AI & ML interests
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Papers
(Sparse) Attention to the Details: Preserving Spectral Fidelity in ML-based Weather Forecasting Models
Follow the Mean: Reference-Guided Flow Matching
The Amsterdam Machine Learning Lab (AMLab) conducts research in machine learning, artificial intelligence, and its applications to large scale data domains in science and industry. This includes the development of deep generative models, methods for approximate inference, probabilistic programming, Bayesian deep learning, causal inference, reinforcement learning, graph neural networks, and geometric deep learning.
AMLab comprises 6 faculty. Jan-Willem van de Meent, who serves as director, Max Welling, Herke van Hoof, Erik Bekkers, Christian Naesseth, and Sara Magliacane. The lab participates in public-private partnerships with industry through the QUvA Lab (with Qualcomm) and the Delta Lab (with Bosch). The lab also engages in cross-disciplinary collaborations through the AI4Science Lab.