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.

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Background

Master’s in Artificial Intelligence · Cum laude, 2025

Research

Selected publications

All publications
ICLR 2026

Generative modeling · Weather forecasting

FlowCast: Advancing Precipitation Nowcasting with Conditional Flow Matching

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.

Paper Code
2025

Computer vision · Efficient AI

EdgeEar: Efficient Ear Recognition for Edge Devices

C. Lendering*, B. P. Ribeiro*, et al.

A compact CNN–Transformer for ear recognition on edge devices, using low-rank linear layers to reduce model size. Evaluated on the UERC2023 dataset.

Paper