Lucas Drumetz
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
24
Venues
6
Active years
2016–2024
Best venue rank
A*
Where they publish
Papers
24 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ICASSP | Time Changed Normalizing Flows for Accurate SDE Modeling. | Naoufal El Bekri, Lucas Drumetz, Franck Vermet |
| 2024 | ICPR | On Divergence-Free Neural ODE for Classification. | Zakaria Jarraya, Lucas Drumetz, Simon Benachouche, Douraied Ben Salem, Franois Rousseau |
| 2023 | ICASSP | Active Learning for Efficient Few-Shot Classification. | Aymane Abdali, Vincent Gripon, Lucas Drumetz, Bartosz Boguslawski |
| 2023 | ICASSP | Entropy Based Feature Regularization to Improve Transferability of Deep Learning Models. | Raphal Baena, Lucas Drumetz, Vincent Gripon |
| 2023 | ICASSP | Leveraging Neural Koopman Operators to Learn Continuous Representations of Dynamical Systems from Scarce Data. | Anthony Frion, Lucas Drumetz, Mauro Dalla Mura, Guillaume Tochon, Abdeldjalil Assa-El-Bey |
| 2023 | ICASSP | Spatial Graph Signal Interpolation with an Application for Merging BCI Datasets with Various Dimensionalities. | Yassine El Ouahidi, Lucas Drumetz, Giulia Lioi, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon |
| 2023 | ICLR | Spherical Sliced-Wasserstein. | Clment Bonet, Paul Berg, Nicolas Courty, Franois Septier, Lucas Drumetz, Minh-Tan Pham |
| 2023 | ICML | Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals. | Clment Bonet, Benot Malzieux, Alain Rakotomamonjy, Lucas Drumetz, Thomas Moreau, Matthieu Kowalski, Nicolas Courty |
| 2023 | IGARSS | Consistency and Ambiguities of Quality No Reference Metric for Pansharpening. | Paul Aim, Lucas Drumetz, Mauro Dalla Mura, Touria Bajjouk, Ren Garello |
| 2021 | ICASSP | End-to-End Learning of Variational Models and Solvers for the Resolution of Interpolation Problems. | Ronan Fablet, Lucas Drumetz, Franois Rousseau |
| 2021 | ICIP | Improving Classification Accuracy With Graph Filtering. | Mounia Hamidouche, Carlos Lassance, Yuqing Hu, Lucas Drumetz, Bastien Pasdeloup, Vincent Gripon |
| 2021 | IGARSS | End-to-End Kalman Filter for the Reconstruction of Sea Surface Dynamics from Satellite Data. | Said Ouala, Ronan Fablet, Lucas Drumetz, Bertrand Chapron, Ananda Pascual, Fabrice Collard, Lucile Gaultier |
| 2020 | ICASSP | Learning Endmember Dynamics in Multitemporal Hyperspectral Data Using A State-Space Model Formulation. | Lucas Drumetz, Mauro Dalla Mura, Guillaume Tochon, Ronan Fablet |
| 2020 | ICASSP | Assimilation-Based Learning of Chaotic Dynamical Systems from Noisy and Partial Data. | Duong Nguyen, Said Ouala, Lucas Drumetz, Ronan Fablet |
| 2020 | IGARSS | Physically Informed Neural Networks for the Simulation and Data-Assimilation of Geophysical Dynamics. | Said Ouala, Ronan Fablet, Lucas Drumetz, Bertrand Chapron, Ananda Pascual, Fabrice Collard, Lucile Gaultier |
| 2020 | IGARSS | Filtering Internal Tides from Wide-Swath Altimeter Data Using Convolutional Neural Networks. | Redouane Lguensat, Ronan Fablet, Julien Le Sommer, Sammy Metref, Emmanuel Cosme, Kaouther Ouenniche, Lucas Drumetz, Jonathan Gula |
| 2019 | IGARSS | Sea Surface Dynamics Reconstruction Using Neural Networks Based Kalman Filter. | Said Ouala, Ronan Fablet, Cdric Herzet, Lucas Drumetz, Bertrand Chapron, Ananda Pascual, Fabrice Collard, Lucile Gaultier |
| 2019 | IGARSS | Learning Ocean Dynamical Priors from Noisy Data Using Assimilation-Derived Neural Nets. | Said Ouala, Duong Nguyen, Cdric Herzet, Lucas Drumetz, Bertrand Chapron, Ananda Pascual, Fabrice Collard, Lucile Gaultier, Ronan Fablet |
| 2019 | IGARSS | Learning Differential Transport Operators for the Joint Super-Resolution of Sea Surface Tracers and Prediction of Subgrid-Scale Features. | Ronan Fablet, Julien Le Sommer, Jean-Marc Molines, Lucas Drumetz, Franois Rousseau, Bertrand Chapron |
| 2018 | ICASSP | Endmembers as Directional Data for Robust Material Variability Retrieval in Hyperspectral Image Unmixing. | Lucas Drumetz, Jocelyn Chanussot, Akira Iwasaki |
| 2018 | IGARSS | Extended Linear Mixing Model in an Ecosytem with High Spectral Variability. | Edurne Ibarrola-Ulzurrun, Lucas Drumetz, Jocelyn Chanussot, Consuelo Gonzalo-Martn, Javier Marcello |
| 2017 | ICASSP | Improved Local Spectral Unmixing of hyperspectral data using an algorithmic regularization path for collaborative sparse regression. | Lucas Drumetz, Guillaume Tochon, Miguel Angel Veganzones, Jocelyn Chanussot, Christian Jutten |
| 2017 | ICIP | Robust linear unmixing with enhanced sparsity. | Alexandre Tiard, Laurent Condat, Lucas Drumetz, Jocelyn Chanussot, Wotao Yin, Xiaoxiang Zhu |
| 2016 | ICIP | Hyperspectral unmixing with material variability using social sparsity. | Travis R. Meyer, Lucas Drumetz, Jocelyn Chanussot, Andrea L. Bertozzi, Christian Jutten |