About Me
I’m a Computer Vision and Deep Learning researcher. MSc in Computer Science from Tel Aviv University under the supervision of Nadav Cohen.
My research interests include generalization of Deep Neural Networks, applications to Computer Vision tasks. I’m also interested in other fields and applications of Machine Learning (NLP, classical ML methods, NLP, etc.).
email: asafmaman (at) mail.tau.ac.il
News
- May 2022 Implicit Regularization in Hierarchical Tensor Factorization and Deep Convolutional Neural Networks accepted to ICML 2022.
- May 2021: Implicit Regularization in Tensor Factorization accepted to ICML 2021.
- February 2021: Released a new paper about the implicit regularization in tensor factorization.
- October 2020: Joined Nadav Cohen’s research group.
Publications
Implicit Regularization in Hierarchical Tensor Factorization and Deep Convolutional Neural Networks
Noam Razin, Asaf Maman, Nadav Cohen
International Conference on Machine Learning (ICML), 2022
[paper, code]
Implicit Regularization in Tensor Factorization
Noam Razin*, Asaf Maman*, Nadav Cohen
International Conference on Machine Learning (ICML), 2021
*Equal contribution
[paper, code]
Talks
Blog Posts
- Implicit Regularization in Tensor Factorization: Can Tensor Rank Shed Light on Generalization in Deep Learning?, Off the Convex Path, Jul’08, 2021 [blog post]