Oz Amram

Postdoc, Collider Physics Division, Fermi National Accelerator Laboratory (Fermilab)

Joined

July 2025

Names

Oz Amram (Preferred)

Emails

****@fnal.gov (Confirmed)

,

****@jhu.edu

,

****@cern.ch (Confirmed)

Personal Links

Career & Education History

Postdoc

Collider Physics Division, Fermi National Accelerator Laboratory (Fermilab) (fnal.gov)

2022 – Present

PhD student

Physics & Astronomy , Johns Hopkins University (jhu.edu)

2016 – 2022

Advisors, Relations & Conflicts

PhD Advisor

Petar Maksimovic

Present

Expertise

AI Applications in Particle Physics

Present

Generative Models

Present

Anomaly Detection

Present

Publications

Aspen Open Jets: Unlocking LHC Data for Foundation Models in Particle Physics
Oz Amram, Luca Anzalone, Joschka Birk, Darius A Faroughy, Anna Hallin, Gregor Kasieczka, Michael Krämer, Ian Pang, Humberto Reyes-Gonzalez, David Shih
- MLST
- Readers: Everyone
Data-Driven High-Dimensional Statistical Inference with Generative Models
Oz Amram, Manuel Szewc
- Sub. to JHEP
- Readers: Everyone
Weakly supervised anomaly detection with event-level variables
Oz Amram, Liam Brennan, Tamas Almos Vami, Louis Moureaux
- PRD
- Readers: Everyone
Model-agnostic search for dijet resonances with anomalous jet substructure in proton-proton collisions at \sqrts = 13 TeV
Oz Amram
- ROPP
- Readers: Everyone
Denoising diffusion models with geometry adaptation for high fidelity calorimeter simulation
Oz Amram, Kevin Pedro
- OpenReview Archive Direct Upload
- Readers: Everyone
Tag N’ Train: a technique to train improved classifiers on unlabeled data
Oz Amram
- JHEP
- Readers: Everyone

Co-Authors