andres masegosa

Positions

• PhD positions in Probabilistic Machine Learning:

  • Email me if you are interested

News

• [April 2022] I’ve invited to give a course about Probabilistic Programming and Variational Inference at the Nordic Probabilisitc AI Summer School, Helsinki, 13-17 June, 2022.

• [January 2022] One paper accepted at AISTATS 2022!!:

  Luis A. Ortega, Rafael Cabañas, Andres R. Masegosa. Diversity and Generalization in Neural Network Ensembles. arXiv:2110.13786.

• [December 2021] Video recording of my invited talk at the NeurIPS 2021 Workshop Your Model is Wrong: Robustness and misspecification in probabilistic modeling:

• [September 2021] One paper accepted at NeurIPS 2021!!:

  Chebyshev-Cantelli PAC-Bayes-Bennett Inequality for the Weighted Majority Vote. arXiv:2106.13624.

• [August 2021] I have started my new position as Associate Professor at Aalborg University (Copenhagen Campus)!! .

• [July 2021] I’ve been invited to give a talk at the NeurIPS 2021 Workshop Your Model is Wrong: Robustness and misspecification in probabilistic modeling.

• [June 2021] I got a new position as Associate Professor at Aalborg University (Copenhagen Campus)!!

• [February 2021] I have an open PhD position in collaboration with the University of Deusto (Spain). Details here.

• [Februray 2021] I have been invited to give a talk at the Artificial Intelligence Research Group Talks (Computer Laboratory) at the University of Cambridge. Talk

• [Januray 2021] Our overview paper about probabilistic models and deep neural networks has been accepted in Entropy.

• [December 2020] We are looking for a two year post-doc to work at the intersection of probabilistic graphical models and deep learning.

• [November 2020] One paper about variational inference over nonstationary data streams accepted in Mathematics.

• [October 2020] A new pre-print version of our overview paper about probabilistic models and deep neural networks.

• [September 2020] Two papers accepted at NeurIPS 2020 about model misspecification and weighted majority voting.

• [September 2020] One paper about our probabilistic programming langage InferPy accepted at Neurocomputing.

• [June 2020] I’m very happy to have received a national research grant from the Spanish Ministry of Science and Innovation. This grant is for a research project for developing explainable machine learning methods using a probabilistic approach.

• [February 2020] One paper about the analysis of concept drift in the financial sector accepted at Intelligent Data Analysis.