S. Caron

Radboud University Nijmegen — Netherlands

Physics and Astronomy · Physical Sciences

120h-index72.9kcitations1.1kworks4.02yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Particle physics theoretical and experimental studies(1015), High-Energy Particle Collisions Research(791), Particle Detector Development and Performance(452), Quantum Chromodynamics and Particle Interactions(358), Dark Matter and Cosmic Phenomena(145)

Publications115 total

BGRem: A background noise remover for astronomical images based on a diffusion model
arXiv (Cornell University)·2025Open Access
TrackFormers Part 2: Enhanced Transformer-Based Models for High-Energy Physics Track Reconstruction
arXiv (Cornell University)·2025Open Access
Trackformers: in search of transformer-based particle tracking for the high-luminosity LHC era
The European Physical Journal C·2025Open Access
Efficient Tracking Algorithm Evaluations through Multi-Level Reduced Simulations
EPJ Web of Conferences·2025Open Access
Efficient ML-Assisted Particle Track Reconstruction Designs
EPJ Web of Conferences·2025Open Access
TrackFormers: In Search of Transformer-Based Particle Tracking for the High-Luminosity LHC Era
arXiv (Cornell University)·2024· 1 citedOpen Access
Universal Anomaly Detection at the LHC: Transforming Optimal Classifiers and the DDD Method
arXiv (Cornell University)·2024· 1 citedOpen Access
CTD2023: Novel Approaches for ML-Assisted Particle Track Reconstruction and Hit Clustering
arXiv (Cornell University)·2024Open Access
Towards a Benchmark for Scientific Understanding in Humans and Machines
Minds and Machines·2024· 13 citedOpen Access
Reduced Simulations for High-Energy Physics, a Middle Ground for Data-Driven Physics Research
Lecture notes in computer science·2024· 2 citedOpen Access
AutoSourceID-Classifier
Astronomy and Astrophysics·2023· 12 citedOpen Access
New energy spectra in neutrino and photon detectors to reveal hidden dark matter signals
Journal of High Energy Physics·2023Open Access
AutoSourceID-FeatureExtractor
Astronomy and Astrophysics·2023· 5 citedOpen Access
Reduced Simulations for High-Energy Physics, a Middle Ground for Data-Driven Physics Research
arXiv (Cornell University)·2023Open Access
Investigating the VHE Gamma-ray Sources Using Deep Neural Networks
2023Open Access
Mind the gap: the discrepancy between simulation and reality drives interpretations of the Galactic Center Excess
Journal of Cosmology and Astroparticle Physics·2023· 10 citedOpen Access
Machine learning and LHC event generation
SciPost Physics·2023· 99 citedOpen Access
Towards a Benchmark for Scientific Understanding in Humans and Machines
arXiv (Cornell University)·2023· 1 citedOpen Access
Mixture-of-Theories training: can we find new physics and anomalies better by mixing physical theories?
Journal of High Energy Physics·2023· 9 citedOpen Access
Benchmarking energy consumption and latency for neuromorphic computing in condensed matter and particle physics
APL Machine Learning·2023· 12 citedOpen Access
page 1 of 6Next →

Frequent Co-authors

Roberto Ruiz de Austri(28), Luc Hendriks(21), Melissa van Beekveld(17), Rob Verheyen(10), Sydney Otten(10), Bob Stienen(8), Adam Leinweber(6), M. J. White(5), Wieske de Swart(5), Caspar M. van Leeuwen(5), Damian Podareanu(5), W. Beenakker(5), L. Heinrich(4), J. Mamuzic(4), Zhongyi Zhang(4), M. Erdmann(4), G. Jóhannesson(4), A. Achterberg(4), G. Zaharijaš(4), Adil Jueid(3)