General Information
I am part of a group of students from Charles University that includes
Todor Antic,
Ben Bencik,
Guillermo Gamboa,
Jelena Glisic,
Robert Jaworski,
Sofiia Kotsiubynska,
Julia Krizanova,
Volodymyr Kuznietsov,
Tymofii Reizin,
Jakub Sosovicka,
Filip Uradnik,
and
Patrik Zavoral.
Project Description
TODO
Research Log
Week 1
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This week I was mainly familiarizing myself with the project I will be working on for the next two months.
I attended several introductory seminars, including a session on website creation and an orientation talk, which provided valuable insights into the internship program.
Upon arrival, I met with my mentor, who gave me an introductory explanation of the project and provided essential papers to dive deeper into the topic.
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Throughout the week, I took the opportunity to get to know my colleagues, Filip, Rhett, and Amanda, as well as other team members working on different projects.
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Towards the end of the week, I began collaborating with my group on an introductory presentation about our project. Overall, it was a productive and engaging start to the internship.
Week 2
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During the second week I continued reading the papers provided by my mentor and started working on the project. I also attended a workshop on Modelling randomenss in neural networks, which was very interesting and provided me with new insights in the area of machine learning.
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While reading the papers, I made a few observations about possible relation of our problem and the field of statistical physics that I plan to focus on during the following days.
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We also had a group meeting where we discussed the progress of our projects and shared our ideas. We started working on the question of complexity of truth learning in a social and adversarial setting.
Week 3
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This week I attented the 5 day long workshop called "Current Trends in Mathematics: Beyond the Freshmen Horizons".
Week 4
Week 5
Week 6
Week 7
Week 8
Resources
Acknowledgements
This work was carried out while the author Júlia Križanová was a participant in the 2024 DIMACS REU program, supported by CoSP, a project funded by European Union’s Horizon 2020 research and innovation programme, grant agreement No. 823748.