard, Lucile Gaultier, Ronan Fablet
Learning Ocean Dynamical Priors from Noisy Data Using Assimilation-Derived Neural Nets. IGARSS (2019)
Duong Nguyen, Said Ouala, Lucas Drumetz, Ronan Fablet
EM-like Learning Chaotic Dynamics from Noisy and Partial Observations. CoRR (2019)
Ronan Fablet, Lucas Drumetz, François Rousseau
End-to-end learning of energy-based representations for irregularly-sampled signals and images. CoRR (2019)
Said Ouala, Ronan Fablet, Cédric Herzet, Lucas Drumetz, Bertrand Chapron, Ananda Pascual, Fabrice Collard, Lucile Gaultier
Sea Surface Dynamics Reconstruction Using Neural Networks Based Kalman Filter. IGARSS (2019)
Lucas Drumetz, Travis R. Meyer, Jocelyn Chanussot, Andrea L. Bertozzi, Christian Jutten
Hyperspectral Image Unmixing With Endmember Bundles and Group Sparsity Inducing Mixed Norms. IEEE Trans. Image Process. 28 (7) (2019)
Touria Bajjouk, Ichrak Zarati, Lucas Drumetz, Mauro Dalla Mura
Spatial Characterization Of Marine Vegetation Using Semisupervised Hyperspectral Unmixing. WHISPERS (2019)
Lucas Drumetz, Jocelyn Chanussot, Akira Iwasaki
Endmembers as Directional Data for Robust Material Variability Retrieval in Hyperspectral Image Unmixing. ICASSP (2018)
Edurne Ibarrola-Ulzurrun, Lucas Drumetz, Jocelyn Chanussot, Javier Marcello, Consuelo Gonzalo-Martín
Classification Using Unmixing Models in Areas With Substantial Endmember Variability. WHISPERS (2018)
Edurne Ibarrola-Ulzurrun, Lucas Drumetz, Jocelyn Chanussot, Consuelo Gonzalo-Martín, Javier Marcello
Extended Linear Mixing Model in an Ecosytem with High Spectral Variability. IGARSS (2018)
Lucas Drumetz, Guillaume Tochon, Jocelyn Chanussot, Christian Jutten
Estimating the Number of Endmembers to Use in Spectral Unmixing of Hyperspectral Data with Collaborative Sparsity. LVA/ICA (2017)
Lucas Drumetz, Bahram Ehsandoust, Jocelyn Chanussot, Bertrand Rivet, Massoud Babaie-Zadeh, Christian Jutten
Relationships Between Nonlinear and Space-Variant Linear Models in Hyperspectral Image Unmixing. IEEE Signal Process. Lett. 24 (10) (2017)
Alexandre Tiard, Laurent Condat, Lucas Drumetz, Jocelyn Chanussot, Wotao Yin, Xiaoxiang Zhu
Robust linear unmixing with enhanced sparsity. ICIP (2017)
Lucas Drumetz, Guillaume Tochon, Miguel Angel Veganzones, Jocelyn Chanussot, Christian Jutten
Improved Local Spectral Unmixing of hyperspectral data using an algorithmic regularization path for collaborative sparse regression. ICASSP (2017)
Lucas Drumetz, Miguel Angel Veganzones, Simon Henrot, Ronald Phlypo, Jocelyn Chanussot, Christian Jutten
Blind Hyperspectral Unmixing Using an Extended Linear Mixing Model to Address Spectral Variability. IEEE Trans. Image Process. 25 (8) (2016)
Miguel Angel Veganzones, Jeremy E. Cohen, Rodrigo Cabral Farias, Konstantin Usevich, Lucas Drumetz, Jocelyn Chanussot, Pierre Comon
Canonical polyadic decomposition of hyperspectral patch tensors. EUSIPCO (2016)
Lucas Drumetz, Miguel Angel Veganzones, Ruben Marrero Gomez, Guillaume Tochon, Mauro Dalla Mura, Giorgio A. Licciardi, Christian Jutten, Jocelyn Chanussot
Hyperspectral Local Intrinsic Dimensionality. IEEE Trans. Geosci. Remote. Sens. 54 (7) (2016)
Lucas Drumetz, Jocelyn Chanussot, Christian Jutten
Variability of the endmembers in spectral unmixing: Recent advances. WHISPERS (2016)
Guillaume Tochon, Lucas Drumetz, Miguel Angel Veganzones, Mauro Dalla Mura, Jocelyn Chanussot
From local to global unmixing of hyperspectral images to reveal spectral variability. WHISPERS (2016)
Travis R. Meyer, Lucas Drumetz, Jocelyn Chanussot, Andrea L. Bertozzi, Christian Jutten
Hyperspectral unmixing with material variability using social sparsity. ICIP (2016)
Lucas Drumetz, Mauro Dalla Mura, Samuel Meulenyzer, Sébastien Lombard, Jocelyn Chanussot
Semiautomatic classification of cementitious materials using scanning electron microscope images. J. Electronic Imaging 24 (6) (2015)
Lucas Drumetz, Simon Henrot, Miguel Angel Veganzones, Jocelyn Chanussot, Christian Jutten
Blind hyperspectral unmixing using an extended linear mixing model to address spectral variability. WHISPERS (2015)
Lucas Drumetz, Miguel Angel Veganzones, Ruben Marrero, Guillaume Tochon, Mauro Dalla Mura, Antonio Plaza, Jocelyn Chanussot
Binary partition tree-based local spectral unmixing. WHISPERS (2014)
Miguel Angel Veganzones, Lucas Drumetz, Guillaume Tochon, Mauro Dalla Mura, Antonio Plaza, José M. Bioucas-Dias, Jocelyn Chanussot
A new extended linear mixing model to address spectral variability. WHISPERS (2014)