Antonin Sulc, Ph.D.
Senior Researcher · Intelligent Algorithms, Neuro-Symbolic AI, Computer Vision
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Senior Researcher · Intelligent Algorithms, Neuro-Symbolic AI, Computer Vision
Download CVI am a Senior Researcher at Innovatrics, and I remain affiliated with Lawrence Berkeley National Laboratory (LBNL) as a Researcher.
Previously a Senior Data Scientist at the Helmholtz Association (DESY/XFEL), I pioneered the use of domain-specific language models in scientific contexts. Holding a Ph.D. in Computer Vision from the University of Konstanz, I actively apply the mathematical rigor of high-dimensional signal processing to extract actionable insights from complex, multi-modal data.
Read a short interview about my work and background: 3Q4 with Antonin Sulc (ATAP, LBNL).
A scikit-learn style Python library providing a geometric approach to learning composable, highly interpretable representations of discrete event sequences.
A framework introducing Differentiable Modal Logic for PyTorch—enabling the training of Modal Logical Neural Networks (MLNNs).
A lightweight framework for solving PDEs in one shot via Fourier features with exact analytical derivatives. It bypasses automatic differentiation and iterative training loops for linear and nonlinear problems.
Automated data collection and fine-tuning pipelines designed to adapt Large Language Models securely to the complex domains of particle accelerators.
arXiv preprint, 2026
Oral talk 🎤 at 3rd International Conference on Neuro-Symbolic Systems (NeuS 2026), University of Southern California
arXiv preprint, 2026
Presented at 📐 ICLR 2026 Workshop on AI & PDE
arXiv preprint, 2026
arXiv preprint, 2026
Oral talk 🎤, presented at 🎉 20th International Conference on Neurosymbolic Learning and Reasoning (NeSy 2026), Lisbon
arXiv preprint, 2025
Physical Review Research, 2026
APL Machine Learning, 2026
NeurReps 2025 PMLR Proceedings (to appear)
NeurIPS ML4Physics Workshop, 2025
16th International Particle Accelerator Conference (IPAC'25)
42nd International Conference on High Energy Physics (ICHEP 2024)
15th International Particle Accelerator Conference (IPAC'24)
NeurIPS ML4Physics Workshop, 2023
Journal of Physics: Conference Series, 2023
Oral 🚀 at BMVC 2021
BMVC 2021 / arXiv preprint, 2023
IEEE International Conference on Image Processing (ICIP), 2019
Journal of the Optical Society of America A, 2021
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
