Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Conference Participation
I attended the HAICON event at Munich, Germany.
PhD Thesis Defended
I defended my PhD Thesis in Kaiserslautern, Germany.
Conference Participation
I attended the EurIPS event giving one poster presentation at the REO workshop.
New Position
I joined the GFZ Helmholtz Centre for Geosciences in Potsdam!
Conference Participation
I attended the IGARSS conference giving four presentations (oral and poster), and chairing a session.
Research Visit
I did a research stay at the EVERGREEN team at Inria in Montpellier.
Teaching Activities
I taught one module of the applied ML course at the RPTU in the winter semester.
Conference Participation
I attended the MACLEAN workshop at the ECML-PKDD conference, with an oral presentation.
Conference Participation
I attended the IGARSS conference giving two oral presentations.
Conference Participation
I attended the ML4RS workshop at ICRL conference giving one poster presentation.
Conference Participation
I attended the PhD Forum at the ECML-PKDD conference giving one poster presentation.
Summer School Participation
I attended the INRIA-DFKI Summer School on Artificial Intelligence giving one poster presentation.
Conference Participation
I attended the IGARSS conference giving one oral presentation and co-chair a session.
PhD journey started
I started my PhD at the University of Kaiserslautern-Landau.
Teaching Activities
I taught two courses in the second semester of the UTFSM.
Master Thesis Defended
I defended my Master Thesis in Chile!
portfolio
publications
Refining exoplanet detection using supervised learning and feature engineering
Published in Latin American Computer Conference (CLEI), 2018
Keywords: Exoplanet detection, Machine learning, Feature extraction.
A binary variational autoencoder for hashing
Published in Iberoamerican Congress on Pattern Recognition (CIARP), 2019
Keywords: Information Retrieval, Hashing, Variational AutoEncoder, Text Data, Deep Learning.
Revisiting Machine Learning from Crowds a Mixture Model for Grouping Annotations
Published in Iberoamerican Congress on Pattern Recognition (CIARP), 2019
Keywords: Label Noise, Machine Learning, Latent variable.
Harnessing the power of CNNs for unevenly-sampled light-curves using Markov transition field
Published in Astronomy and Computing, 2021
Keywords: Deep Learning, Exoplanet detection, Representation Learning, Time series Imaging.
On the quality of deep representations for Kepler light curves using variational auto-encoders
Published in Signals, 2021
Keywords: Deep Learning, Variational Autoencoder, Light Curves, Representation Learning, Time series data.
Predicting crop yield with machine learning: An extensive analysis of input modalities and models on a field and sub-field level
Published in IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2023
Keywords: Crop yield prediction, Remote Sensing, Multi-Modal Learning.
A comparative assessment of multi-view fusion learning for crop classification
Published in IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2023
Keywords: Crop-type mapping, Multi-view learning, Data fusion, Remote sensing.
Common practices and taxonomy in deep multi-view fusion for remote sensing applications
Published in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024
Keywords: Earth observation, Multi-view learning, Data fusion.
Increasing the robustness of model predictions to missing sensors in Earth observation
Published in MACLEAN workshop at ECML-PKDD, 2024
Keywords: Earth observation, Multi-sensor learning, Missing sensors.
Impact assessment of missing data in model predictions for Earth observation applications
Published in IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2024
Keywords: Vegetation Applications, Multi-view learning, Missing data.
Adaptive fusion of multi-modal remote sensing data for optimal sub-field crop yield prediction
Published in Remote Sensing of Environment, 2025
Keywords: Crop yield prediction, Multi-modal remote sensing data, Time series, Adaptive fusion.
Multi-sensor model for Earth observation robust to missing data via sensor dropout and mutual distillation
Published in IEEE Access, 2025
Keywords: Multi-sensor model, Earth observation, Robustness, Multi-task learning, Mutual distillation.
Missing data as augmentation in the Earth Observation domain: A multi-view learning approach
Published in Neurocomputing, 2025
Keywords: Multi-view learning, Data augmentation, Robustness, Earth observation, Missing data.
On what depends the robustness of multi-source models to missing data in Earth observation?
Published in IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2025
Keywords: Vegetation Applications, Multi-view learning, Missing data.
In the search for optimal multi-view learning models for crop classification with global remote sensing data
Published in International Journal of Applied Earth Observation and Geoinformation, 2025
Keywords: Multi-view learning, Data fusion, Earth observation, Crop classification.
Multi-modal co-learning for Earth observation: enhancing single-modality models via modality collaboration
Published in Machine Learning, 2025
Keywords: Multi-modal data, Co-learning, Earth observation, Missing modalities.
YieldSAT: A multimodal benchmark dataset for high-resolution crop yield prediction
Published in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026
Keywords: Crop yield prediction, Dataset, Remote sensing.
Co-Learning for missing arbitrary modalities in multi-modal classification
Accepted in Discovery Science, 2026
Keywords: Multi-modal classification, Co-learning, Missing modalities, Robustness.
talks
teaching
Mathematics
Laboratory, Federico Santa Maria Technical University (UTFSM), 2014
Laboratory Assistant in the course using Mathlab.
Fundamentals of Operations Research
Course Assistant, Federico Santa Maria Technical University (UTFSM), 2017
Teacher Assistant in the course over three semesters.
Machine Learning
Course Assistant, Federico Santa Maria Technical University (UTFSM), 2017
Teacher Assistant in the course over three semesters.
Artificial Neural Networks
Course Assistant, Federico Santa Maria Technical University (UTFSM), 2019
Teacher Assistant in the course over the three semester.
Computational Statistics
Course Assistant, Federico Santa Maria Technical University (UTFSM), 2019
Teacher Assistant in the course over two semesters.
Artificial Neural Networks
Course, Federico Santa Maria Technical University (UTFSM), 2020
Lecturer in the course over the second semester.
Computational Statistics
Course, Federico Santa Maria Technical University (UTFSM), 2020
Lecturer in the course over three semesters.
Applications of Machine Learning and Data Science
Course Module, University of Kaiserslautern-Landau (RPTU), 2024
Lecturer in the Machine Learning for Earth Observation Application module over the winter semester.