Batuhan Koyuncu
Batuhan Koyuncu

ELLIS PhD Student

Saarland University

About Me

I am currently a Ph.D. candidate in Computer Science at Saarland University, affiliated with the ELLIS Ph.D. program and co-advised by Prof. Isabel Valera and Prof. Ole Winther. My research lies at the intersection of deep generative modeling and probabilistic methods for spatial and time-series data. Recently, my work has focused on developing interpretable and scalable architectures for nowcasting and forecasting, with applications in macroeconomics and personalized healthcare.

Email: batukoyuncu [at] gmail.com

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Education

  • MSc Computer Science

    Boğaziçi University

  • BSc Physics

    Boğaziçi University

Recent Publications
Batuhan Koyuncu, Rachael DeVries, Ole Winter, Isabel Valera (2025). Temporal Variational Implicit Neural Representations. Under review..
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Ignacio Peis, Batuhan Koyuncu, Isabel Valera, Jes Frellsen (2025). Hyper-Transforming Latent Diffusion Models. In ICML'25.
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Batuhan Koyuncu, Tim Nico Bauerschmidt, Isabel Valera (2024). E-ProTran: Efficient Probabilistic Transformers for Forecasting. In Workshop on Structured Probabilistic Inference & Generative Modeling. ICML'24.
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Batuhan Koyuncu, Aleyna Dilan Kıran, Katja Heilmann, Laith Hamid, Anja Buder, Veronika Engert, Martin Walter, Isabel Valera (2024). From Laboratory to Everyday Life: Personalized Stress Prediction via Smartwatches. In Machine Learning for Life and Material Science, ML4LMS Workshop. ICML'24.
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Batuhan Koyuncu, Pablo Sanchez-Martin, Ignacio Peis, Pablo M. Olmos, Isabel Valera (2023). Variational Mixture of HyperGenerators for Learning Distributions Over Functions. In ICML.
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