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Combine and conquer: event reconstruction with Bayesian Ensemble Neural Networks (2021)
Journal Article
Araz, J. Y., & Spannowsky, M. (2021). Combine and conquer: event reconstruction with Bayesian Ensemble Neural Networks. Journal of High Energy Physics, 2021(4), Article 296. https://doi.org/10.1007/jhep04%282021%29296

Ensemble learning is a technique where multiple component learners are combined through a protocol. We propose an Ensemble Neural Network (ENN) that uses the combined latent-feature space of multiple neural network classifiers to improve the represen... Read More about Combine and conquer: event reconstruction with Bayesian Ensemble Neural Networks.

Precision SMEFT bounds from the VBF Higgs at high transverse momentum (2021)
Journal Article
Araz, J. Y., Banerjee, S., Gupta, R. S., & Spannowsky, M. (2021). Precision SMEFT bounds from the VBF Higgs at high transverse momentum. Journal of High Energy Physics, 2021(4), Article 125. https://doi.org/10.1007/jhep04%282021%29125

We study the production of Higgs bosons at high transverse momenta via vector-boson fusion (VBF) in the Standard Model Effective Field Theory (SMEFT). We find that contributions from four independent operator combinations dominate in this limit. Thes... Read More about Precision SMEFT bounds from the VBF Higgs at high transverse momentum.