Idan Achituve


I am a PhD student at Bar-Ilan University, supervised jointly by Prof. Gal Chechik from the Gonda Brain research institute and director of AI at NVIDIA, and Prof. Ethan Fetaya from the Faculty of Engineering. My research focus is primarily on machine learning problems in the low data regime. I am interested in developing methods and improve current procedures that combine the elegance of Bayesian modeling with the expressiveness abilities of deep learning models.
I hold a MSc in Computer Science and a BSc in Industrial Engineering. Both with great honor.
Also, I have several years of industry experience, working as a Data Scientist at RSA.


Teaching assistant in the course introduction to deep learning, Faculty of Engineering, Bar-Ilan University, 2020.

Reviwer at NeurIPS 2020. Top 10% of high-scoring reviewers.

Reviwer at IJCAI 2019.


Auxiliary Learning by Implicit Differentiation.
Aviv Navon*, Idan Achituve*, Haggai Maron, Gal Chechik, Ehtan Fetaya
preprint, 2020.
[Paper] [Code] [Project Page]
Self-Supervised Learning for Domain Adaptation on Point-Clouds.
Idan Achituve, Haggai Maron, Gal Chechik.
IEEE Winter Conference on Applications of Computer Vision (WACV), 2021.
[Paper] [Code]
Interpretable online banking fraud detection based on hierarchical attention mechanism.
Idan Achituve, Sarit Kraus and Jacob Goldberger.
IEEE Machine Learning for Signal Processing Workshop (MLSP), 2019.
  • Education

  • PhD - Bar-Ilan University

    2019 - 2024

    A PhD in machine learning at the department of electrical engineering, Bar-Ilan University.

  • MSc in CS - Bar-Ilan University

    2017 - 2019

    A MSc in Computer Science, majored in AI and machine learning, Bar-Ilan University.

  • BSc in IDE - Ben-Gurion University

    2011 - 2015

    A BSc in Industrial Engineering and Management, majored in Information Systems, Ben-Gurion University. Deans Honors Award in the 4th year.