Behrooz Tahmasebi

Hello! I'm a Ph.D. student in EECS at MIT and a student member of CSAIL. My advisor is Prof. Stefanie Jegelka. Previously, I studied at the Sharif University of Technology.

I'm interested in deep learning theory, including learning with graphs/manifolds and learning with invariances.

CV: click here

Email: bzt at mit dot edu

[Google scholar]

Papers:

A Universal Class of Sharpness-Aware Minimization Algorithms
    Behrooz Tahmasebi, Ashkan Soleymani, Dara Bahri, Stefanie Jegelka, Patrick Jaillet
    preprint, 2024

On Scale-Invariant Sharpness Measures
    Behrooz Tahmasebi, Ashkan Soleymani, Stefanie Jegelka, Patrick Jaillet
    NeurIPS 2023 Workshop on Mathematics of Modern Machine Learning (M3L)

Sample Complexity Bounds for Estimating Probability Divergences under Invariances [arXiv]
    Behrooz Tahmasebi, Stefanie Jegelka
    preprint, 2023

The Exact Sample Complexity Gain from Invariances for Kernel Regression [arXiv]
    Behrooz Tahmasebi, Stefanie Jegelka
    NeurIPS 2023, Spotlight (top 3.6% of submissions)

The Power of Recursion in Graph Neural Networks for Counting Substructures [Conference Link]
    Behrooz Tahmasebi, Derek Lim, Stefanie Jegelka
    AISTATS 2023, Oral (top 1.9% of submissions)

The Capacity of Associated Subsequence Retrieval [Journal Link]
    Behrooz Tahmasebi, Mohammad Ali Maddah-Ali, and Seyed Abolfazl Motahari
    IEEE Transactions on Information Theory, 2021

Private Function Computation
    Behrooz Tahmasebi, Mohammad Ali Maddah-Ali
    IEEE International Symposium on Information Theory (ISIT), 2020

Private Sequential Function Computation [arXiv]
    Behrooz Tahmasebi, Mohammad Ali Maddah-Ali
    IEEE International Symposium on Information Theory (ISIT), 2019

Information Theory of Mixed Population Genome-Wide Association Studies
    Behrooz Tahmasebi, Mohammad Ali Maddah-Ali, Seyed Abolfazl Motahari
    IEEE Information Theory Workshop (ITW), 2018

Genome-Wide Association Studies: Information Theoretic Limits of Reliable Learning
    Behrooz Tahmasebi, Mohammad Ali Maddah-Ali, Seyed Abolfazl Motahari
    IEEE International Symposium on Information Theory (ISIT), 2018

Optimum Transmission Delay for Function Computation in NFV-Based Networks: The Role of Network Coding and Redundant Computing
    Behrooz Tahmasebi, Mohammad Ali Maddah-Ali, Saeedeh Parsaeefard, Babak Khalaj,
    IEEE Journal on Selected Areas in Communications (JSAC), 2018

On the Identifiability of Finite Mixtures of Finite Product Measures
    Behrooz Tahmasebi, Seyed Abolfazl Motahari, Mohammad Ali Maddah-Ali
    Manuscript, 2018

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