News
- Sep 2026 New preprint: Attention versus State-Space Models for In-Context Learning.
- Sep 2026 Two new papers accepted: NeurIPS 2026 and IEEE JSTSP!
- May 2026 Presenting a poster at AIMACCS 2026 (June 1–2) — come say hi!
- Jan 2026 New paper accepted to AISTATS 2026!
About
I'm a PhD student advised by Prof. Atilla Eryilmaz. I completed my master's degree under the supervision of Prof. Aylin Yener. My research currently lies in machine learning theory and optimization.
Publications and Patents
- Learning Theory and Optimization
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A Comparative Analysis of Attention versus State-Space Models for In-Context Learning
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Sharp Convergence and Sample Complexity of Policy Mirror Descent for Average-Reward MDPs
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Finite-Time Analysis of Gradient Descent for Shallow Transformers
- Rate Distortion Perception
- Fundamental Limits for Text Summarization: A Rate-Distortion-Perception Approach
- Rate-Distortion-Perception Trade-off in Summarization
- A Rate-Distortion Framework for Summarization
- Semantic Communication
- Semantic Relaying for Next Generation Networks: Harnessing Advances on Large Language Models
- Cooperative Network for Semantic Communication
- Semantic Relaying of Sentences
- Semantic Forwarding for Next Generation Relay Networks