Derya Cansever Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
faculty
Research Areas
Biography and Research Information
OverviewAI-generated summary
Derya Cansever's research focuses on advancing machine learning techniques, particularly in the areas of self-supervised learning and reinforcement learning. Recent work includes developing novel approaches for smarter and less complex learning, such as the "Koopcon" framework. Cansever also investigates methods for refining self-supervised learning in imaging beyond linear metrics and explores implicit Bayes adaptation through collaborative transport. Additional research interests include learning high-dimensional dynamical systems with limited sensing and generative expansion of small datasets using graph-based approaches. Their scholarship metrics include an h-index of 11, with 64 total publications and 565 citations. Key collaborators include Na Li and Yuyang Zhang from Harding University Main Campus.
Metrics
- h-index: 11
- Publications: 64
- Citations: 568
Selected Publications
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Learning High-dimensional Dynamical Systems with Limited Sensing (2025)
Collaboration Network
Top Collaborators
- Koopcon: A new approach towards smarter and less complex learning
- Refining Self-Supervised Learning in Imaging: Beyond Linear Metric
- Implicit Bayes Adaptation: A Collaborative Transport Approach
- Koopcon: A new approach towards smarter and less complex learning
- Implicit Bayes Adaptation: A Collaborative Transport Approach
Showing 5 of 10 shared publications
- Koopcon: A new approach towards smarter and less complex learning
- Refining Self-Supervised Learning in Imaging: Beyond Linear Metric
- Implicit Bayes Adaptation: A Collaborative Transport Approach
- Implicit Bayes Adaptation: A Collaborative Transport Approach
- Generative Expansion of Small Datasets: An Expansive Graph Approach
Showing 5 of 7 shared publications
- Refining Self-Supervised Learning in Imaging: Beyond Linear Metric
- Implicit Bayes Adaptation: A Collaborative Transport Approach
- Implicit Bayes Adaptation: A Collaborative Transport Approach
- Refining Self-Supervised Learning in Imaging: Beyond Linear Metric
- Implicit-Class Driven Optimal Transport for Domain Adaptation
- Koopcon: A new approach towards smarter and less complex learning
- Koopcon: A new approach towards smarter and less complex learning
- Generative Expansion of Small Datasets: An Expansive Graph Approach
- Generative Expansion of Small Datasets: An Expansive Graph Approach
- ViTCAE: ViT-based Class-conditioned Autoencoder
- Koopcon: A new approach towards smarter and less complex learning
- Generative Expansion of Small Datasets: An Expansive Graph Approach
- Learning High-dimensional Dynamical Systems with Limited Sensing
- Learning High-dimensional Dynamical Systems with Limited Sensing
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