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Tomer Galanti

Large Language Models Deep Learning Machine Learning

About

Tomer Galanti, Ph.D. is an Assistant Professor of Computer Science & Engineering at Texas A&M University. He earned his Ph.D. in Computer Science from Tel Aviv University, where he also completed his M.S. and B.S. He was a Postdoctoral Associate at MIT before joining Texas A&M. His research focuses on machine and deep learning, large language models, and artificial intelligence.

Research Performance Summary

39
Total Papers
1102
Total Citations
18
H-Index
2016-2025
Active Research Span

First Recorded Paper

A Theoretical Framework for Deep Transfer Learning

Year: 2016

Citations: 46

Venue: Information and Inference: A Journal of the IMA 5 (2)

Latest Recorded Paper

On the Alignment Between Supervised and Self-Supervised Contrastive Learning

Year: 2025

Citations: 0

Venue: arXiv preprint arXiv:2510.08852

Last 10 Years Publication Activity

This timeline shows the professor's yearly publication activity.

2025
7
2024
4
2023
7
2022
5
2021
5
2020
4
2019
2
2018
3
2017
1
2016
1

Publication Venues and Collaboration

Journal, Conference, and Book Publication Breakdown

Conference 13
Journal 5
Book 0

Top Coauthors

Galanti Wolf Benaim

Research Impact by Period

2025-2026

Period Stats
Papers 7
Citations 79
Avg. Citations / Paper 11.3
H-Index 3

2020-2024

Period Stats
Papers 25
Citations 817
Avg. Citations / Paper 32.7
H-Index 13

2015-2019

Period Stats
Papers 7
Citations 206
Avg. Citations / Paper 29.4
H-Index 7

Contact and Professional Links

Contact Information

galanti@tamu.edu
9798458871

Detected Research Keywords

Supervised Contrastive Learning Generalization Bounds Transfer Bounds Transfer Learning Bounds Unsupervised Cross Unsupervised Cross Domain Cross Domain Mapping