About

I’m a second-year MSc student at the Federal University of Minas Gerais, Brazil. My interests and current research involve self-supervised learning, world models, reinforcement learning, image matching, and energy-based models.

I completed my undergraduate degree in electrical engineering at the Federal University of Minas Gerais. Through a two-year double degree program, I also earned a French engineering degree (Diplôme d’Ingénieur) from Télécom Paris (Institut Polytechnique de Paris). I have conducted research in many laboratories and recently completed a six-month internship at Philips in Paris, where I worked on self-supervised learning for ECG signal processing.

Publications

1. Learning Navigable World Models via Latent Energy Shaping
   Luiz Facury, Jose Fernandes, Pedro Dutenhefner, Gisele Pappa, Wagner Meira Jr.
   2nd Workshop on World Models @ ICLR 2026

2. Beyond Patient Invariance: Learning Cardiac Dynamics via Action-Conditioned JEPAs
   Jose Fernandes, Luiz Facury, Pedro Dutenhefner, Gisele Pappa, Wagner Meira Jr.
   2nd Workshop on World Models @ ICLR 2026

3. Transfering Clinical Knowledge into ECGs Representation: A Self-Supervised Approach for Interpretable, Unimodal-at-Inference Diagnosis
   Jose Fernandes, Luiz Facury de Souza, Pedro Dutenhefner, Gisele Pappa, Wagner Meira Jr.
   TS4H @ NeurIPS 2025

4. Curved Spaces, Enhanced Diagnosis: Hyperbolic Neural Networks for Multi-label ECG Classification
   Pedro Dutenhefner, Diogo Tuler, Turi Rezende, José Fernandes, Luiz Facury, Luísa Porfírio, Yan Aquino, Arthur Buzelin, Pedro Bento, Gabriela Piaxão, Gisele Pappa, Antonio Ribeiro Wagner Jr.
   Computing in Cardiology (CinC), 2025

5. Clinically Interpretable Zero-Shot ECG Classification via Multimodal Learning and Expert-Aligned Descriptors
   Luiz Facury de Souza, Jose Fernandes, Pedro Dutenhefner, Turi Rezende, Gisele Pappa, Gabriela Paixão, Antonio Ribeiro Wagner Jr.
   CINC 2025/LXAI @ ICML 2025 (Selected for oral presentation at LXAI @ ICML)

6. Dense Self-Supervised Learning for Medical Image Segmentation
   Maxime Seince, Loic Le Folgoc, Luiz Augusto Facury de Souza, Elsa Angelini
   Medical Imaging with Deep Learning (MIDL), 2024

7. Multiple-Input–Multiple-Output Randomized Fuzzy Cognitive Map Method for High-Dimensional Time Series Forecasting
   Omid Orang, Hugo Vinicius Bitencourt, Luiz Augusto Facury de Souza, Patrícia de Oliveira Lucas, Petrônio CL Silva, Frederico Gadelha Guimarães
   IEEE Transactions on Fuzzy Systems, 2024

8. Combining embeddings and fuzzy time series for high-dimensional time series forecasting in internet of energy applications
   Hugo Vinicius Bitencourt, Luiz Augusto Facury de Souza, Matheus Cascalho dos Santos, Rodrigo Silva, Petrônio Cândido de Lima e Silva, Frederico Gadelha Guimarães
   Elsevier Energy, 2023

9. An embedding-based non-stationary fuzzy time series method for multiple output high-dimensional multivariate time series forecasting in IoT applications
   Hugo Vinicius Bitencourt, Omid Orang, Luiz Augusto Facury de Souza, Petronio CL Silva, Frederico Gadelha Guimaraes
   Springer Neural Computing and Applications, 2023