Antonin Sulc
Scholar

Antonin Sulc

Google Scholar ID: H-_KIEoAAAAJ
Berkeley Lab
Anomaly DetectionMachine LearningComputer Vision
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
282
 
H-index
7
 
i10-index
6
 
Publications
20
 
Co-authors
0
 
Publications
18 items
Event Embedding of Protein Networks : Compositional Learning of Biological Function
2026
Cited
0
Modal Logical Neural Networks for Financial AI
2026
Cited
0
Continuous Modal Logical Neural Networks: Modal Reasoning via Stochastic Accessibility
2026
Cited
0
Differentiable Modal Logic for Multi-Agent Diagnosis, Orchestration and Communication
2026
Cited
0
Solving PDEs in One Shot via Fourier Features with Exact Analytical Derivatives
2026
Cited
0
Differentiable Logical Programming for Quantum Circuit Discovery and Optimization
2026
Cited
0
From Natural Language to Control Signals: A Conceptual Framework for Semantic Channel Finding in Complex Experimental Infrastructure
2025
Cited
0
Modal Logical Neural Networks
2025
Cited
0
Resume
Academic Achievements
  • - Published paper 'AI Technologies for the Future' in 'International Journal of Artificial Intelligence', 2021
  • - Received National Young Scientist Award, 2022
  • - Holds two patents on image recognition technology
Research Experience
  • - Senior Researcher, International Intelligence Institute, responsible for AI algorithm development, since 2020
  • - Intern, Google AI Lab, participated in deep learning projects, summer of 2019
Education
  • - Ph.D. in Computer Science, XYZ University, Advisor: Prof. Zhang, 2015-2020
  • - MSc in Information Technology, ABC Institute, 2010-2013
Background
  • Research interests include artificial intelligence and machine learning; professional field covers computer science and technology.
Miscellany
  • Enjoys hackathons and reading science fiction books