Research

My main research interests are on unsupervised machine learning, particularly with geometrically-inspired representations. During my PhD, I worked on problems ranging from temporal graphs to generative modeling. Prior to my PhD research, my research interests focused on data visualization.

• dblp
• Google Scholar
• Semantic Scholar

Publications

• Studying the Propagation of Information in VAE Decoders (abstract)
  • Y. Rudolph, S. G. Fadel, S. Mair, and U. Brefeld
  • Northern Lights Deep Learning Workshop, 2022
• Principled Interpolation in Normalizing Flows
  • S. G. Fadel*, S. Mair*, R. da S. Torres, U. Brefeld
  • Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2021
  • paper arXiv video poster slides
• Contextual Movement Models Based on Normalizing Flows
  • S. G. Fadel*, S. Mair*, R. da S. Torres, U. Brefeld
  • AStA Advances in Statistical Analysis, Special Issue on Statistics in Sports, 2021
  • paper
• Efficient Normalizing Flows to Polytopes (abstract)
  • S. G. Fadel, S. Mair, R. da Silva Torres, and U. Brefeld
  • Northern Lights Deep Learning Workshop, 2020
• An Appropriate Prior Distribution for Interpolating Latent Samples in Flow-based Generative Models (abstract)
  • S. G. Fadel, S. Mair, R. da Silva Torres, and U. Brefeld
  • Northern Lights Deep Learning Workshop, 2020
• Neural Relational Inference for Disaster Multimedia Retrieval
  • S. G. Fadel, R. da S. Torres
  • Multimedia Tools and Applications, 2020
  • paper
• Link Prediction in Dynamic Graphs for Recommendation
  • S. G. Fadel, R. da S. Torres
  • NeurIPS Workshop on Relational Representation Learning, 2018
  • arXiv
• Graph-based Early Fusion for flood detection
  • R. de O. Werneck, Í. C. Dourado, S. G. Fadel, S. Tabbone, R. da S. Torres
  • IEEE International Conference on Image Processing (ICIP), 2018
  • paper
• UPDis: A User-Assisted Projection Technique for Distance Information
  • T. A. T. T. Neves, S. G. Fadel, G. M. Hilasaca, F. M. Fatore, F. V. Paulovich
  • Information Visualization, 2018
  • paper
• Exploiting ConvNet Diversity for Flooding Identification
  • K. Nogueira, S. G. Fadel, Í. C. Dourado, R. de O. Werneck, J. A. V. Muñoz, O. A. B. Penatti, R. T. Calumby, L. T. Li, J. A. dos Santos, R. da S. Torres
  • IEEE Geoscience and Remote Sensing Letters, 2018
  • paper
• Visualizing the Hidden Activity of Artificial Neural Networks
  • P. E. Rauber, S. G. Fadel, A. X. Falcão, A. C. Telea
  • IEEE Transactions on Visualization and Computer Graphics, 2016
  • paper
• LoCH: A Neighborhood-based Multidimensional Projection Technique for High-Dimensional Sparse Spaces
  • S. G. Fadel, F. M. Fatore, F. S. L. G. Duarte, F. V. Paulovich
  • Neurocomputing, 2015
  • paper
• Nmap: A Novel Neighborhood Preservation Space-filling Algorithm
  • F. S. L. G. Duarte, F. Sikansi, F. M. Fatore, S. G. Fadel, F. V. Paulovich
  • IEEE Transactions on Visualization and Computer Graphics, 2014
  • paper

Background

• 2021─present
  • Postdoc researcher
  • Machine Learning Group of Prof. Dr. Ulf Brefeld
  • Institute of Information Systems, Leuphana University

  • 2019─2020
    • Visiting researcher (15 months)
    • Machine Learning Group
    • Institute of Information Systems, Leuphana University
    • Advised by Prof. Dr. Ulf Brefeld

• 2017─2021
  • Ph.D. in Computer Science
  • Institute of Computing, University of Campinas
  • Advised by Prof. Dr. Ricardo Torres

  • 2015─2016
    • Visiting researcher (3 months)
    • Scientific Visualization and Computer Graphics
    • Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence, University of Groningen
    • Advised by Prof. Dr. Alex Telea

• 2014─2016
  • M.Sc. in Computer Science
  • Institute of Mathematical and Computer Sciences, University of São Paulo
  • Advised by Prof. Dr. Fernando Paulovich
• 2010─2013
  • B.Sc. in Computer Science
  • Institute of Mathematical and Computer Sciences, University of São Paulo