[Paper] EACL2023 Opportunities and Challenges in Neural Dialog Tutoring
Jakub Macina*, Nico Daheim*, Lingzhi Wang, Tanmay Sinha, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan. In Proceedings of the 17th Conference of the European C...
Posts by Category
Research
[Paper] 2nd Math-AI Workshop at NeurIPS22: Automatic Generation of Socratic Questions for Learning to Solve Math Word Problems
Jakub Macina*, Kumar Shridhar*, Mennatallah El-Assady, Tanmay Sinha, Manu Kapur, and Mrinmaya Sachan.
[Paper] EMNLP22 Automatic Generation of Socratic Subquestions for Teaching Math Word Problems
Jakub Macina*, Kumar Shridhar*, Mennatallah El-Assady, Tanmay Sinha, Manu Kapur, and Mrinmaya Sachan. In Proceedings of the 2022 Conference on Empirical Meth...
[New position] Doctoral Fellow at ETH AI Center
I’m starting my Doctoral Fellowship at the ETH AI Center working on the intersection of Natural Language Processing (NLP) and Learning Sciences. As ETH’s cen...
[Attending] NeurIPS 2020
I attended NeurIPS 2020 research conference which was held virtually.
[Attending] RecSys 2020
I attended RecSys 2020 research conference which was held virtually.
[Attending] RecSys 2019
I attended RecSys 2019 research conference in Copenhagen, Denmark.
[Attending] RecSys 2018
I attended RecSys 2018 research conference in Vancouver, Canada.
[Member] AI Lab
Member of the newly created AI (ExReIt) lab in Slovak University Technology in collaboration with Exponea:
[New position] Teaching Assistant @ Slovak University of Technology
Started new position as a Teaching Assistant at Slovak University of Technology:
[Attending] KDD 2018
I attended KDD 2018 research conference in London, Great Britain.
[Attending] 2nd International Summer School on Deep Learning 2018
I attended 2nd International Summer School on Deep Learning 2018 in Genova, Italy.
[Research] Paper accepted at RecSys 2017
I attended the 11th ACM Recommender Systems conference (RecSys 2017) which is leading international conference focused on research in recommender systems.
Talk
[Talk] Vienna Deep Learning Meetup
Talk: Deep Learning for Recommender Systems by Jakub Mačina, Machine Learning Engineer, Exponea
[Talk] PyCon SK 2018
My talk at PyCon SK 2018 about Real-time personalized recommendations using embeddings.
[Talk] Google Summer of Code meetup @ Google Zurich
I presented at Google Summer of Code meetup at Google Zurich.
[Talk] Data Science Club
My presentation Introduction to natural language processing.
Work
Forbes cover - Exponea
The article mentions that in just two years our company has gone from merely 6 to 113 employees, and still quickly growing, as well as now being on four cont...
[Co-founder] Data Science Club
Participated in co-creation of Data Science Club, a platform that supports transfer of ideas between academic and industry research related to data science, ...
[Internship] Google Summer of Code 2017 with Discourse
Google Summer of Code is a global student program focused on involving and spreading the word about open source software development. I spent great summer fu...
[Internship] Software Engineer @ Paul Scherrer Institute
My internship at Paul Scherrer Institute.
Books
[Review] Real World Machine Learning
The book is divided into two parts. First part deals with machine learning workflow and the second part consists of five practical examples. The book is focu...
[Book review] Make it stick
This book is about successful learning. I found it online as a recommended learning for a MOOC course about learning. Authors of the book are cognitive scien...
Awards
[Award] Forbes 30 under 30: Science & Education
Selected for the Forbes 30 Under 30 list in the category Science & Education.
[Award] 2nd place ACM IT SPY
Awarded 2nd place among all computer science Master theses in Czechia and Slovakia.
Travel
[Travel] Switzerland 2016
This text summarizes my travel in Switzerland during summer 2016.
Events
[Attending] HackPrague 2017
I participated in hackaton HackPrague 2017 in Prague.