Bernardo
Ribeiro.
I’m a PhD candidate at Eindhoven University of Technology’s AIMS Lab. My research focuses on multimodal AI for anomaly detection, with interests in generative models, resource-efficient AI, and computer vision.
BackgroundMaster’s in Artificial Intelligence · Cum laude, 2025
WACV 2027
Generative modeling · Anomaly detection
B. P. Ribeiro, E. Akdag, E. Bondarev
Conditional flow matching for few-shot visual anomaly detection through single-step recovery in frozen DINOv2 feature space. Evaluated on MVTec-AD, VisA, and Real-IAD.
ICLR 2026
Generative modeling · Weather forecasting
B. P. Ribeiro, J. F. Pucer
Conditional flow matching for probabilistic precipitation nowcasting, with efficient sampling in 1–10 steps. Evaluated on the SEVIR and ARSO benchmarks.