activity
20122026
most citedInterplay and Characterization of Dark Matter Searches at Colliders and in Direct Detection Experiments

79 citations · 147 across the 3 of their papers we have counts for

collaborators

5 papers

cs.LG2026

SOHET: Sequence Of Heterogeneous Events Transformer with Self-Supervised Pre-Training

Kees Jan de Vries, Mustafa Radha, Mathijs de Jong

Many machine learning applications rely on heterogeneous event streams to make predictions, either causally as events arrive or bidirectionally over complete sequences. We propose…

cs.LG2021

Machine Learning for Fraud Detection in E-Commerce: A Research Agenda

Niek Tax, Kees Jan de Vries, Mathijs de Jong +5

Fraud detection and prevention play an important part in ensuring the sustained operation of any e-commerce business. Machine learning (ML) often plays an important role in these a…

hep-ph2014

SUSY fits with full LHC Run I data

Kees Jan de Vries

We present the latest results from the MasterCode Collaboration on supersymmetric models, in particular on the CMSSM, the NUHM1, the NUHM2 and the pMSSM. We combine the data from L…

hep-ex2014★ 79 cited

Interplay and Characterization of Dark Matter Searches at Colliders and in Direct Detection Experiments

Sarah A. Malik, Christopher McCabe, Henrique Araujo +19

In this White Paper we present and discuss a concrete proposal for the consistent interpretation of Dark Matter searches at colliders and in direct detection experiments. Based on…

hep-ph2012★ 68 cited

The End of the CMSSM Coannihilation Strip is Nigh

M. Citron, J. Ellis, F. Luo +3

A recent global fit to the CMSSM incorporating current constraints on supersymmetry, including missing transverse energy searches at the LHC, BR(B_s to mu+ mu-) and the direct XENO…