Vishal S. Ngairangbam
Publications by Year
Research Areas
Particle physics theoretical and experimental studies, High-Energy Particle Collisions Research, Particle Detector Development and Performance, Computational Physics and Python Applications, Scientific Computing and Data Management
Most-Cited Works
- → Anomaly detection in high-energy physics using a quantum autoencoder(2022)104 cited
- → Energy-weighted message passing: an infra-red and collinear safe graph neural network algorithm(2022)36 cited
- → Anomaly detection with convolutional Graph Neural Networks(2021)18 cited
- → Equivariant, safe and sensitive — graph networks for new physics(2024)9 cited
- → Hypergraphs in LHC phenomenology — the next frontier of IRC-safe feature extraction(2024)8 cited
- → Optimal equivariant architectures from the symmetries of matrix-element likelihoods(2025)6 cited
- → Interpretable deep learning models for the inference and classification of LHC data(2024)6 cited
- → Influence of QCD parton showers in deep learning invisible Higgs bosons through vector boson fusion(2022)4 cited
- → LLPNet: Graph Autoencoder for Triggering Light Long-Lived Particles at HL-LHC(2023)4 cited