Featured Publications
Electroweak diboson production in association with a high-mass dijet system in semileptonic final states from $pp$ collisions at $\sqrt{s} = 13$ TeV with the ATLAS detector. featured image

Observation of vector boson scattering

This paper reports the observation of electroweak diboson ($WW/WZ/ZZ$) production in association with a high-mass dijet system, in which final states with one boson decaying …

Atlas Collaboration
Evidential deep learning for uncertainty quantification and out-of-distribution detection in jet identification using deep neural networks featured image

Evidential DL for Uncertainties and Anomaly Detection

Current methods commonly used for uncertainty quantification (UQ) in deep learning (DL) models utilize Bayesian methods which are computationally expensive and time-consuming. In …

avatar
Mark Neubauer
Smart pixel sensor filtering with deep learning featured image

Smart pixel sensor filtering with deep learning

Highly granular pixel detectors allow for increasingly precise measurements of charged particle tracks. Next-generation detectors require that pixel sizes will be further reduced, …

Jieun Yoo
A detailed study of interpretability of deep neural network based top taggers featured image

Explainability of Deep Neural Networks in top quark tagging

Recent developments in the methods of explainable AI (XAI) allow researchers to explore the inner workings of deep neural networks (DNNs), revealing crucial information about …

avatar
Mark Neubauer
Applications and Techniques for Fast Machine Learning in Science featured image

Fast Machine Learning for Science

In this community review report, we discuss applications and techniques for fast machine learning (ML) in science—the concept of integrating powerful ML methods into the real-time …

Allison Mccarn Deiana
Graph Neural Networks for Particle Tracking on FPGAs featured image

Graph Neural Networks for Particle Tracking on FPGAs

The determination of charged particle trajectories in collisions at the CERN Large Hadron Collider (LHC) is an important but challenging problem, especially in the high interaction …

Abdelrahman Elabd
Higgs Boson Discovery featured image

Higgs Boson Discovery

A search for the Standard Model Higgs boson in proton-proton collisions with the ATLAS detector at the LHC is presented. The datasets used correspond to integrated luminosities of …

Atlas Collaboration
Solution to the Solar Neutrino Problem featured image

Solution to the Solar Neutrino Problem

Solar neutrinos from the decay of $^8$B have been detected at the Sudbury Neutrino Observatory (SNO) via the charged current (CC) reaction on deuterium and by the elastic …

Sudbury Neurtrino Observatory Collaboration
Selected Publications
(2026). Robustness of the smartpixels classifier for different simulated sensor geometries and non-ideal detector conditions. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment.
(2025). Evidential deep learning for uncertainty quantification and out-of-distribution detection in jet identification using deep neural networks. Mach. Learn. Sci. Tech..
(2025). From Signals to Features to Insights: Multi-Level Novelty Detection for Fast Scientific Discovery. 2025 IEEE 43rd VLSI Test Symposium (VTS).
(2024). Smart pixel sensor filtering with deep learning. Mach. Learn. Sci. Tech..
(2024). Muon Collider Forum Report. Journal of Instrumentation.
(2023). A detailed study of interpretability of deep neural network based top taggers. Mach. Learn. Sci. Tech..
(2023). Computational Frontier Topical Group Report Storage and Processing Resource Access. Comput. Softw. Big Sci..
(2023). FAIR AI Models in High Energy Physics. Mach. Learn. Sci. Tech..
(2023). FAIR for AI: An interdisciplinary and international community building perspective. Scientific Data.
(2022). A FAIR and AI-ready Higgs boson decay dataset. Sci. Data.
(2022). Applications and Techniques for Fast Machine Learning in Science. Front. Big Data.
(2022). Graph Neural Networks for Particle Tracking on FPGAs. Front. Big Data.
(2022). Jets and Jet Substructure at Future Colliders. Front. in Phys..
(2022). Publishing statistical models: Getting the most out of particle physics experiments. SciPost Phys..
(2021). Charged Particle Tracking via Edge-Classifying Interaction Networks. Comput. Softw. Big Sci..
(2021). Performance of a geometric deep learning pipeline for HL-LHC particle tracking. Eur. Phys. J. C.
(2021). The ATLAS Fast TracKer system. JINST.
(2020). Accelerated Charged Particle Tracking with Graph Neural Networks on FPGAs. 34th Conference on Neural Information Processing Systems (NeurIPS) 2020.
(2020). Higgs boson potential at colliders: Status and perspectives. Rev. Phys..
(2019). A Roadmap for HEP Software and Computing R&D for the 2020s. Journal of Computing and Software for Big Science.
(2019). Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era.
(2019). Enabling Real-time Multi-messenger Astrophysics Discoveries with Deep Learning. Nature Rev. Phys..
(2019). Supporting High-Performance and High-Throughput Computing for Experimental Science. Comput. Softw. Big Sci..
(2018). Container solutions for HPC Systems: A Case Study of Using Shifter on Blue Waters. CoRR.
(2018). HEP Software Foundation Community White Paper Working Group - Data Analysis and Interpretation.
(2012). Higgs Boson Discovery. Phys. Lett..
(2012). Tests of the Standard Electroweak Model at the Energy Frontier. Rev. Mod. Phys..
(2011). Diboson production at colliders. Ann. Rev. Nucl. Part. Sci..
(2007). Observation of $WZ$ Production. Phys. Rev. Lett..
(2001). Solution to the Solar Neutrino Problem. Phys. Rev. Lett..