Publications
A live list, synced from [OpenAlex](https://openalex.org/A5011421008). For an ORCID-side view: [orcid.org/0000-0003-4046-4822](https://orcid.org/0000-0003-4046-4822).
36works
369citations
8h-index
7i10-index
2024
- Learning to Reconstruct Quirky Tracks
- A Language Model for Particle Tracking
- Physics Performance of the ATLAS GNN4ITk Track Reconstruction Chain
- Influencer Loss: End-to-end Geometric Representation Learning for Track Reconstruction
2023
- Equivariance Is Not All You Need: Characterizing the Utility of Equivariant Graph Neural Networks for Particle Physics Tasks
- Graph Neural Networks for Radiological/Nuclear Detection with Static Detector Networks
- Deep Learning for Tritium Detection Using Scientific CCDs
- Graph Structure from Point Clouds: Geometric Attention is All You Need
- Heterogeneous Graph Neural Network for identifying hadronically decayed tau leptons at the High Luminosity LHC
- CTD2022: ATLAS ITk Track Reconstruction with a GNN-based Pipeline
- CTD2022: ATLAS ITk Track Reconstruction with a GNN-based Pipeline
- CTD2022: ATLAS ITk Track Reconstruction with a GNN-based Pipeline
- Equivariant Graph Neural Networks for Charged Particle Tracking
- Hierarchical Graph Neural Networks for Particle Track Reconstruction
- Semi-Equivariant GNN Architectures for Jet Tagging
- Graph Neural Network for Object Reconstruction in Liquid Argon Time Projection Chambers
- Reconstruction of Large Radius Tracks with the Exa.TrkX pipeline
- Heterogeneous Graph Neural Network for Identifying Hadronically Decayed Tau Leptons at the High Luminosity LHC
2022
- Applying and optimizing the Exa.TrkX Pipeline on the OpenDataDetector with ACTS
- Benchmarking GPU and TPU Performance with Graph Neural Networks
- Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challenges
- Symmetry Group Equivariant Architectures for Physics
- Semi-Equivariant GNN Architectures for Jet Tagging
2021
- Performance of a geometric deep learning pipeline for HL-LHC particle tracking
- Convergent Bayesian global fits of 4D composite Higgs models
- Performance of a Geometric Deep Learning Pipeline for HL-LHC Particle\n Tracking
- Physics and Computing Performance of the Exa.TrkX TrackML Pipeline.
- Graph Neural Network for Object Reconstruction in Liquid Argon Time Projection Chambers
2020
- Track Seeding and Labelling with Embedded-space Graph Neural Networks
- Graph Neural Networks for Particle Reconstruction in High Energy Physics detectors
- Minimal 4D Composite Higgs Models Under Current LHC Constraints
2019
- The Landscape of Composite Higgs Models
2017
- ColliderBit: a GAMBIT module for the calculation of high-energy collider observables and likelihoods