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Federica Gerace

Showing results (1-10 of 5) with videos related to

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Physical Review. E|September 16, 2025
Bias-inducing geometries: An exactly solvable data model with fairness implicationsStefano Sarao Mannelli, Federica Gerace, Negar Rostamzadeh, et al.
Interface Focus|November 17, 2018
From statistical inference to a differential learning rule for stochastic neural networksLuca Saglietti, Federica Gerace, Alessandro Ingrosso, et al.
Physical Review. E|April 18, 2024
Gaussian universality of perceptrons with random labelsFederica Gerace, Florent Krzakala, Bruno Loureiro, et al.
Physical Review. E|June 15, 2016
Learning may need only a few bits of synaptic precisionCarlo Baldassi, Federica Gerace, Carlo Lucibello, et al.
Physical Review Letters|July 14, 2018
Role of Synaptic Stochasticity in Training Low-Precision Neural NetworksCarlo Baldassi, Federica Gerace, Hilbert J Kappen, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Physical Review. E|September 16, 2025
Bias-inducing geometries: An exactly solvable data model with fairness implicationsStefano Sarao Mannelli, Federica Gerace, Negar Rostamzadeh, et al.
Interface Focus|November 17, 2018
From statistical inference to a differential learning rule for stochastic neural networksLuca Saglietti, Federica Gerace, Alessandro Ingrosso, et al.
Physical Review. E|April 18, 2024
Gaussian universality of perceptrons with random labelsFederica Gerace, Florent Krzakala, Bruno Loureiro, et al.
Physical Review. E|June 15, 2016
Learning may need only a few bits of synaptic precisionCarlo Baldassi, Federica Gerace, Carlo Lucibello, et al.
Physical Review Letters|July 14, 2018
Role of Synaptic Stochasticity in Training Low-Precision Neural NetworksCarlo Baldassi, Federica Gerace, Hilbert J Kappen, et al.
Pageof 1