Lucas Drumetz
Orcid: 0000-0003-3362-703X
According to our database1,
Lucas Drumetz
authored at least 74 papers
between 2014 and 2024.
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Bibliography
2024
Physics Informed and Data Driven Simulation of Underwater Images via Residual Learning.
CoRR, 2024
2023
Trans. Mach. Learn. Res., 2023
IEEE Trans. Geosci. Remote. Sens., 2023
CoRR, 2023
Proceedings of the Topological, 2023
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Spatial Graph Signal Interpolation with an Application for Merging BCI Datasets with Various Dimensionalities.
Proceedings of the IEEE International Conference on Acoustics, 2023
Leveraging Neural Koopman Operators to Learn Continuous Representations of Dynamical Systems from Scarce Data.
Proceedings of the IEEE International Conference on Acoustics, 2023
Entropy Based Feature Regularization to Improve Transferability of Deep Learning Models.
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Learning Sentinel-2 Reflectance Dynamics for Data-Driven Assimilation and Forecasting.
Proceedings of the 31st European Signal Processing Conference, 2023
2022
Correction: Martinez et al. Neural Network Approaches to Reconstruct Phytoplankton Time-Series in the Global Ocean. Remote Sens. 12, 2020, 4156.
Remote. Sens., 2022
CoRR, 2022
Preserving Fine-Grain Feature Information in Classification via Entropic Regularization.
CoRR, 2022
Proceedings of the 30th European Signal Processing Conference, 2022
2021
IEEE Trans. Geosci. Remote. Sens., 2021
Joint Interpolation and Representation Learning for Irregularly Sampled Satellite-Derived Geophysical Fields.
Frontiers Appl. Math. Stat., 2021
End-to-End Kalman Filter for the Reconstruction of Sea Surface Dynamics from Satellite Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
End-to-End Learning of Variational Models and Solvers for the Resolution of Interpolation Problems.
Proceedings of the IEEE International Conference on Acoustics, 2021
Geometry-Preserving Lie Group Integrators for Differential Equations on the Manifold of Symmetric Positive Definite Matrices.
Proceedings of the Geometric Science of Information - 6th International Conference, 2021
Learning Sentinel-2 Spectral Dynamics for Long-Run Predictions using Residual Neural Networks.
Proceedings of the 29th European Signal Processing Conference, 2021
Learning stochastic dynamical systems with neural networks mimicking the Euler-Maruyama scheme.
Proceedings of the 29th European Signal Processing Conference, 2021
Inferring Graph Signal Translations as Invariant Transformations for Classification Tasks.
Proceedings of the 29th European Signal Processing Conference, 2021
2020
Spectral Variability Aware Blind Hyperspectral Image Unmixing Based on Convex Geometry.
IEEE Trans. Image Process., 2020
Neural Network Approaches to Reconstruct Phytoplankton Time-Series in the Global Ocean.
Remote. Sens., 2020
Spectral Unmixing: A Derivation of the Extended Linear Mixing Model From the Hapke Model.
IEEE Geosci. Remote. Sens. Lett., 2020
Variational Deep Learning for the Identification and Reconstruction of Chaotic and Stochastic Dynamical Systems from Noisy and Partial Observations.
CoRR, 2020
Joint learning of variational representations and solvers for inverse problems with partially-observed data.
CoRR, 2020
Physically Informed Neural Networks for the Simulation and Data-Assimilation of Geophysical Dynamics.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
Filtering Internal Tides from Wide-Swath Altimeter Data Using Convolutional Neural Networks.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
Assimilation-Based Learning of Chaotic Dynamical Systems from Noisy and Partial Data.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Learning Endmember Dynamics in Multitemporal Hyperspectral Data Using A State-Space Model Formulation.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
2019
Hyperspectral Image Unmixing With Endmember Bundles and Group Sparsity Inducing Mixed Norms.
IEEE Trans. Image Process., 2019
Hyperspectral Classification Through Unmixing Abundance Maps Addressing Spectral Variability.
IEEE Trans. Geosci. Remote. Sens., 2019
End-to-end learning of energy-based representations for irregularly-sampled signals and images.
CoRR, 2019
Spatial Characterization Of Marine Vegetation Using Semisupervised Hyperspectral Unmixing.
Proceedings of the 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2019
Learning Ocean Dynamical Priors from Noisy Data Using Assimilation-Derived Neural Nets.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Learning Differential Transport Operators for the Joint Super-Resolution of Sea Surface Tracers and Prediction of Subgrid-Scale Features.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
2018
Classification Using Unmixing Models in Areas With Substantial Endmember Variability.
Proceedings of the 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2018
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Endmembers as Directional Data for Robust Material Variability Retrieval in Hyperspectral Image Unmixing.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
2017
Relationships Between Nonlinear and Space-Variant Linear Models in Hyperspectral Image Unmixing.
IEEE Signal Process. Lett., 2017
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017
Improved Local Spectral Unmixing of hyperspectral data using an algorithmic regularization path for collaborative sparse regression.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Estimating the Number of Endmembers to Use in Spectral Unmixing of Hyperspectral Data with Collaborative Sparsity.
Proceedings of the Latent Variable Analysis and Signal Separation, 2017
2016
Blind Hyperspectral Unmixing Using an Extended Linear Mixing Model to Address Spectral Variability.
IEEE Trans. Image Process., 2016
IEEE Trans. Geosci. Remote. Sens., 2016
From local to global unmixing of hyperspectral images to reveal spectral variability.
Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016
Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016
Proceedings of the 24th European Signal Processing Conference, 2016
2015
Semiautomatic classification of cementitious materials using scanning electron microscope images.
J. Electronic Imaging, 2015
Blind hyperspectral unmixing using an extended linear mixing model to address spectral variability.
Proceedings of the 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2015
2014
Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014
Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014