Scholar
Tolga Ergen
Google Scholar ID: T1pWaCsAAAAJ
Research Scientist, LG AI Research
Citations & Impact
Citations
1,515
H-index
19
i10-index
25
Publications
20
Co-authors
21
list available
Publications
Resume (English only)
Academic Achievements
- Publications: Multiple papers accepted by IEEE Transactions on Information Theory, NAACL 2025, ICLR 2024, NeurIPS 2023, ICLR 2023, ICML 2022, ICLR 2022, etc. Awards: 2022 Adobe Research Fellowship, NeurIPS 2021 Outstanding Reviewer Award, ICASSP 2021 Outstanding Paper Award, Best Poster Award at DeepMath 2020.
Research Experience
- Currently a Research Scientist at LG AI Research. Previously worked as a research intern at Google Research with Behnam Neyshabur and Harsh Mehta, and at Salesforce Research with Yu Bai.
Education
- Ph.D. in Electrical Engineering from Stanford University, 2018-2023, under the supervision of Prof. Mert Pilanci; M.S. in Electrical and Electronics Engineering from Bilkent University, 2018; B.S. in Electrical and Electronics Engineering from Bilkent University, 2016, under the supervision of Prof. Suleyman Serdar Kozat.
Background
- Research Interests: Intersection of optimization and deep learning, dedicated to advancing efficient and scalable optimization techniques, with a current focus on enhancing the efficiency, robustness, and understanding of Large Language Models (LLMs). Additionally, exploring innovative data generation methods and the development of intelligent agents to further extend the capabilities of deep learning systems.
