1 code implementation • 16 May 2023 • Roberto Moretti, Marco Rossi, Matteo Biassoni, Andrea Giachero, Michele Grossi, Daniele Guffanti, Danilo Labranca, Francesco Terranova, Sofia Vallecorsa
The physics potential of massive liquid argon TPCs in the low-energy regime is still to be fully reaped because few-hits events encode information that can hardly be exploited by conventional classification algorithms.
1 code implementation • 18 Apr 2023 • Ragnhild Holden Helland, Alexandros Ferles, André Pedersen, Ivar Kommers, Hilko Ardon, Frederik Barkhof, Lorenzo Bello, Mitchel S. Berger, Tora Dunås, Marco Conti Nibali, Julia Furtner, Shawn Hervey-Jumper, Albert J. S. Idema, Barbara Kiesel, Rishi Nandoe Tewari, Emmanuel Mandonnet, Domenique M. J. Müller, Pierre A. Robe, Marco Rossi, Lisa M. Sagberg, Tommaso Sciortino, Tom Aalders, Michiel Wagemakers, Georg Widhalm, Marnix G. Witte, Aeilko H. Zwinderman, Paulina L. Majewska, Asgeir S. Jakola, Ole Solheim, Philip C. De Witt Hamer, Ingerid Reinertsen, Roelant S. Eijgelaar, David Bouget
The current standard method for estimating it is subject to high inter- and intra-rater variability, and an automated method for segmentation of residual tumor in early post-operative MRI could lead to a more accurate estimation of extent of resection.
1 code implementation • 9 Jun 2021 • Qingyun Wu, Chi Wang, John Langford, Paul Mineiro, Marco Rossi
We propose the ChaCha (Champion-Challengers) algorithm for making an online choice of hyperparameters in online learning settings.
1 code implementation • 2 Mar 2021 • Marco Rossi, Sofia Vallecorsa
In this work, we investigate different machine learning-based strategies for denoising raw simulation data from the ProtoDUNE experiment.
1 code implementation • 15 Dec 2020 • Marco Rossi, Stefano Carrazza, Juan M. Cruz-Martinez
We present PDFFlow, a new software for fast evaluation of parton distribution functions (PDFs) designed for platforms with hardware accelerators.
no code implementations • 23 Nov 2020 • Jayant Gupchup, Ashkan Aazami, Yaran Fan, Senja Filipi, Tom Finley, Scott Inglis, Marcus Asteborg, Luke Caroll, Rajan Chari, Markus Cozowicz, Vishak Gopal, Vinod Prakash, Sasikanth Bendapudi, Jack Gerrits, Eric Lau, Huazhou Liu, Marco Rossi, Dima Slobodianyk, Dmitri Birjukov, Matty Cooper, Nilesh Javar, Dmitriy Perednya, Sriram Srinivasan, John Langford, Ross Cutler, Johannes Gehrke
Large software systems tune hundreds of 'constants' to optimize their runtime performance.
1 code implementation • 14 Sep 2020 • Stefano Carrazza, Juan M. Cruz-Martinez, Marco Rossi
We present PDFFlow, a new software for fast evaluation of parton distribution functions (PDFs) designed for platforms with hardware accelerators.
no code implementations • 4 Jun 2020 • Andrea Nava, Alessandro Papa, Marco Rossi, Domenico Giuliano
We formulate a generalized susceptible exposed infectious recovered (SEIR) model on a graph, describing the population dynamics of an open crowded place with an arbitrary topology.
Physics and Society Populations and Evolution