Antonin Sulc

Antonin Sulc, Ph.D.

Machine Learning Engineer & Computer Vision Specialist

Lawrence Berkeley National Laboratory

Computer Vision Quantum Computing AI for Physics
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About

I specialize in developing AI solutions for complex scientific problems, particularly in physics and particle accelerators. With a Ph.D. in Computer Vision from Uni Konstanz and extensive experience in machine learning, I bridge the gap between academic research and practical applications.

Currently working at Lawrence Berkeley National Laboratory, I focus on developing innovative AI solutions for particle accelerator control and optimization, pushing the boundaries of what's possible in scientific computing.

Selected Publications

Journals

Unsupervised Log Anomaly Detection with Few Unique Tokens

IET Journal Information Security (in review)

A. Sulc, A. Eichler, T. Wilksen

A Data-Driven Anomaly Detection on SRF Cavities at the European XFEL

Journal of Physics: Conference Series, Vol. 2420, No. 1, 2023

A. Sulc, A. Eichler, T. Wilsken

Recovery of Geometry, Natural Illumination and BRDF from a Single Light Field Image

Journal of the Optical Society of America A, 2022

A. Sulc, O. Johannsen, B. Goldluecke

Depth Estimation Using Spectrally Varying Defocus Blur

Journal of the Optical Society of America A, 2021

S. Ishihara, A. Sulc, I. Sato

Peer-Reviewed Publications

Towards Agentic AI on Particle Accelerators

ML4Physics Workshop at NeurIPS 2024, New Orleans, USA

A. Sulc, T. Hellert, R. Kammering, H. Houscher, J. M. St. John

PACuna: Automated Fine-Tuning of Language Models for Particle Accelerators

ML4Physics Workshop at NeurIPS 2023, New Orleans, USA

A. Sulc, R. Kammering, A. Eichler, T. Wilksen

Towards Monocular Shape from Refraction

BMVC 2021 (Oral, 3.3% acceptance)

A. Sulc, I. Sato, B. Goldluecke, T. Treibitz

Depth from Spectral Defocus Blur

ICIP 2019

S. Ishihara, A. Sulc, I. Sato

Conference Proceedings

ChatQCD: Let Large Language Models Explore QCD

42nd International Conference on High Energy Physics (ICHEP 2024)

A. Sulc, P. Connor

Automated Anomaly Detection on European XFEL Klystrons

International Conference on Particle Accelerators 2024, Nashville, USA

A. Sulc, A. Eichler, T. Wilksen

Towards Unlocking Insights from Logbooks Using AI

International Conference on Particle Accelerators 2024, Nashville, USA

A. Sulc, A. Eichler, G. Hartmann, T. Wilksen, J. St. John, F. Mayet, J. Maldonado, D. Ratner, J. Kaiser, V. Kain, T. Hellert, H. Hoschouer

Log Anomaly Detection on EuXFEL Nodes

19th International Conference on Accelerator and Large Experimental Physics Control Systems (ICALEPCS 2023), Cape Town, South Africa (Oral)

Contact

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