Jose Costa
PhD Student · LISN, CentraleSupelec, Paris-Saclay University
I work on self-supervised learning for tabular data, anomaly detection, and robust machine learning systems. My recent research focuses on JEPA training dynamics and fraud detection in real-world financial data.
News
Publications
On the Training Dynamics and Loss Landscape of Linear Joint Embedding Predictive Architectures
Costa, J.L.M., Popineau, F., Rimmel, A., Doan, B.-L.
Work in progress, 2026.
High Performance, Low Reliability: Uncertainty Benchmarking for Tabular Foundation Models
Costa, J.L.M., Popineau, F., Rimmel, A., Doan, B.-L.
ESANN 2026.
Leveraging Self-Supervised Learning for Fraud Detection in Tabular Data
Costa, J.L.M., Popineau, F., Rimmel, A., Doan, B.-L.
19th FINANCIAL RISKS INTERNATIONAL FORUM, Institut Louis Bachelier.
T-JEPA: Augmentation-Free Self-Supervised Learning for Tabular Data
Thimonier, H.*, Costa, J.L.M.*, Popineau, F., Rimmel, A., Doan, B.-L.
ICLR 2025. *Joint first authors.
Spectral Graph-Based Networks for Mooring Line Failure Detection on FPSO
Costa, J.L.M. et al.
ASME 2024 43rd International Conference on Ocean, Offshore & Arctic Engineering (OMAE), Singapore.
Centered Kernel Alignment for Efficient Vision Transformer Quantization
Costa, J.L.M., Moineau, C., Allenet, T., & Kucher, I.
Oral presentation at 6th AccML Workshop, HiPEAC 2024, Munich.
FPSO Mooring Line Integrity Supervising System Based on Motion Data and Natural Frequency Estimation
Costa, J.L.M., Queiroz Filho, A.N., Santos, I.H.F., Barreira, R.A., Costa, A.H.R., Gomi, E.S., & Tannuri, E.A.
ASME 2021 40th International Conference on Ocean, Offshore and Arctic Engineering (OMAE).
Learning and Understanding Strategies on Zero-Sum Games
Costa, J.L.M., Poli, J., Nguyen, M.-B., Ducatez, A., Bouscary, M., & Boucher, B.
Oral presentation at Junior Multidisciplinary Congress, Universite Paris-Saclay, 2022.