Scholar
Thomas Pethick
Google Scholar ID: l99LRFkAAAAJ
PhD, EPFL
Citations & Impact
Citations
241
H-index
7
i10-index
7
Publications
20
Co-authors
8
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Published multiple papers including 'Training Deep Learning Models with Norm-Constrained LMOs' (ICML 2025), 'Efficient Interpolation between Extragradient and Proximal Methods for Weak MVIs' (ICLR 2025), etc.
Research Experience
- Interned with Amazon and ETH Zürich during studies.
Education
- Ongoing PhD: EPFL, Advisor: Prof. Volkan Cevher; Research Focus: Optimization for Machine Learning.
Background
- Currently finishing my PhD at EPFL in the LIONS lab with Prof. Volkan Cevher, where I've broadly been interested in optimization for machine learning with a focus on stable training of deep learning models.
Miscellany
- Contributed to various open-source projects such as Scalable Gaussian Processes for Economic Models, Ensembled Deep Network for Global Optimization, Prolog code generation from Isabelle’s inner syntax, etc.
