Gulcin Baykal
Scholar

Gulcin Baykal

Google Scholar ID: tcmSfdwAAAAJ
University of Southern Denmark
Representation LearningReinforcement Learning
Citations & Impact
All-time
Citations
67
 
H-index
6
 
i10-index
2
 
Publications
10
 
Co-authors
1
list available
Resume (English only)
Academic Achievements
  • - Successfully defended Ph.D. thesis titled 'Codebook Learning: Challenges and Applications in Image Representation Learning' in December 2024
  • - Published 'EdVAE: Mitigating Codebook Collapse with Evidential Discrete Variational Autoencoders' in Pattern Recognition Journal in July 2024
  • - Attended Machine Learning Summer School 2024 and presented 'Evidential Discrete Variational Autoencoders' as a poster in March 2024
  • - Published 'ProtoDiffusion: Classifier-Free Diffusion Guidance with Prototype Learning' in ACML 2023 in September 2023
  • - Attended Mediterranean Machine Learning Summer School 2023 and presented 'Evidential Discrete Variational Autoencoders' as a poster in August 2023
  • - Published 'Textile Pattern Generation Using Diffusion Models' in ITFC 2023 in February 2023
  • - Published 'UGQE: Uncertainty Guided Query Expansion' in ICPRAI 2022 in June 2022
  • - Published 'Exploring DeshuffleGANs in Self-Supervised Generative Adversarial Networks' in Pattern Recognition Journal in August 2021
Research Experience
  • - 2020-2024: Pursued Ph.D. at ITU, focusing on discrete representation learning for images
  • - 2024 Jan - 2025 Jan: Guest PhD Researcher at ADIN Lab, SDU
  • - 2025 Jan - Present: Postdoctoral Researcher at SDU
Education
  • - B.Sc. in Computer Engineering from Istanbul Technical University (ITU) in 2018, graduated second in class
  • - M.Sc. in Computer Engineering from ITU in 2020, worked as a Research and Teaching Assistant
  • - Ph.D. in Computer Engineering from ITU in 2024, became the first Google DeepMind scholar at the university
  • - Received TUBITAK 2214-A International Research Fellowship Program for PhD Students grant in 2023, supporting a one-year visiting position at SDU
Background
  • Research interests include Machine Learning, Computer Vision, and Reinforcement Learning, with a particular focus on the visual continuous control problem. Currently, a Postdoctoral Researcher at the Department of Mathematics and Computer Science at the University of Southern Denmark (SDU) and a member of ADIN Lab.
Miscellany
  • Passionate about anime, manga, board games, and pilates. Anime and manga captivate me with their intricate storylines and compelling characters, and I enjoy exploring diverse genres within the medium. Playing board games allows me to engage in strategic thinking and friendly competition, while pilates helps me maintain both physical and mental well-being. These interests enrich my life and provide a refreshing balance to my academic pursuits.