Lucas Drumetz

103 papers A* 2B 3C 8Misc 10Journal 61Unranked 19
YearRankTypeTitle / Venue / Authors
2026 J jnl
Discovering Data Manifold Geometry via Non-Contracting Flows.
CoRR
David Vigouroux, Lucas Drumetz, Ronan Fablet, François Rousseau
2026 J jnl
Static and auto-regressive neural emulation of phytoplankton biomass dynamics from physical predictors in the global ocean.
CoRR
Mahima Lakra, Ronan Fablet, Lucas Drumetz, Etienne Pauthenet, Elodie Martinez
2025 J jnl
Anomalous Samples for Few-Shot Anomaly Detection.
CoRR
Aymane Abdali, Bartosz Boguslawski, Lucas Drumetz, Vincent Gripon
2025 J jnl
Augmented Invertible Koopman Autoencoder for long-term time series forecasting.
CoRR
Anthony Frion, Lucas Drumetz, Mauro Dalla Mura, Guillaume Tochon, Abdeldjalil Aïssa-El-Bey
2025 J jnl
Augmented Invertible Koopman Autoencoder for long-term time series forecasting.
Trans. Mach. Learn. Res.
Anthony Frion, Lucas Drumetz, Mauro Dalla Mura, Guillaume Tochon, Abdeldjalil Aïssa-El-Bey
2025 J jnl
Busemann Functions in the Wasserstein Space: Existence, Closed-Forms, and Applications to Slicing.
CoRR
Clément Bonet, Elsa Cazelles, Lucas Drumetz, Nicolas Courty
2025 J jnl
FlowKac: An Efficient Neural Fokker-Planck solver using Temporal Normalizing flows and the Feynman Kac-Formula.
CoRR
Naoufal El Bekri, Lucas Drumetz, Franck Vermet
2025 J jnl
FlowKac: An Efficient Neural Fokker-Planck solver using Temporal Normalizing flows and the Feynman-Kac Formula.
Trans. Mach. Learn. Res.
Naoufal El Bekri, Lucas Drumetz, Franck Vermet
2025 J jnl
Land Surface Temperature Super-Resolution With a Scale-Invariance-Free Neural Approach: Application to MODIS.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Romuald Ait-Bachir, Carlos Granero-Belinchón, Aurélie Michel, Julien Michel, Xavier Briottet, Lucas Drumetz
2025 J jnl
Land Surface Temperature Super-Resolution with a Scale-Invariance-Free Neural Approach: Application to MODIS.
CoRR
Romuald Ait-Bachir, Carlos Granero-Belinchón, Aurélie Michel, Julien Michel, Xavier Briottet, Lucas Drumetz
2025 J jnl
Object-Centric Cropping for Visual Few-Shot Classification.
CoRR
Aymane Abdali, Bartosz Boguslawski, Lucas Drumetz, Vincent Gripon
2025 J jnl
Sliced-Wasserstein Distances and Flows on Cartan-Hadamard Manifolds.
J. Mach. Learn. Res.
Clément Bonet, Lucas Drumetz, Nicolas Courty
2024 — conf
Koopman Ensembles for Probabilistic Time Series Forecasting.
EUSIPCO
Anthony Frion, Lucas Drumetz, Guillaume Tochon, Mauro Dalla Mura, Abdeldjalil Aïssa-El-Bey
2024 J jnl
Koopman Ensembles for Probabilistic Time Series Forecasting.
CoRR
Anthony Frion, Lucas Drumetz, Guillaume Tochon, Mauro Dalla Mura, Abdeldjalil Aïssa-El-Bey
2024 J jnl
Local Mixup: Interpolation of closest input signals to prevent manifold intrusion.
Signal Process.
Raphaël Baena, Lucas Drumetz, Vincent Gripon
2024 J jnl
Neural Koopman Prior for Data Assimilation.
IEEE Trans. Signal Process.
Anthony Frion, Lucas Drumetz, Mauro Dalla Mura, Guillaume Tochon, Abdeldjalil Aïssa-El-Bey
2024 — conf
On Divergence-Free Neural ODE for Classification.
ICPR (8)
Zakaria Jarraya, Lucas Drumetz, Simon Benaïchouche, Douraied Ben Salem, François Rousseau
2024 — conf
On Transfer in Classification: How Well do Subsets of Classes Generalize?
EUSIPCO
Raphaël Baena, Lucas Drumetz, Vincent Gripon
2024 J jnl
On Transfer in Classification: How Well do Subsets of Classes Generalize?
CoRR
Raphaël Baena, Lucas Drumetz, Vincent Gripon
2024 J jnl
Physics Informed and Data Driven Simulation of Underwater Images via Residual Learning.
CoRR
Tanmoy Mondal, Ricardo Mendoza, Lucas Drumetz
2024 J jnl
Sliced-Wasserstein Distances and Flows on Cartan-Hadamard Manifolds.
CoRR
Clément Bonet, Lucas Drumetz, Nicolas Courty
2024 Misc conf
Time Changed Normalizing Flows for Accurate SDE Modeling.
ICASSP
Naoufal El Bekri, Lucas Drumetz, Franck Vermet
2023 Misc conf
Active Learning for Efficient Few-Shot Classification.
ICASSP
Aymane Abdali, Vincent Gripon, Lucas Drumetz, Bartosz Boguslawski
2023 C conf
Consistency and Ambiguities of Quality No Reference Metric for Pansharpening.
IGARSS
Paul Aimé, Lucas Drumetz, Mauro Dalla Mura, Touria Bajjouk, René Garello
2023 J jnl
Disambiguation of One-Shot Visual Classification Tasks: A Simplex-Based Approach.
CoRR
Yassir Bendou, Lucas Drumetz, Vincent Gripon, Giulia Lioi, Bastien Pasdeloup
2023 Misc conf
Entropy Based Feature Regularization to Improve Transferability of Deep Learning Models.
ICASSP
Raphaël Baena, Lucas Drumetz, Vincent Gripon
2023 — conf
Hyperbolic Sliced-Wasserstein via Geodesic and Horospherical Projections.
TAG-ML
Clément Bonet, Laetitia Chapel, Lucas Drumetz, Nicolas Courty
2023 — conf
Learning Sentinel-2 Reflectance Dynamics for Data-Driven Assimilation and Forecasting.
EUSIPCO
Anthony Frion, Lucas Drumetz, Guillaume Tochon, Mauro Dalla Mura, Abdeldjalil Aïssa-El-Bey
2023 J jnl
Learning Sentinel-2 reflectance dynamics for data-driven assimilation and forecasting.
CoRR
Anthony Frion, Lucas Drumetz, Guillaume Tochon, Mauro Dalla Mura, Abdeldjalil Aïssa-El-Bey
2023 Misc conf
Leveraging Neural Koopman Operators to Learn Continuous Representations of Dynamical Systems from Scarce Data.
ICASSP
Anthony Frion, Lucas Drumetz, Mauro Dalla Mura, Guillaume Tochon, Abdeldjalil Aïssa-El-Bey
2023 J jnl
Leveraging Neural Koopman Operators to Learn Continuous Representations of Dynamical Systems from Scarce Data.
CoRR
Anthony Frion, Lucas Drumetz, Mauro Dalla Mura, Guillaume Tochon, Abdeldjalil Aïssa-El-Bey
2023 J jnl
MultiHU-TD: Multifeature Hyperspectral Unmixing Based on Tensor Decomposition.
IEEE Trans. Geosci. Remote. Sens.
Mohamad Jouni, Mauro Dalla Mura, Lucas Drumetz, Pierre Comon
2023 J jnl
Neural Koopman prior for data assimilation.
CoRR
Anthony Frion, Lucas Drumetz, Mauro Dalla Mura, Guillaume Tochon, Abdeldjalil Aïssa-El-Bey
2023 A* conf
Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals.
ICML
Clément Bonet, Benoît Malézieux, Alain Rakotomamonjy, Lucas Drumetz, Thomas Moreau, Matthieu Kowalski, Nicolas Courty
2023 J jnl
Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals.
CoRR
Clément Bonet, Benoît Malézieux, Alain Rakotomamonjy, Lucas Drumetz, Thomas Moreau, Matthieu Kowalski, Nicolas Courty
2023 Misc conf
Spatial Graph Signal Interpolation with an Application for Merging BCI Datasets with Various Dimensionalities.
ICASSP
Yassine El Ouahidi, Lucas Drumetz, Giulia Lioi, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon
2023 A* conf
Spherical Sliced-Wasserstein.
ICLR
Clément Bonet, Paul Berg, Nicolas Courty, François Septier, Lucas Drumetz, Minh-Tan Pham
2023 J jnl
Time-changed normalizing flows for accurate SDE modeling.
CoRR
Naoufal El Bekri, Lucas Drumetz, Franck Vermet
2023 J jnl
Turning Normalizing Flows into Monge Maps with Geodesic Gaussian Preserving Flows.
Trans. Mach. Learn. Res.
Guillaume Morel, Lucas Drumetz, Simon Benaïchouche, Nicolas Courty, François Rousseau
2022 — conf
A Local Mixup to Prevent Manifold Intrusion.
EUSIPCO
Raphaël Baena, Lucas Drumetz, Vincent Gripon
2022 J jnl
Active Few-Shot Classification: a New Paradigm for Data-Scarce Learning Settings.
CoRR
Aymane Abdali, Vincent Gripon, Lucas Drumetz, Bartosz Boguslawski
2022 J jnl
Correction: Martinez et al. Neural Network Approaches to Reconstruct Phytoplankton Time-Series in the Global Ocean. Remote Sens. 12, 2020, 4156.
Remote. Sens.
Elodie Martinez, Anouar Brini, Thomas Gorgues, Lucas Drumetz, Joana Roussillon, Pierre Tandeo, Guillaume Maze, Ronan Fablet
2022 J jnl
Efficient Gradient Flows in Sliced-Wasserstein Space.
Trans. Mach. Learn. Res.
Clément Bonet, Nicolas Courty, François Septier, Lucas Drumetz
2022 J jnl
Hyperbolic Sliced-Wasserstein via Geodesic and Horospherical Projections.
CoRR
Clément Bonet, Laetitia Chapel, Lucas Drumetz, Nicolas Courty
2022 J jnl
Preserving Fine-Grain Feature Information in Classification via Entropic Regularization.
CoRR
Raphaël Baena, Lucas Drumetz, Vincent Gripon
2022 J jnl
Preventing Manifold Intrusion with Locality: Local Mixup.
CoRR
Raphaël Baena, Lucas Drumetz, Vincent Gripon
2022 J jnl
Spatial Graph Signal Interpolation with an Application for Merging BCI Datasets with Various Dimensionalities.
CoRR
Yassine El Ouahidi, Lucas Drumetz, Giulia Lioi, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon
2022 J jnl
Spherical Sliced-Wasserstein.
CoRR
Clément Bonet, Paul Berg, Nicolas Courty, François Septier, Lucas Drumetz, Minh-Tan Pham
2022 J jnl
Turning Normalizing Flows into Monge Maps with Geodesic Gaussian Preserving Flows.
CoRR
Guillaume Morel, Lucas Drumetz, Nicolas Courty, François Rousseau, Simon Benaïchouche
2021 J jnl
Blind Hyperspectral Unmixing Based on Graph Total Variation Regularization.
IEEE Trans. Geosci. Remote. Sens.
Jing Qin, Harlin Lee, Jocelyn T. Chi, Lucas Drumetz, Jocelyn Chanussot, Yifei Lou, Andrea L. Bertozzi
2021 C conf
End-to-End Kalman Filter for the Reconstruction of Sea Surface Dynamics from Satellite Data.
IGARSS
Said Ouala, Ronan Fablet, Lucas Drumetz, Bertrand Chapron, Ananda Pascual, Fabrice Collard, Lucile Gaultier
2021 Misc conf
End-to-End Learning of Variational Models and Solvers for the Resolution of Interpolation Problems.
ICASSP
Ronan Fablet, Lucas Drumetz, François Rousseau
2021 — conf
Geometry-Preserving Lie Group Integrators for Differential Equations on the Manifold of Symmetric Positive Definite Matrices.
GSI (2)
Lucas Drumetz, Alexandre Reiffers-Masson, Naoufal El Bekri, Franck Vermet
2021 J jnl
Graphs as Tools to Improve Deep Learning Methods.
CoRR
Carlos Lassance, Myriam Bontonou, Mounia Hamidouche, Bastien Pasdeloup, Lucas Drumetz, Vincent Gripon
2021 B conf
Improving Classification Accuracy With Graph Filtering.
ICIP
Mounia Hamidouche, Carlos Lassance, Yuqing Hu, Lucas Drumetz, Bastien Pasdeloup, Vincent Gripon
2021 J jnl
Improving Classification Accuracy with Graph Filtering.
CoRR
Mounia Hamidouche, Carlos Lassance, Yuqing Hu, Lucas Drumetz, Bastien Pasdeloup, Vincent Gripon
2021 — conf
Inferring Graph Signal Translations as Invariant Transformations for Classification Tasks.
EUSIPCO
Raphaël Baena, Lucas Drumetz, Vincent Gripon
2021 J jnl
Inferring Graph Signal Translations as Invariant Transformations for Classification Tasks.
CoRR
Raphaël Baena, Lucas Drumetz, Vincent Gripon
2021 J jnl
Joint Interpolation and Representation Learning for Irregularly Sampled Satellite-Derived Geophysical Fields.
Frontiers Appl. Math. Stat.
Ronan Fablet, Maxime Beauchamp, Lucas Drumetz, François Rousseau
2021 — conf
Learning Sentinel-2 Spectral Dynamics for Long-Run Predictions using Residual Neural Networks.
EUSIPCO
Joaquim Estopinan, Guillaume Tochon, Lucas Drumetz
2021 — conf
Learning stochastic dynamical systems with neural networks mimicking the Euler-Maruyama scheme.
EUSIPCO
Noura Dridi, Lucas Drumetz, Ronan Fablet
2021 J jnl
Learning stochastic dynamical systems with neural networks mimicking the Euler-Maruyama scheme.
CoRR
Noura Dridi, Lucas Drumetz, Ronan Fablet
2021 J jnl
Sliced-Wasserstein Gradient Flows.
CoRR
Clément Bonet, Nicolas Courty, François Septier, Lucas Drumetz
2021 J jnl
Subspace Detours Meet Gromov-Wasserstein.
Algorithms
Clément Bonet, Titouan Vayer, Nicolas Courty, François Septier, Lucas Drumetz
2021 J jnl
Subspace Detours Meet Gromov-Wasserstein.
CoRR
Clément Bonet, Nicolas Courty, François Septier, Lucas Drumetz
2020 Misc conf
Assimilation-Based Learning of Chaotic Dynamical Systems from Noisy and Partial Data.
ICASSP
Duong Nguyen, Said Ouala, Lucas Drumetz, Ronan Fablet
2020 J jnl
Filtering Internal Tides From Wide-Swath Altimeter Data Using Convolutional Neural Networks.
CoRR
Redouane Lguensat, Ronan Fablet, Julien Le Sommer, Sammy Metref, Emmanuel Cosme, Kaouther Ouenniche, Lucas Drumetz, Jonathan Gula
2020 C conf
Filtering Internal Tides from Wide-Swath Altimeter Data Using Convolutional Neural Networks.
IGARSS
Redouane Lguensat, Ronan Fablet, Julien Le Sommer, Sammy Metref, Emmanuel Cosme, Kaouther Ouenniche, Lucas Drumetz, Jonathan Gula
2020 J jnl
Joint learning of variational representations and solvers for inverse problems with partially-observed data.
CoRR
Ronan Fablet, Lucas Drumetz, François Rousseau
2020 Misc conf
Learning Endmember Dynamics in Multitemporal Hyperspectral Data Using A State-Space Model Formulation.
ICASSP
Lucas Drumetz, Mauro Dalla Mura, Guillaume Tochon, Ronan Fablet
2020 J jnl
Learning Variational Data Assimilation Models and Solvers.
CoRR
Ronan Fablet, Bertrand Chapron, Lucas Drumetz, Étienne Mémin, Olivier Pannekoucke, François Rousseau
2020 J jnl
Neural Network Approaches to Reconstruct Phytoplankton Time-Series in the Global Ocean.
Remote. Sens.
Elodie Martinez, Anouar Brini, Thomas Gorgues, Lucas Drumetz, Joana Roussillon, Pierre Tandeo, Guillaume Maze, Ronan Fablet
2020 C conf
Physically Informed Neural Networks for the Simulation and Data-Assimilation of Geophysical Dynamics.
IGARSS
Said Ouala, Ronan Fablet, Lucas Drumetz, Bertrand Chapron, Ananda Pascual, Fabrice Collard, Lucile Gaultier
2020 J jnl
Residual Networks as Flows of Diffeomorphisms.
J. Math. Imaging Vis.
François Rousseau, Lucas Drumetz, Ronan Fablet
2020 J jnl
Spectral Unmixing: A Derivation of the Extended Linear Mixing Model From the Hapke Model.
IEEE Geosci. Remote. Sens. Lett.
Lucas Drumetz, Jocelyn Chanussot, Christian Jutten
2020 J jnl
Spectral Variability Aware Blind Hyperspectral Image Unmixing Based on Convex Geometry.
IEEE Trans. Image Process.
Lucas Drumetz, Jocelyn Chanussot, Christian Jutten, Wing-Kin Ma, Akira Iwasaki
2020 J jnl
Variational Deep Learning for the Identification and Reconstruction of Chaotic and Stochastic Dynamical Systems from Noisy and Partial Observations.
CoRR
Duong Nguyen, Said Ouala, Lucas Drumetz, Ronan Fablet
2019 J jnl
EM-like Learning Chaotic Dynamics from Noisy and Partial Observations.
CoRR
Duong Nguyen, Said Ouala, Lucas Drumetz, Ronan Fablet
2019 J jnl
End-to-end learning of energy-based representations for irregularly-sampled signals and images.
CoRR
Ronan Fablet, Lucas Drumetz, François Rousseau
2019 J jnl
Hyperspectral Classification Through Unmixing Abundance Maps Addressing Spectral Variability.
IEEE Trans. Geosci. Remote. Sens.
Edurne Ibarrola-Ulzurrun, Lucas Drumetz, Javier Marcello, Consuelo Gonzalo-Martín, Jocelyn Chanussot
2019 J jnl
Hyperspectral Image Unmixing With Endmember Bundles and Group Sparsity Inducing Mixed Norms.
IEEE Trans. Image Process.
Lucas Drumetz, Travis R. Meyer, Jocelyn Chanussot, Andrea L. Bertozzi, Christian Jutten
2019 C conf
Learning Differential Transport Operators for the Joint Super-Resolution of Sea Surface Tracers and Prediction of Subgrid-Scale Features.
IGARSS
Ronan Fablet, Julien Le Sommer, Jean-Marc Molines, Lucas Drumetz, François Rousseau, Bertrand Chapron
2019 J jnl
Learning Latent Dynamics for Partially-Observed Chaotic Systems.
CoRR
Said Ouala, Duong Nguyen, Lucas Drumetz, Bertrand Chapron, Ananda Pascual, Fabrice Collard, Lucile Gaultier, Ronan Fablet
2019 C conf
Learning Ocean Dynamical Priors from Noisy Data Using Assimilation-Derived Neural Nets.
IGARSS
Said Ouala, Duong Nguyen, Cédric Herzet, Lucas Drumetz, Bertrand Chapron, Ananda Pascual, Fabrice Collard, Lucile Gaultier, Ronan Fablet
2019 C conf
Sea Surface Dynamics Reconstruction Using Neural Networks Based Kalman Filter.
IGARSS
Said Ouala, Ronan Fablet, Cédric Herzet, Lucas Drumetz, Bertrand Chapron, Ananda Pascual, Fabrice Collard, Lucile Gaultier
2019 — conf
Spatial Characterization Of Marine Vegetation Using Semisupervised Hyperspectral Unmixing.
WHISPERS
Touria Bajjouk, Ichrak Zarati, Lucas Drumetz, Mauro Dalla Mura
2018 — conf
Classification Using Unmixing Models in Areas With Substantial Endmember Variability.
WHISPERS
Edurne Ibarrola-Ulzurrun, Lucas Drumetz, Jocelyn Chanussot, Javier Marcello, Consuelo Gonzalo-Martín
2018 Misc conf
Endmembers as Directional Data for Robust Material Variability Retrieval in Hyperspectral Image Unmixing.
ICASSP
Lucas Drumetz, Jocelyn Chanussot, Akira Iwasaki
2018 C conf
Extended Linear Mixing Model in an Ecosytem with High Spectral Variability.
IGARSS
Edurne Ibarrola-Ulzurrun, Lucas Drumetz, Jocelyn Chanussot, Consuelo Gonzalo-Martín, Javier Marcello
2017 — conf
Estimating the Number of Endmembers to Use in Spectral Unmixing of Hyperspectral Data with Collaborative Sparsity.
LVA/ICA
Lucas Drumetz, Guillaume Tochon, Jocelyn Chanussot, Christian Jutten
2017 Misc conf
Improved Local Spectral Unmixing of hyperspectral data using an algorithmic regularization path for collaborative sparse regression.
ICASSP
Lucas Drumetz, Guillaume Tochon, Miguel Angel Veganzones, Jocelyn Chanussot, Christian Jutten
2017 J jnl
Relationships Between Nonlinear and Space-Variant Linear Models in Hyperspectral Image Unmixing.
IEEE Signal Process. Lett.
Lucas Drumetz, Bahram Ehsandoust, Jocelyn Chanussot, Bertrand Rivet, Massoud Babaie-Zadeh, Christian Jutten
2017 B conf
Robust linear unmixing with enhanced sparsity.
ICIP
Alexandre Tiard, Laurent Condat, Lucas Drumetz, Jocelyn Chanussot, Wotao Yin, Xiaoxiang Zhu
2016 J jnl
Blind Hyperspectral Unmixing Using an Extended Linear Mixing Model to Address Spectral Variability.
IEEE Trans. Image Process.
Lucas Drumetz, Miguel Angel Veganzones, Simon Henrot, Ronald Phlypo, Jocelyn Chanussot, Christian Jutten
2016 — conf
Canonical polyadic decomposition of hyperspectral patch tensors.
EUSIPCO
Miguel Angel Veganzones, Jeremy E. Cohen, Rodrigo Cabral Farias, Konstantin Usevich, Lucas Drumetz, Jocelyn Chanussot, Pierre Comon
2016 — conf
From local to global unmixing of hyperspectral images to reveal spectral variability.
WHISPERS
Guillaume Tochon, Lucas Drumetz, Miguel Angel Veganzones, Mauro Dalla Mura, Jocelyn Chanussot
2016 J jnl
Hyperspectral Local Intrinsic Dimensionality.
IEEE Trans. Geosci. Remote. Sens.
Lucas Drumetz, Miguel Angel Veganzones, Ruben Marrero Gomez, Guillaume Tochon, Mauro Dalla Mura, Giorgio A. Licciardi, Christian Jutten, Jocelyn Chanussot
2016 B conf
Hyperspectral unmixing with material variability using social sparsity.
ICIP
Travis R. Meyer, Lucas Drumetz, Jocelyn Chanussot, Andrea L. Bertozzi, Christian Jutten
2016 — conf
Variability of the endmembers in spectral unmixing: Recent advances.
WHISPERS
Lucas Drumetz, Jocelyn Chanussot, Christian Jutten
2015 — conf
Blind hyperspectral unmixing using an extended linear mixing model to address spectral variability.
WHISPERS
Lucas Drumetz, Simon Henrot, Miguel Angel Veganzones, Jocelyn Chanussot, Christian Jutten
2015 J jnl
Semiautomatic classification of cementitious materials using scanning electron microscope images.
J. Electronic Imaging
Lucas Drumetz, Mauro Dalla Mura, Samuel Meulenyzer, Sébastien Lombard, Jocelyn Chanussot
2014 — conf
A new extended linear mixing model to address spectral variability.
WHISPERS
Miguel Angel Veganzones, Lucas Drumetz, Guillaume Tochon, Mauro Dalla Mura, Antonio Plaza, José M. Bioucas-Dias, Jocelyn Chanussot
2014 — conf
Binary partition tree-based local spectral unmixing.
WHISPERS
Lucas Drumetz, Miguel Angel Veganzones, Ruben Marrero, Guillaume Tochon, Mauro Dalla Mura, Antonio Plaza, Jocelyn Chanussot