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Lucas Drumetz
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2020 – today
- 2024
- [j19]Raphaël Baena
, Lucas Drumetz, Vincent Gripon:
Local Mixup: Interpolation of closest input signals to prevent manifold intrusion. Signal Process. 219: 109395 (2024) - [j18]Anthony Frion
Neural Koopman Prior for Data Assimilation. IEEE Trans. Signal Process. 72: 4191-4206 (2024) - [c41]Raphaël Baena, Lucas Drumetz, Vincent Gripon:
On Transfer in Classification: How Well do Subsets of Classes Generalize? EUSIPCO 2024: 1836-1840 - [c40]Anthony Frion, Lucas Drumetz, Guillaume Tochon, Mauro Dalla Mura, Abdeldjalil Aïssa-El-Bey:
Koopman Ensembles for Probabilistic Time Series Forecasting. EUSIPCO 2024: 2542-2546 - [c39]Naoufal El Bekri, Lucas Drumetz, Franck Vermet:
Time Changed Normalizing Flows for Accurate SDE Modeling. ICASSP 2024: 6395-6399 - [i30]Tanmoy Mondal, Ricardo Mendoza, Lucas Drumetz:
Physics Informed and Data Driven Simulation of Underwater Images via Residual Learning. CoRR abs/2402.05281 (2024) - [i29]Raphaël Baena, Lucas Drumetz, Vincent Gripon:
On Transfer in Classification: How Well do Subsets of Classes Generalize? CoRR abs/2403.03569 (2024) - [i28]Clément Bonet, Lucas Drumetz, Nicolas Courty:
Sliced-Wasserstein Distances and Flows on Cartan-Hadamard Manifolds. CoRR abs/2403.06560 (2024) - [i27]Anthony Frion, Lucas Drumetz, Guillaume Tochon, Mauro Dalla Mura, Abdeldjalil Aïssa-El-Bey:
Koopman Ensembles for Probabilistic Time Series Forecasting. CoRR abs/2403.06757 (2024) - 2023
- [j17]Mohamad Jouni
MultiHU-TD: Multifeature Hyperspectral Unmixing Based on Tensor Decomposition. IEEE Trans. Geosci. Remote. Sens. 61: 1-21 (2023) - [j16]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) - [c38]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: 1390-1394 - [c37]Aymane Abdali, Vincent Gripon, Lucas Drumetz, Bartosz Boguslawski:
Active Learning for Efficient Few-Shot Classification. ICASSP 2023: 1-5 - [c36]Raphaël Baena, Lucas Drumetz, Vincent Gripon:
Entropy Based Feature Regularization to Improve Transferability of Deep Learning Models. ICASSP 2023: 1-5 - [c35]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: 1-5 - [c34]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: 1-5 - [c33]Clément Bonet, Paul Berg, Nicolas Courty, François Septier, Lucas Drumetz, Minh-Tan Pham:
Spherical Sliced-Wasserstein. ICLR 2023 - [c32]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: 2777-2805 - [c31]Paul Aimé, Lucas Drumetz, Mauro Dalla Mura, Touria Bajjouk, René Garello:
Consistency and Ambiguities of Quality No Reference Metric for Pansharpening. IGARSS 2023: 5583-5586 - [c30]Clément Bonet, Laetitia Chapel, Lucas Drumetz, Nicolas Courty:
Hyperbolic Sliced-Wasserstein via Geodesic and Horospherical Projections. TAG-ML 2023: 334-370 - [i26]Yassir Bendou, Lucas Drumetz, Vincent Gripon, Giulia Lioi, Bastien Pasdeloup:
Disambiguation of One-Shot Visual Classification Tasks: A Simplex-Based Approach. CoRR abs/2301.06372 (2023) - [i25]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 abs/2303.05798 (2023) - [i24]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 abs/2303.06972 (2023) - [i23]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 abs/2305.03743 (2023) - [i22]Anthony Frion, Lucas Drumetz, Mauro Dalla Mura, Guillaume Tochon, Abdeldjalil Aïssa-El-Bey:
Neural Koopman prior for data assimilation. CoRR abs/2309.05317 (2023) - [i21]Naoufal El Bekri, Lucas Drumetz, Franck Vermet:
Time-changed normalizing flows for accurate SDE modeling. CoRR abs/2312.14698 (2023) - 2022
- [j15]Elodie Martinez
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): 5669 (2022) - [j14]Clément Bonet, Nicolas Courty, François Septier, Lucas Drumetz:
Efficient Gradient Flows in Sliced-Wasserstein Space. Trans. Mach. Learn. Res. 2022 (2022) - [c29]Raphaël Baena, Lucas Drumetz, Vincent Gripon:
A Local Mixup to Prevent Manifold Intrusion. EUSIPCO 2022: 1372-1376 - [i20]Raphaël Baena, Lucas Drumetz, Vincent Gripon:
Preventing Manifold Intrusion with Locality: Local Mixup. CoRR abs/2201.04368 (2022) - [i19]Clément Bonet, Paul Berg, Nicolas Courty, François Septier, Lucas Drumetz, Minh-Tan Pham:
Spherical Sliced-Wasserstein. CoRR abs/2206.08780 (2022) - [i18]Raphaël Baena, Lucas Drumetz, Vincent Gripon:
Preserving Fine-Grain Feature Information in Classification via Entropic Regularization. CoRR abs/2208.03684 (2022) - [i17]Guillaume Morel, Lucas Drumetz, Nicolas Courty, François Rousseau, Simon Benaïchouche:
Turning Normalizing Flows into Monge Maps with Geodesic Gaussian Preserving Flows. CoRR abs/2209.10873 (2022) - [i16]Aymane Abdali, Vincent Gripon, Lucas Drumetz, Bartosz Boguslawski:
Active Few-Shot Classification: a New Paradigm for Data-Scarce Learning Settings. CoRR abs/2209.11481 (2022) - [i15]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 abs/2211.02624 (2022) - [i14]Clément Bonet, Laetitia Chapel, Lucas Drumetz, Nicolas Courty:
Hyperbolic Sliced-Wasserstein via Geodesic and Horospherical Projections. CoRR abs/2211.10066 (2022) - 2021
- [j13]Clément Bonet
Subspace Detours Meet Gromov-Wasserstein. Algorithms 14(12): 366 (2021) - [j12]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: 655224 (2021) - [j11]Jing Qin
Blind Hyperspectral Unmixing Based on Graph Total Variation Regularization. IEEE Trans. Geosci. Remote. Sens. 59(4): 3338-3351 (2021) - [c28]Joaquim Estopinan, Guillaume Tochon, Lucas Drumetz:
Learning Sentinel-2 Spectral Dynamics for Long-Run Predictions using Residual Neural Networks. EUSIPCO 2021: 1735-1739 - [c27]Noura Dridi, Lucas Drumetz, Ronan Fablet:
Learning stochastic dynamical systems with neural networks mimicking the Euler-Maruyama scheme. EUSIPCO 2021: 1990-1994 - [c26]Raphaël Baena
Inferring Graph Signal Translations as Invariant Transformations for Classification Tasks. EUSIPCO 2021: 2169-2173 - [c25]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: 433-443 - [c24]Ronan Fablet, Lucas Drumetz, François Rousseau
End-to-End Learning of Variational Models and Solvers for the Resolution of Interpolation Problems. ICASSP 2021: 2360-2364 - [c23]Mounia Hamidouche, Carlos Lassance, Yuqing Hu, Lucas Drumetz, Bastien Pasdeloup, Vincent Gripon:
Improving Classification Accuracy With Graph Filtering. ICIP 2021: 334-338 - [c22]Said Ouala, Ronan Fablet, Lucas Drumetz, Bertrand Chapron
End-to-End Kalman Filter for the Reconstruction of Sea Surface Dynamics from Satellite Data. IGARSS 2021: 7414-7417 - [i13]Mounia Hamidouche, Carlos Lassance, Yuqing Hu, Lucas Drumetz, Bastien Pasdeloup, Vincent Gripon:
Improving Classification Accuracy with Graph Filtering. CoRR abs/2101.04789 (2021) - [i12]Raphaël Baena, Lucas Drumetz, Vincent Gripon:
Inferring Graph Signal Translations as Invariant Transformations for Classification Tasks. CoRR abs/2102.09493 (2021) - [i11]Noura Dridi, Lucas Drumetz, Ronan Fablet:
Learning stochastic dynamical systems with neural networks mimicking the Euler-Maruyama scheme. CoRR abs/2105.08449 (2021) - [i10]Carlos Lassance, Myriam Bontonou, Mounia Hamidouche, Bastien Pasdeloup, Lucas Drumetz, Vincent Gripon:
Graphs as Tools to Improve Deep Learning Methods. CoRR abs/2110.03999 (2021) - [i9]Clément Bonet
Subspace Detours Meet Gromov-Wasserstein. CoRR abs/2110.10932 (2021) - [i8]Clément Bonet
Sliced-Wasserstein Gradient Flows. CoRR abs/2110.10972 (2021) - 2020
- [j10]François Rousseau
Residual Networks as Flows of Diffeomorphisms. J. Math. Imaging Vis. 62(3): 365-375 (2020) - [j9]Lucas Drumetz
Spectral Unmixing: A Derivation of the Extended Linear Mixing Model From the Hapke Model. IEEE Geosci. Remote. Sens. Lett. 17(11): 1866-1870 (2020) - [j8]Elodie Martinez
Neural Network Approaches to Reconstruct Phytoplankton Time-Series in the Global Ocean. Remote. Sens. 12(24): 4156 (2020) - [j7]Lucas Drumetz
Spectral Variability Aware Blind Hyperspectral Image Unmixing Based on Convex Geometry. IEEE Trans. Image Process. 29: 4568-4582 (2020) - [c21]Lucas Drumetz, Mauro Dalla Mura, Guillaume Tochon, Ronan Fablet:
Learning Endmember Dynamics in Multitemporal Hyperspectral Data Using A State-Space Model Formulation. ICASSP 2020: 2483-2487 - [c20]Duong Nguyen, Said Ouala, Lucas Drumetz, Ronan Fablet:
Assimilation-Based Learning of Chaotic Dynamical Systems from Noisy and Partial Data. ICASSP 2020: 3862-3866 - [c19]Said Ouala, Ronan Fablet, Lucas Drumetz, Bertrand Chapron
Physically Informed Neural Networks for the Simulation and Data-Assimilation of Geophysical Dynamics. IGARSS 2020: 3490-3493 - [c18]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: 3904-3907 - [i7]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 abs/2005.01090 (2020) - [i6]Ronan Fablet, Lucas Drumetz, François Rousseau:
Joint learning of variational representations and solvers for inverse problems with partially-observed data. CoRR abs/2006.03653 (2020) - [i5]Ronan Fablet, Bertrand Chapron, Lucas Drumetz, Étienne Mémin, Olivier Pannekoucke, François Rousseau
Learning Variational Data Assimilation Models and Solvers. CoRR abs/2007.12941 (2020) - [i4]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 abs/2009.02296 (2020)
2010 – 2019
- 2019
- [j6]Edurne Ibarrola-Ulzurrun
Hyperspectral Classification Through Unmixing Abundance Maps Addressing Spectral Variability. IEEE Trans. Geosci. Remote. Sens. 57(7): 4775-4788 (2019) - [j5]Lucas Drumetz
Hyperspectral Image Unmixing With Endmember Bundles and Group Sparsity Inducing Mixed Norms. IEEE Trans. Image Process. 28(7): 3435-3450 (2019) - [c17]Ronan Fablet, Julien Le Sommer, Jean-Marc Molines, Lucas Drumetz, François Rousseau
Learning Differential Transport Operators for the Joint Super-Resolution of Sea Surface Tracers and Prediction of Subgrid-Scale Features. IGARSS 2019: 7916-7919 - [c16]Said Ouala, Duong Nguyen, Cédric Herzet, Lucas Drumetz, Bertrand Chapron
Learning Ocean Dynamical Priors from Noisy Data Using Assimilation-Derived Neural Nets. IGARSS 2019: 9451-9454 - [c15]Said Ouala, Ronan Fablet, Cédric Herzet, Lucas Drumetz
Sea Surface Dynamics Reconstruction Using Neural Networks Based Kalman Filter. IGARSS 2019: 10059-10062 - [c14]Touria Bajjouk
Spatial Characterization Of Marine Vegetation Using Semisupervised Hyperspectral Unmixing. WHISPERS 2019: 1-5 - [i3]Duong Nguyen, Said Ouala, Lucas Drumetz, Ronan Fablet:
EM-like Learning Chaotic Dynamics from Noisy and Partial Observations. CoRR abs/1903.10335 (2019) - [i2]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 abs/1907.02452 (2019) - [i1]Ronan Fablet, Lucas Drumetz, François Rousseau:
End-to-end learning of energy-based representations for irregularly-sampled signals and images. CoRR abs/1910.00556 (2019) - 2018
- [c13]Lucas Drumetz
Endmembers as Directional Data for Robust Material Variability Retrieval in Hyperspectral Image Unmixing. ICASSP 2018: 3404-3408 - [c12]Edurne Ibarrola-Ulzurrun, Lucas Drumetz
Extended Linear Mixing Model in an Ecosytem with High Spectral Variability. IGARSS 2018: 2685-2688 - [c11]Edurne Ibarrola-Ulzurrun, Lucas Drumetz
Classification Using Unmixing Models in Areas With Substantial Endmember Variability. WHISPERS 2018: 1-4 - 2017
- [j4]Lucas Drumetz
Relationships Between Nonlinear and Space-Variant Linear Models in Hyperspectral Image Unmixing. IEEE Signal Process. Lett. 24(10): 1567-1571 (2017) - [c10]Lucas Drumetz
Estimating the Number of Endmembers to Use in Spectral Unmixing of Hyperspectral Data with Collaborative Sparsity. LVA/ICA 2017: 381-391 - [c9]Lucas Drumetz
Improved Local Spectral Unmixing of hyperspectral data using an algorithmic regularization path for collaborative sparse regression. ICASSP 2017: 6190-6194 - [c8]Alexandre Tiard, Laurent Condat
Robust linear unmixing with enhanced sparsity. ICIP 2017: 3140-3144 - 2016
- [j3]Lucas Drumetz
Hyperspectral Local Intrinsic Dimensionality. IEEE Trans. Geosci. Remote. Sens. 54(7): 4063-4078 (2016) - [j2]Lucas Drumetz
Blind Hyperspectral Unmixing Using an Extended Linear Mixing Model to Address Spectral Variability. IEEE Trans. Image Process. 25(8): 3890-3905 (2016) - [c7]Miguel Angel Veganzones, Jeremy E. Cohen, Rodrigo Cabral Farias
Canonical polyadic decomposition of hyperspectral patch tensors. EUSIPCO 2016: 2176-2180 - [c6]Travis R. Meyer, Lucas Drumetz
Hyperspectral unmixing with material variability using social sparsity. ICIP 2016: 2187-2191 - [c5]Lucas Drumetz
Variability of the endmembers in spectral unmixing: Recent advances. WHISPERS 2016: 1-5 - [c4]Guillaume Tochon, Lucas Drumetz
From local to global unmixing of hyperspectral images to reveal spectral variability. WHISPERS 2016: 1-5 - 2015
- [j1]Lucas Drumetz
Semiautomatic classification of cementitious materials using scanning electron microscope images. J. Electronic Imaging 24(6): 061109 (2015) - [c3]Lucas Drumetz
Blind hyperspectral unmixing using an extended linear mixing model to address spectral variability. WHISPERS 2015: 1-4 - 2014
- [c2]Lucas Drumetz
Binary partition tree-based local spectral unmixing. WHISPERS 2014: 1-4 - [c1]Miguel Angel Veganzones, Lucas Drumetz
A new extended linear mixing model to address spectral variability. WHISPERS 2014: 1-4
Coauthor Index
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last updated on 2024-11-07 20:29 CET by the dblp team
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