activity
20202026
most citedPreliminary results in using Deep Learning to emulate BLOB, a nuclear interaction model

8 citations · 9 across the 11 of their papers we have counts for

collaborators
Showing 2026Show all

6 papers · 1 filter

nucl-ex2026

ePIC Early Science Report

D. Abbott, N. Abdelrahman, S. Abhijit +781

This Early Science Report from the ePIC Collaboration outlines the compelling physics program achievable during the first years of operation of the Electron-Ion Collider (EIC), pri…

q-bio.NC2026

Optimal stimulation sites are not the most affected: personalised models of resting-state fMRI in Alzheimer's disease

Cristiano Capone, Enza Cece, Andrea Ciardiello +3

Resting-state functional connectivity (FC) is altered in Alzheimer's disease (AD), widely regarded as a distributed network process; whether its signature reduces to a few focal si…

physics.ins-det2026

APEIRON: composing smart TDAQ systems for high energy physics experiments

Roberto Ammendola, Andrea Biagioni, Carlotta Chiarini +12

We present APEIRON, a distributed heterogeneous processing framework comprising both hardware architecture and software stack for multi-FPGA systems. Targeting smart trigger and da…

q-bio.NC2026

Bilinear gating of motor primitives: a principle linking dendritic computation to rapid goal-directed adaptation

Cristiano Capone, Luca Falorsi, Andrea Ciardiello +1

Movement requires the motor cortex to specify both \emph{what} action to produce and \emph{which goal} it serves, yet how individual neurons separate these factors is not understoo…

cs.LG2026

Unified Policy Value Decomposition for Rapid Adaptation

Cristiano Capone, Luca Falorsi, Andrea Ciardiello +1

Rapid adaptation in complex control systems remains a central challenge in reinforcement learning. We introduce a framework in which policy and value functions share a low-dimensio…

physics.ins-det2026★ 1 cited

Radiation tolerance tests on key components of the ePIC-dRICH readout card

S. Geminiani, B. R. Achari, N. Agrawal +60

The dual-radiator RICH (dRICH) detector of the ePIC experiment will employ over 300000 SiPM pixels as photosensors, organized into more than 1000 Photon Detection Units. Each PDU i…