Onur Dikmen — accepted AI-conference papers

2019

Differentially Private Markov Chain Monte Carlo

Mikko Heikkilä, Joonas Jälkö, Onur Dikmen, Antti Honkela

NeurIPS 2019spotlight

Recent developments in differentially private (DP) machine learning and DP Bayesian learning have enabled learning under strong privacy guarantees for the training data subjects. In this paper, we further extend the applicability of DP Bayesian learning by presenting the first general DP Markov chai…

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2015

Sound event detection in real life recordings using coupled matrix factorization of spectral representations and class activity annotations

Annamaria Mesaros, Toni Heittola, Onur Dikmen, Tuomas Virtanen

ICASSP 2015accepted

Methods for detection of overlapping sound events in audio involve matrix factorization approaches, often assigning separated components to event classes. We present a method that bypasses the supervised construction of class models. The method learns the components as a non-negative dictionary in a…

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