Paper “Time Series Representations with Hard-Coded Invariances” accepted to ICML 2025
Paper “The Signed Two-Space Proximity Model for Learning Representations in Protein-Protein Interaction Networks” accepted for publication at OUP Bioinformatics Journal
Paper “Signed Graph Autoencoder for Explainable and Polarization-Aware Network Embeddings” to be presented as a poster in AISTATS 2025, Thailand
Paper “Neural Ordinary Differential Equations for Modeling Epidemic Spreading” presented at ICLR 2024 and published in Transactions on Machine Learning (TMLR) journal, awarded with Featured Certification
Paper “TimeGNN: Temporal Dynamic Graph Learning for Time Series Forecasting” accepted at The 12th International Conference on Complex Networks and their Applications, 2023, Menton Riviera, France
Background
ML Researcher currently working at Centre Borelli, ENS Paris-Saclay. Passionate about the efficient and scalable application of ML to real-world problems, particularly involving complex and dynamically evolving data, especially for industrial and engineering applications.