Mohammadamin (Amin) Banayeeanzade


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I am a CS Ph.D. student at the University of Southern California (USC), working with Sai Praneeth Karimireddy. I am currently interested in the intersection of optimization theory and modern deep learning, particularly investigating certain phenomena in deep learning models such as generalization, memorization, and feature learning. Prior to USC, I received my Master's at computer engineering department of Sharif University of Technology under the supervision of Mahdieh Soleymani, where I did research on developing brain-inspired algorithms for the meta-continual learning problem. Additionally, I got my B.Sc. in electrical engineering from the same university where I was jointly supervised by Mahdi Shabany and Zahra Kavehvash.

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Publications

Mechanistic Interpretability of Emotion Inference in Large Language Models
A. N. Tak*, A. Banayeeanzade*, A. Bolourani, M. Kian, R. Jia, J. Gratch.
ACL, 2025.
[Paper] [Code]

Theoretical Insights into Overparameterized Models in Multi-Task and Replay-Based Continual Learning
A. Banayeeanzade, M. Soltanolkotabi, M. Rostami.
TMLR, 2025.
[Paper] [Code]

GABRIL: Gaze-Based Regularization for Mitigating Causal Confusion in Imitation Learning
A. Banayeeanzade*, F. Bahrani*, Y. Zhou, E. Bıyık.
Under review at IROS 2025.
[Project Page]

Hybrid Learners Do Not Forget: A Brain-Inspired Neuro-Symbolic Approach to Continual Learning
A. Banayeeanzade, M. Rostami.
arXiv, 2025.
[Paper]

A Distinct Unsupervised Reference Model from The Environment Helps Continual Learning
A. Ameli, A. Banayeeanzade, M. Samiei, M. Soleymani.
arXiv, 2023.
[Paper]

Generative vs. Discriminative: Rethinking The Meta-Continual Learning
A. Banayeeanzade*, R. Mirzaiezadeh*, H. Hasani, M. Soleymani.
NeurIPS, 2021.
[Paper] [Code]
* Equal Contributions.

Other Projects

Automatic Object Detection Under Clothing in Millimeter-Wave Images
Accomplished project as senior AI researcher at Basir Wave Tech
[Video]