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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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About me
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I received a sponsor from Nvidia and was invited to participate in a workshop “Fundamentals of Accelerated Computing with CUDA C/C++” in the GPU Technology Conference. CUDA is a parallel computing platform and application programming interface model created by Nvidia. The workshop was very well-organised and I want to thank Nvidia for this generous offer. In the workshop, we covered the following three areas:
Published in Physics Letters B, 2017
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Published in The European Physical Journal C, 2017
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Published in Journal of High Energy Physics, 2018
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Published in CERN CDS, 2019
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Published in Physics Review D, 2019
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Published in Physics Letters B, 2019
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Published in CERN CDS, 2020
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Published in The European Physical Journal C, 2020
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Published in arxiv, 2020
This paper presents a variational autoencoder to generate indoor climbing routes in the Moonboard setup.
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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.
Keyword extraction with token classification by state-of-the-art transformers. Top 6% (solo Bronze medal).
Web application to help scholars write scientific articles. This web application can recommend related scientific articles in based on writing content.
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.