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Antonin Sulc

Osprey: Production-ready agentic AI for safety-critical control systems
2026 · Thorsten Hellert, João Montenegro, et al. · APL Machine Learning · 2
Agentic AI for User Facilities: Workshop Report
2026 · Thorsten Hellert, David Abramov, et al. · Synchrotron Radiation News · 1
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From Natural Language to Control Signals: A Conceptual Framework for Semantic Channel Finding in Complex Experimental Infrastructure
2025 · Hellert, Thorsten, Agladze, Nikolay, et al. · arXiv (Cornell University) · 1
From natural language to control signals: a conceptual framework for semantic channel finding in complex experimental infrastructure
2026 · Thorsten Hellert, Nikolay Agladze, et al. · Machine Learning Science and Technology
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QCD in Language Models: What they really know about QCD?
2026 · Patrick Louis S Connor, Antonin Sulc · European Physical Society Conference on High Energy Physics (EPS-HEP)
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From Natural Language to Control Signals: A Conceptual Framework for Semantic Channel Finding in Complex Experimental Infrastructure
2025 · Hellert, Thorsten, Agladze, Nikolay, et al. · arXiv (Cornell University)
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Modal Logic Neural Networks
2025 · Sulc, Antonin, Naddour, Noor · arXiv (Cornell University)
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QCD in Language Models: What do they really know about QCD?
2025 · Sulc, Antonin, Connor, Patrick L. S. · arXiv (Cornell University)
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Event2Vec: A Geometric Approach to Learning Composable Representations of Event Sequences
2025 · Sulc, Antonin · arXiv (Cornell University)
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Revealing Connections in QCD with Machine Learning
2024 · Patrick L.S. Connor, Antonin Sulc · International Conference on High Energy Physics (ICHEP)
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ChatQCD: Let Large Language Models Explore QCD
2024 · Antonin Sulc, Patrick L.S. Connor · International Conference on High Energy Physics (ICHEP)
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Works count: 11
Citation count: 4
H-index: 1
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