Scholar
Yeskendir Koishekenov
Google Scholar ID: hl-XpgUAAAAJ
University of Amsterdam
Citations & Impact
Citations
135
H-index
4
i10-index
2
Publications
7
Co-authors
7
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers in venues such as ECCV, AAAI, ICLR, ICCV, and ReScience. For example, 'Geometric Contrastive Learning' was accepted for oral presentation at the 4th Visual Inductive Priors for Data-Efficient Deep Learning Workshop at ICCV 2023; 'Memory-efficient NLLB-200: Language-specific Expert Pruning of a Massively Multilingual Machine Translation Model' was accepted to ACL 2023; 'Reducing Over-smoothing in Graph Neural Networks using Relational Embeddings' was accepted to the AAAI 2023 Workshop on Deep Learning on Graphs: Methods and Applications (DLG-AAAI 2023).
Research Experience
- Worked as a Teaching Assistant for the 'Information Retrieval 1' course for master’s students at the University of Amsterdam (February 6, 2023 - April 30, 2023). Attended ICLR 2023 in Kigali, Rwanda, to present the paper 'An Exploration of Conditioning Methods in Graph Neural Networks'.
Education
- Master's degree in Artificial Intelligence from the University of Amsterdam, graduated on August 31, 2023, with the distinction of cum laude.
Background
- Recently graduated from the master’s program in AI at the University of Amsterdam. Has ~3 years of industry machine learning experience, with broad research interests including Natural Language Processing, Geometric Deep Learning, Graph Neural Networks, etc.
Miscellany
- Looking for full-time opportunities starting in Fall 2023.
