Scholar
Tomer Galanti
Google Scholar ID: ut_ISVIAAAAJ
AI Researcher
Citations & Impact
Citations
929
H-index
17
i10-index
22
Publications
20
Co-authors
12
list available
Publications
Resume (English only)
Academic Achievements
- - Published multiple papers in top conferences and journals (specific list not provided)
- - Key contributions: Improving multi-step reasoning in LLMs, Understanding representations learned by neural networks and their support for strong generalization, Applying modern optimization techniques to contract design problems
Research Experience
- - Professor at the Department of Computer Science & Engineering, Texas A&M University
- - Leads the Deep Learning Fundamentals Lab
- - Research areas include: Theory of LLM reasoning, Deep representation learning, Differentiable contract design
Background
- A professor at the Department of Computer Science & Engineering, Texas A&M University, leading the Deep Learning Fundamentals Lab. The lab connects rigorous theory with practical algorithms to understand and improve modern deep learning and large language models.
Miscellany
- Contact: galanti@tamu.edu | GitHub: DLFundamentals | Google Scholar: Profile
