Robust kernels for robust location estimation. - Joseph Alejandro Gallego; Fabio A. González 001; Olfa Nasraoui (Neurocomputing, 2021)

Fast Kernel Density Estimation with Density Matrices and Random Fourier Features. - Joseph Alejandro Gallego; Juan F. Osorio; Fabio A. González 001 (IBERAMIA, 2022)

InQMAD: Incremental Quantum Measurement Anomaly Detection. - Joseph Gallego-Mejia; Oscar Bustos-Brinez; Fabio A. González 001 (ICDM (Workshops), 2022)

Risk Automatic Prediction for Social Economy Companies Using Camels. - Joseph Gallego-Mejia; Daniela Martin-Vega; Fabio A. González 001 (WEA, 2022)

Quantum Adaptive Fourier Features for Neural Density Estimation. - Joseph Alejandro Gallego; Fabio A. González 001 (CoRR, 2022)

AD-DMKDE: Anomaly Detection through Density Matrices and Fourier Features. - Oscar Bustos-Brinez; Joseph Gallego-Mejia; Fabio A. González 001 (CoRR, 2022)

LEAN-DMKDE: Quantum Latent Density Estimation for Anomaly Detection. - Joseph Gallego-Mejia; Oscar Bustos-Brinez; Fabio A. González 001 (CoRR, 2022)

Learning with density matrices and random features. - Fabio A. González 001; Joseph Alejandro Gallego; Santiago Toledo-Cortés; Vladimir Vargas-Calderón (Quantum Mach. Intell., 2022)

Fast Kernel Density Estimation with Density Matrices and Random Fourier Features Software. - Joseph Alejandro Gallego; Juan F. Osorio; Fabio A. González 001 (Zenodo, 2022)

Efficient Non-parametric Neural Density Estimation and Its Application to Outlier and Anomaly Detection. - Joseph A. Gallego-Mejia (AAAI, 2023)

LEAN-DMKDE: Quantum Latent Density Estimation for Anomaly Detection (Student Abstract). - Joseph A. Gallego-Mejia; Oscar A. Bustos-Brinez; Fabio A. González 001 (AAAI, 2023)

DEMANDE: Density Matrix Neural Density Estimation. - Joseph A. Gallego-Mejia; Fabio A. González 001 (IEEE Access, 2023)

Quantum Kernel Mixtures for Probabilistic Deep Learning. - Fabio A. González 001; Raúl Ramos-Pollán; Joseph A. Gallego-Mejia (CoRR, 2023)

Fewshot learning on global multimodal embeddings for earth observation tasks. - Matt Allen 001; Francisco Dorr; Joseph A. Gallego-Mejia; Laura Martínez-Ferrer; Anna Jungbluth; Freddie Kalaitzis; Raúl Ramos-Pollán (CoRR, 2023)

Large Scale Masked Autoencoding for Reducing Label Requirements on SAR Data. - Matt Allen 001; Francisco Dorr; Joseph A. Gallego-Mejia; Laura Martínez-Ferrer; Anna Jungbluth; Freddie Kalaitzis; Raúl Ramos-Pollán (CoRR, 2023)

Exploring Generalisability of Self-Distillation with No Labels for SAR-Based Vegetation Prediction. - Laura Martínez-Ferrer; Anna Jungbluth; Joseph A. Gallego-Mejia; Matt Allen 001; Francisco Dorr; Freddie Kalaitzis; Raúl Ramos-Pollán (CoRR, 2023)

Exploring DINO: Emergent Properties and Limitations for Synthetic Aperture Radar Imagery. - Joseph A. Gallego-Mejia; Anna Jungbluth; Laura Martínez-Ferrer; Matt Allen 001; Francisco Dorr; Freddie Kalaitzis; Raúl Ramos-Pollán (CoRR, 2023)

Efficient Non-Parametric Neural Density Estimation and Its Application to Outlier and Anomaly Detection - Joseph Alejandro Gallego-Mejia (2023)

DEMANDE Dataset. - Joseph A. Gallego-Mejia; Fabio A. González 001 (Zenodo, 2023)

M3LEO: A Multi-Modal, Multi-Label Earth Observation Dataset Integrating Interferometric SAR and Multispectral Data. - Matthew J. Allen 001; Francisco Dorr; Joseph Alejandro Gallego-Mejia; Laura Martínez-Ferrer; Anna Jungbluth; Freddie Kalaitzis; Raúl Ramos-Pollán (NeurIPS, 2024)

M3LEO: A Multi-Modal, Multi-Label Earth Observation Dataset Integrating Interferometric SAR and RGB Data. - Matthew J. Allen 001; Francisco Dorr; Joseph Alejandro Gallego-Mejia; Laura Martínez-Ferrer; Anna Jungbluth; Freddie Kalaitzis; Raúl Ramos-Pollán (CoRR, 2024)

Latent Anomaly Detection Through Density Matrices. - Joseph Gallego-Mejia; Oscar Bustos-Brinez; Fabio A. González 001 (CoRR, 2024)

3D-SAR Tomography and Machine Learning for High-Resolution Tree Height Estimation. - Grace Colverd; Jumpei Takami; Laura Schade; Karol Bot; Joseph A. Gallego-Mejia (CoRR, 2024)

Tree Species Classification using Machine Learning and 3D Tomographic SAR - a case study in Northern Europe. - Grace Colverd; Laura Schade; Jumpei Takami; Karol Bot; Joseph Gallego-Mejia (CoRR, 2024)

Tomographic SAR Reconstruction for Forest Height Estimation. - Grace Colverd; Jumpei Takami; Laura Schade; Karol Bot; Joseph A. Gallego-Mejia (CoRR, 2024)

Correction: Learning with density matrices and random features. - Fabio A. González 001; Joseph Alejandro Gallego; Santiago Toledo-Cortés; Vladimir Vargas-Calderón (Quantum Mach. Intell., 2024)