Greetings! I'm Antonin Sulc, a data scientist specializing in accelerator controls at the renowned [DESY] in Hamburg, Germany 🇩🇪 and soon also in Berlin.
Armed with a PhD from [University Konstanz] in the captivating field of light-field imaging, my interests are quite wide, they span from machine learning, anomaly detection, NLP to my latest fascination—quantum technologies.
Keen on forging innovative paths, I'm also excited to share that I'm founding a Mindling an AI startup!
Explore our vision and journey on our vibrant website, and stay connected with us on social networks, especially linkedin.
For a detailed overview of my journey, feel free to peruse my latest CV [pdf].
Publications
- 🇺🇸
A. Sulc, R. Kammering, A. Eichler, T. Wilksen
PACuna: Automated Fine-Tuning of Language Models for Particle Accelerators
at NeuralIPS 2023 Machine Learning for Physical Sciences Workshop, New Orleans, U.S.A.
[arxiv]
[git]
- 🇿🇦
A. Sulc, A. Eichler, T. Wilksen
Log Anomaly Detection on EuXFEL Nodes
at The 19th Biennial International Conference on Accelerator and Large Experimental Physics Control Systems, Cape Town, South Africa
(oral, 30% acceptance rate)
[pdf]
[arxiv]
[slides]
[git]
- 🇿🇦
A. Sulc, A. Eichler, T. Wilksen
Textual Analysis of ICALEPCS and IPAC Conference Proceedings: Revealing Research Trends, Topics, and Collaborations for Future Insights and Advanced Search
at The 19th Biennial International Conference on Accelerator and Large Experimental Physics Control Systems, Cape Town, South Africa
(oral, 30% acceptance rate)
[pdf]
[arxiv]
[slides]
[git]
- 🇿🇦
V. Rybnikov, A. Sulc
A Data Acquisition Middle Layer Server With Python Support For Linac Operation And Experiments Monitoring And Control
at The 19th Biennial International Conference on Accelerator and Large Experimental Physics Control Systems, Cape Town, South Africa
- 🇹🇭
A. Sulc, R. Kammering, T. Wilksen
A Data-Driven Beam Trajectory Monitoring at the European XFEL
at International Conference in Particle Accelerators 2022, Bangkok, Thailand
[pdf]
[git]
- 🇺🇸
A. Sulc, A. Eichler, T. Wilksen
A Data-Driven Anomaly Detection on SRF Cavities at the European XFEL
Journal of Physics: Conference Series, Volume 2420,
[pdf]
[doi]
- 🇺🇸
A. Sulc , O. Johannsen, B. Goldluecke
Recovery of Geometry, Natural Illumination and BRDF from a Single Light Field Image
at Journal of the Optical Society of America A (imapct factor 2.129)
[doi]
[git]
[pdf] (preprint)
- 🇬🇧
A. Sulc, I. Sato, B. Goldluecke, T. Treibitz
Towards Monocular Shape from Refraction at British Machine Vision Conference 2021, Virtual, United Kingdom 🇬🇧
❗ accepted as oral (3.3% acceptance) ❗
[git]
[pdf]
[bib]
- 🇹🇼
S. Ishihara, A. Sulc, I. Sato.
Depth from Spectral Defocus Blur at IEEE International Conference on Image Processing 2019, Taipei, Taiwan
[pdf]
- 🇺🇸
Ishihara, Shin, Antonin Sulc, Imari Sato.
Depth estimation using spectrally varying defocus blur.
at Journal of the Optical Society of America A (imapct factor 2.129)
- 🇺🇸
M. Zhu, A. Alperovich, O. Johannsen, A. Sulc, B. Goldluecke
An Epipolar Volume Autoencoder with Adversarial Loss for Deep Light Field Super-Resolution at Computer Vision and Pattern Recognition Conference 2019, Salt Lake City, U.S.A 🇺🇸
[pdf]
[poster]
- 🇮🇹
A. Sulc, O. Johannsen, B. Goldluecke.
Inverse Lightfield Rendering for Shape, Reflection and Natural Illumination
[pdf - corrected]
[pdf - old]
[video1]
[video2]
[video3]
[video4]
[video-lytro]
- 🇮🇹
O. Johannsen, K. Honauer, B. Goldluecke, A. Alperovich, F. Battisti, Y. Bok, M. Brizzi, M. Carli, G. Choe, M. Diebold, M. Gutsche, H. Jeon, I. Kweon, J. Park, J. Park, H. Schilling, H. Sheng, L. Si, M. Strecke, A. Sulc, Y. Tai, Q. Wang, T. Wang, S. Wanner, Z. Xiong, J. Yu, S. Zhang, H. Zhu A Taxonomy and Evaluation of Dense Light Field Depth Estimation Algorithms
[pdf]
- 🇹🇼
O. Johannsen, A. Sulc, N. Marniok, B. Goldluecke Layered scene reconstruction from multiple light field camera views
[pdf]
[poster]
[syntetic]
[lytro, Lambertian]
[lytro, semi-transparent - TBD]
[code]
[jpg]
- 🇩🇪
A. Sulc, A. Alperovich, N. Marniok, B. Goldluecke Reflection Separation in Light Fields based on Sparse Coding and Specular Flow
[pdf]
[talk]
🇩🇪
- O. Johannsen, A. Sulc, B. Goldluecke, Occlusion-aware depth estimation using sparse light field coding
[pdf]
[slides]
- 🇺🇸
O. Johannsen, A. Sulc, B. Goldluecke, What Sparse Light Field Coding Reveals About Scene Structure
[pdf]
[poster]
- 🇩🇪
O. Johannsen, A. Sulc, B. Goldluecke, Variational Separation of Light Field Layers
[pdf]
- 🇨🇱
O. Johannsen, A. Sulc, B. Goldluecke, On Linear Structure from Motion for Light Field Cameras
[pdf]
[poster]
[code]
[jpg]
Talks
Theses
- 🇩🇪 doctoral thesis Light Field Analysis for Non-Lambertian Scenes [pdf] 🇩🇪
- 🇨🇿master thesis On Parametric Model Creation with Neural Modeling Fields [pdf] 🇨🇿
- 🇨🇿bachelor thesis, Implementation of CMA-ES Evolutionary Algorithm
[code]
[pdf] 🇨🇿
Projects
-
Multiobject Tracking Repetitive Patterns with Autoencoder
[git]
-
Implementation of CMA-ES for JCool [git]
-
multiagent simulation for optimization [git]
