Berker Demirel

Curriculum vitae

A summary is below; the PDF has the complete version.

PDF last updated September 2026.

Research interests

I am interested in representation learning, mainly in what information neural network representations contain and how easily it can be read out. My work also covers self-supervised learning, generalization under distribution shift and generative modeling.

Education

2023 – present

PhD Candidate in Computer Science

Institute of Science and Technology Austria (ISTA), Klosterneuburg, Austria

Representation learning, self-supervised learning, representation geometry, and generative modeling. Supervisor: Francesco Locatello.

2021 – 2023

MSc in Computer Science

Sabanci University, Istanbul, Turkey · GPA 3.91

Domain generalization and group activity recognition. Supervisor: Huseyin Ozkan.

2015 – 2021

BS Computer Science and Engineering, BA Economics (double major)

Sabanci University, Istanbul, Turkey · Mathematics minor · GPA 3.84

Selected publications

All publications →
  1. λ-JEPA: Spectral Anti-Collapse Regularization for Self-Supervised Learning. arXiv preprint, 2026.
  2. Assessing Sample Quality in Conditional Generation under Compositional Shift. NeurIPS 2026.
  3. MorphGen: Controllable and Morphologically Plausible Generative Cell-Imaging. NeurIPS 2026.
  4. Out-of-Distribution Detection with Relative Angles. NeurIPS 2025.
  5. DECOMPL: Decompositional Learning with Attention Pooling for Group Activity Recognition from a Single Volleyball Image. ICIP 2024.

Community & service

Reviewer

ICLR, NeurIPS, TMLR, UniReps, NeurReps, CauScien

Honors and awards