no code implementations • 15 Mar 2024 • Antonios Alexos, Yu-Dai Tsai, Ian Domingo, Maryam Pishgar, Pierre Baldi
Creating controlled methods to simulate neurodegeneration in artificial intelligence (AI) is crucial for applications that emulate brain function decline and cognitive disorders.
no code implementations • 24 Feb 2021 • Prateek Agrawal, Martin Bauer, James Beacham, Asher Berlin, Alexey Boyarsky, Susana Cebrian, Xabier Cid-Vidal, David d'Enterria, Albert De Roeck, Marco Drewes, Bertrand Echenard, Maurizio Giannotti, Gian Francesco Giudice, Sergei Gninenko, Stefania Gori, Evgueni Goudzovski, Julian Heeck, Pilar Hernandez, Matheus Hostert, Igor Irastorza, Alexander Izmaylov, Joerg Jaeckel, Felix Kahlhoefer, Simon Knapen, Gordan Krnjaic, Gaia Lanfranchi, Jocelyn Monroe, Verena Martinez-Outschoorn, Jacobo Lopez-Pavon, Silvia Pascoli, Maxim Pospelov, Diego Redigolo, Andreas Ringwald, Oleg Ruchayskiy, Joshua Ruderman, Haether Russell, Jakob Salfeld-Nebgen, Philip Schuster, Mikhail Shaposhnikov, Lesya Shchutska, Jessie Shelton, Yotam Soreq, Yevgeny Stadnik, Joel Swallow, Kohsaku Tobioka, Yu-Dai Tsai
With the establishment and maturation of the experimental programs searching for new physics with sizeable couplings at the LHC, there is an increasing interest in the broader particle and astrophysics community for exploring the physics of light and feebly-interacting particles as a paradigm complementary to a New Physics sector at the TeV scale and beyond.
High Energy Physics - Phenomenology
1 code implementation • 20 Dec 2018 • Carlos A. Argüelles, Matheus Hostert, Yu-Dai Tsai
Testable neutrino mass generation models have recently been proposed as a solution to the MiniBooNE excess.
High Energy Physics - Phenomenology
