Vinicius Mikuni
Postdoc - Employee
National Energy Research Scientific Computing Center (NERSC)
Science Engagement & Workflows Dept.
Data & AI Services Group
Vinicius Mikuni is a NESAP for Learning Postdoctoral Fellow at NERSC. His current research focuses on machine learning development and application for experimental High Energy Physics, including Likelihood-free deep learning for detector simulation, unfolding, and anomaly detection on the search for new physics processes. He received his PhD in 2021 from the University of Zurich, measuring the production cross-section of top quark pairs in association to b quarks and the search for new physics in signatures involving third-generation fermions using the data collected by the CMS Collaboration.
Recent Publications
Artificial Intelligence for the Electron Ion Collider (AI4EIC)
Authors: Allaire, C; Ammendola, R; Aschenauer, E-C; Balandat, M; Battaglieri, M; Bernauer, J
December 2024, Computing and Software for Big Science
Distilling particle knowledge for fast reconstruction at high-energy physics experiments
Authors: Bal, A; Brandes, T; Iemmi, F; Klute, M; Maier, B; Mikuni, V
June 2024, Machine Learning: Science and Technology
Comparison of point cloud and image-based models for calorimeter fast simulation
Authors: Acosta, FT; Mikuni, V; Nachman, B; Arratia, M; Karki, B; Milton, R
May 2024, Journal of Instrumentation
Improving generative model-based unfolding with Schrödinger bridges
Authors: Diefenbacher, S; Liu, G-H; Mikuni, V; Nachman, B; Nie, W
April 2024, Physical Review D (particles, fields, gravitation, and cosmology)
The landscape of unfolding with machine learning
Authors: Huetsch, N; Mariño Villadamigo, J; Shmakov, A; Diefenbacher, S; Mikuni, V; Heimel, T
February 2025, SciPost Physics
Automated Approach to Accurate, Precise, and Fast Detector Simulation and Reconstruction
Authors: Dreyer, E; Gross, E; Kobylianskii, D; Mikuni, V; Nachman, B; Soybelman, N
November 2024, Physical Review Letters
Unifying simulation and inference with normalizing flows
Authors: Du, H; Krause, C; Mikuni, V; Nachman, B; Pang, I; Shih, D
April 2025, Physical Review D
Solving key challenges in collider physics with foundation models
Authors: Mikuni, V; Nachman, B
March 2025, Physical Review D
Method to simultaneously facilitate all jet physics tasks
Authors: Mikuni, V; Nachman, B
March 2025, Physical Review D
Method to simultaneously facilitate all jet physics tasks
Authors: Mikuni, V; Nachman, B
March 2025, Physical Review D
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