Research Scientist Aku Kammonen presents SDE learning research at the Prob_AI Hub Workshop
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StochNum group member Aku Kammonen presented the poster “Two-Stage Drift and Covariance Learning with Adaptive Random Fourier Features” at the Prob_AI Hub Workshop in Manchester, September 15–17, 2026. The work, with Owen Douglas, Anamika Pandey, and Prof. Raúl Tempone, explores how to learn the drift and covariance of stochastic differential equations from observed snapshots.
