Publications

2022

A. Hyttinen, V. Barin-Pacela, A. Hyvärinen. Binary Independent Component Analysis: A Non-stationarity-based Approach. 38th Conference on Uncertainty in Artificial Intelligence (UAI). 2022. Paper.


2020

D. Belayneh, F. Carminati, A. Farbin, B. Hooberman, G. Khattak, M. Liu, J. Liu, D. Olivito, V. Barin Pacela, M. Pierini, A. Schwing, M. Spiropulu, S. Vallecorsa, J-R. Vlimant, W. Wei, and M. Zhang. Calorimetry with deep learning: particle simulation and reconstruction for collider physics. The European Physical Journal C. 80 (7), 1-31. 2020. Paper


2017

B. Hooberman, M. Zhang, W. Wei, V. Barin Pacela, G. Khattak, S. Vallecorsa, A. Farbin, J-R. Vlimant, F. Carminati, M. Spiropulu, M. Pierini. Calorimetry with deep learning: particle classification, energy regression, and simulation for high-energy physics. Workshop on Deep Learning for Physical Sciences, NIPS. 2017. Paper