Derya Cansever Source Confirmed

OverviewAI-generated summary

Derya Cansever's research focuses on advancements in machine learning, particularly in areas such as self-supervised learning and generative models. Recent work includes investigations into novel approaches for smarter and less complex learning, such as the "Koopcon" framework. Cansever has also explored implicit Bayes adaptation through a collaborative transport approach and developed generative expansion methods for small datasets using expansive graph techniques. Another area of study involves ViT-based class-conditioned autoencoders (ViTCAE). Cansever has authored 64 publications, accumulating 560 citations and an h-index of 11. Collaborations include work with Na Li at Harding University Main Campus on shared publications. The researcher's most recent publication is from 2025, indicating ongoing activity.

Metrics

• h-index: 11
• Publications: 64
• Citations: 560