AGAZZI, ANDREA Statistiche



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Titolo Data di pubblicazione Autore(i) File
The Colored Hofstadter Butterfly for the Honeycomb Lattice 1-gen-2014 Agazzi, A.; Eckmann, J. -P.; Graf, G. M.
Global optimality of softmax policy gradient with single hidden layer neural networks in the mean-field regime 1-gen-2021 Agazzi, Andrea; Lu, Jianfeng
Large deviations for Markov jump processes with uniformly diminishing rates 1-gen-2021 Agazzi, Andrea; Andreis, Luisa; Patterson, Robert I. A.; Michiel Renger, D. R.
Large deviations for Markov jump processes with uniformly diminishing rates 1-gen-2022 Agazzi, A; Andreis, L; Patterson, Ria; Renger, Drm
Large deviations theory for Markov jump models of chemical reaction networks 1-gen-2018 Agazzi, Andrea; Dembo, Amir; Eckmann, Jean-Pierre
Metabolomics identifies a biomarker revealing in vivo loss of functional β-cell mass before diabetes onset 1-gen-2019 Li, L.; Krznar, P.; Erban, A.; Agazzi, A.; Martin-Levilain, J.; Supale, S.; Kopka, J.; Zamboni, N.; Maechler, P.
On the Geometry of Chemical Reaction Networks: Lyapunov Function and Large Deviations 1-gen-2018 Agazzi, A.; Dembo, A.; Eckmann, J. -P.
Random Splitting of Fluid Models: Ergodicity and Convergence 1-gen-2022 Agazzi, Andrea; Mattingly, Jonathan C.; Melikechi, Omar
Temporal-difference learning with nonlinear function approximation: lazy training and mean field regimes 1-gen-2022 Agazzi, Andrea; Lu, Jianfeng
Urgency-aware optimal routing in repeated games through artificial currencies 1-gen-2021 Salazar, M.; Paccagnan, D.; Agazzi, A.; Heemels, W. P. M. H. M.