Konstantinos Pitas, Ph.D.
655 Av. de l'Europe
Montbonnot-Saint-Martin
38330, France
I’m a postdoctoral researcher at Inria Grenoble Rhône-Alpes, Statify team. In 2020, I completed my Ph.D. at École Polytechnique Fédérale de Lausanne (EPFL), Switzerland, which I obtained under the supervision of professor Pierre Vandergheynst. I completed my Bachelor’s and Master’s in Electrical and Computer Engineering at Aristotle University of Thessaloniki (AUTh), Greece.
My research interests include broadly various topics in ML Safety, with a particular focus on Deep Ensembles, Bayesian Neural Networks and PAC-Bayesian generalization bounds. I am also interested in LLMs and GNNs.
I’m very passionate about transparent governance and enjoy analysing various topics on political polling and psephology on kassiope.org (in Greek).
News
Oct 4, 2023 | Something for (almost) nothing: Improving deep ensemble calibration using unlabeled data, new Arxiv preprint |
---|---|
Sep 11, 2023 | The fine print on tempered posteriors, accepted at ACML2023! |
Jun 1, 2023 | Europepolls: A Dataset of Country-Level Opinion Polling Data for the European Union and the UK, new Arxiv preprint |
Jun 22, 2022 | Cold Posteriors through PAC-Bayes, accepted at NeurIPS 2022 Workshop on Trustworthy and Socially Responsible Machine Learning |