Aditya Jitta

I am finishing my PhD from University of Helsinki, where I am advised by Arto klami. I did my Masters in Machine learning at the University College London.

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Research

Currently, working on meta-learning and active learning pipelines for text classification. I am also interested in wide range of topics: Bayesian deep learning, Natural language processing, building end-to-end deep learning models for music.

	On Controlling the Size of Clusters in Probabilistic Clustering Aditya Jitta, Arto Klami AAAI, 2018 Controling the size of the clusters with the priors.Using constrained optimization.
	Partially hidden Markov models for privacy-preserving modeling of indoor trajectories Aditya Jitta, Arto Klami Neurocomputing, 2017 Infinite Hidden Markov model for indoor trajectories
	Few-to-few cross-domain object matching Aditya Jitta, Arto Klami AMBN, 2017 Cross domain object matching where the number of objects to match are constrained
	Probabilistic Size-constrained Microclustering. Arto Klami, Aditya Jitta UAI, 2016 A size-constrained clustering where the cluster size remains small as the data increases.

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