Search for top squark pair production in compressed-mass-spectrum scenarios in proton–proton collisions at 8 TeV using the αT variable
Published in Physics Letters B, 2017
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Posts by Collection
heppublications
A search for new phenomena in pp collisions at 13 TeV in final states with missing transverse momentum and at least one jet using the αT variable
Published in The European Physical Journal C, 2017
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Search for natural and split supersymmetry in proton-proton collisions at 13 TeV in final states with jets and missing transverse momentum
Published in Journal of High Energy Physics, 2018
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Measurements of properties of the Higgs boson in the four-lepton final state in proton-proton collisions at 13 TeV
Published in CERN CDS, 2019
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Measurement of the top quark Yukawa coupling from tt kinematic distributions in the lepton+jets final state in proton-proton collisions at 13 TeV
Published in Physics Review D, 2019
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Search for an Lμ − Lτ gauge boson using Z → 4μ events in proton-proton collisions at 13 TeV
Published in Physics Letters B, 2019
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Search for a low-mass dilepton resonance in Higgs boson decays to four-lepton final states at 13 TeV
Published in CERN CDS, 2020
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Search for physics beyond the standard model in events with jets and two same-sign or at least three charged leptons in proton-proton collisions at 13 TeV
Published in The European Physical Journal C, 2020
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mlpublications
Embedding and generation of indoor climbing routes with variational autoencoder
Published in arxiv, 2020
This paper presents a variational autoencoder to generate indoor climbing routes in the Moonboard setup.
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Applications and Techniques for Fast Machine Learning in Science
Published in Frontiers in Big Data, 2020
In this community review report, we discuss applications and techniques for fast machine learning (ML) in science – the concept of integrating power ML methods into the real-time experimental data processing loop to accelerate scientific discovery. The material for the report builds on two workshops held by the Fast ML for Science community and covers three main areas: applications for fast ML across a number of scientific domains; techniques for training and implementing performant and resource-efficient ML algorithms; and computing architectures, platforms, and technologies for deploying these algorithms. We also present overlapping challenges across the multiple scientific domains where common solutions can be found. This community report is intended to give plenty of examples and inspiration for scientific discovery through integrated and accelerated ML solutions. This is followed by a high-level overview and organization of technical advances, including an abundance of pointers to source material, which can enable these breakthroughs.
portfolio
Kaggle: Coleridge Initiative - Show US the Data
Keyword extraction with token classification by state-of-the-art transformers. Top 6% (solo Bronze medal).
ScholarWrite
Web application to help scholars write scientific articles. This web application can recommend related scientific articles in based on writing content.
talks
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.