Publications

• 🇺🇸 A. Sulc, T. Hellert, R. Kammering, H. Houscher, J. St. John Towards Agentic AI on Particle Accelerators at Machine Learning and the Physical Sciences Workshop at NeuralIPS [arxiv]
• 🇨🇿 A. Sulc, P. Connor ChatQCD: Let Large Language Models Explore QCD , 42nd International Conference on High Energy Physics ⚡ [poster] [github] [paper]
• 🇨🇿 P. Connor, A. Sulc Revealing Connections in QCD with Machine Learning , 42nd International Conference on High Energy Physics ⚡ [poster] [paper]
• 🇺🇸 A. Sulc, A. Eichler, T. Wilksen Unsupervised Log Anomaly Detection with Few Unique Tokens under review [arxiv] [slides] [git]
• 🇺🇸 A. Sulc, A. Eichler, T. Wilksen Automated Anomaly Detection on European XFEL Klystrons at International Conference in Particle Accelerators 2024, Nashville, USA [pdf] [poster] [arxiv] [git]
• 🇺🇸 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 Towards Unlocking Insights from Logbooks Using AI at International Conference in Particle Accelerators 2024, Nashville, USA [pdf] [poster] [arxiv] [git]
• 🇺🇸 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] [poster]
• 🇿🇦 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] [arxiv] [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

• 🇩🇪 Language Processing for Matter and Technology [pptx]
• 🇩🇪 Exploring the Strong Coupling Through Natural Language Processing at 1st Large Language Models in Physics Symposium (LIPS)
[slides]
• 🇩🇪 Illuminating the Dark: Discovering in Dark Matter Research through Natural Language Processing at 1st Large Language Models in Physics Symposium (LIPS)
[slides]
• 🇰🇷 Towards Unlocking Insights from Logbooks using AI at DESY and BESSY at 4th ICFA Beam Dynamics Mini-Workshop on Machine Learning for Particle Accelerators
• 🇨🇭 Unlocking Insights from Logbooks using AI at DESY and BESSY at 9th Low Emittance Rings Workshop 2024 [slides]
• 🇩🇪 DESY 6th Round Table[slides]
• 🇩🇪 Machine Learning at MCS/MSK [slides]
• 🇺🇸 Tutorial on Anomaly Detection at ICFA Beam Dynamics Workshop in Chicago, IL [git]
• 🇩🇪 Current Development of Automated Accelerator Controls at DESY 8th Matter and Technologies Annual Meeting at DESY [pdf]
• 🇩🇪 Machine Learning for Anomaly Detection at MLE-Summer School at TUHH [git] [pdf]
• 🇩🇪 Data-Driven Diagnosis at European XFEL at CDCS Opening Symposium (DESY.DE) [pdf]
• 🇮🇱PixelClub Technion [pdf] [videos]
• 🇩🇪 Multiobject Tracking Repetitive Patterns with Autoencoder [code] [slides] [zip - example - bottle] 🇩🇪
• 🇩🇪 Summer School in Quantitative Field Biology [code] [slides]
• 🇨🇿 The 11th Intelligent Machine Perception Seminar [html]
• 🇨🇿 The 38th Pattern Recognition and Computer Vision Colloquium [html]
• 🇨🇿 State-of-The-Art Computational Design and Fabrication[pdf]

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]