Idan Achituve

Hi!

I am a last year Ph.D. student at Bar-Ilan University, supervised jointly by Prof. Gal Chechik from the CS department at BIU and director of AI at NVIDIA, and Dr. Ethan Fetaya from the Faculty of Engineering at BIU. Currently, I am also a computer vision researcher at Sony aiming at producing top-notch research papers in machine learning. I am interested in both theoretical and practical aspects of machine and deep learning. Specifically, I am passionate about Bayesian modeling, Gaussian processes, and probabilistic generative models. I hold a MSc in Computer Science and a BSc in Industrial Engineering, both with honors. Before my MSc degree, I worked for several years as a Data Scientist at RSA.
I am always looking for collaborations, so if you want to work together please don't hesitate to reach out.

ACADEMIC ACTIVITY

Reviewing. 2019: IJCAI; 2020: NeurIPS (top 10%); 2021: ICML, NeurIPS (top 8%), ICLR (highlighted); 2022: NeurIPS, ICLR; 2023: NeurIPS, ICLR; 2024: ICML

Teaching assistant in the course introduction to deep learning, Faculty of Engineering, Bar-Ilan University, 2021-2023.

PUBLICATIONS

Bayesian Uncertainty for Gradient Aggregation in Multi-Task Learning.
Idan Achituve, Idit Diamant, Arnon Netzer, Gal Chechik, Ethan Fetaya
Arxiv, 2024.
[Paper] [Code]
De-Confusing Pseudo-Labels in Source-Free Domain Adaptation.
Idit Diamant, Amir Rosenfeld, Idan Achituve, Arnon Netzer
Arxiv, 2024.
[Paper]
Data Augmentations in Deep Weight Spaces.
Aviv Shamsian, [...], Idan Achituve, [...], Haggai Maron
NeurIPS 2023 Workshop on Symmetry and Geometry in Neural Representations, 2023.
[Paper]
GD-VDM: Generated Depth for Better Diffusion-Based Video Generation.
Ariel Lapid, Idan Achituve, Lior Bracha, Ethan Fetaya
Arxiv, 2023.
[Paper]
Guided Deep Kernel Learning.
Idan Achituve, Gal Chechik, Ethan Fetaya
Uncertainty in Artificial Intelligence (UAI), 2023.
[Paper] [Code]
Equivariant Architectures for Learning in Deep Weight Spaces. (Oral)
Aviv Navon, Aviv Shamsian, Idan Achituve, Ethan Fetaya, Gal Chechik, Haggai Maron
International Conference on Machine Learning (ICML), 2023
[Paper] [Code] [Project Page]
Communication Efficient Distributed Learning over Wireless Channels.
Idan Achituve, Wenbo Wang, Ethan Fetaya, Amir Leshem
IEEE Signal Processing Letters, 2023.
[Paper]
Functional Ensemble Distillation.
Coby Penso, Idan Achituve, Ethan Fetaya
Neural Information Processing Systems (NeurIPS), 2022.
[Paper] [Code]
Multi-Task Learning as a Bargaining Game.
Aviv Navon, Aviv Shamsian, Idan Achituve, Haggai Maron, Kenji Kawaguchi, Gal Chechik, Ethan Fetaya
International Conference on Machine Learning (ICML), 2022.
[Paper] [Code]
Personalized Federated Learning with Gaussian Processes.
Idan Achituve, Aviv Shamsian, Aviv Navon, Gal Chechik, Ethan Fetaya
Neural Information Processing Systems (NeurIPS), 2021.
[Paper] [Code] [Project Page]
GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning.
Idan Achituve, Aviv Navon, Yochai Yemini, Gal Chechik, Ethan Fetaya
International Conference on Machine Learning (ICML), 2021.
[Paper] [Code]
Auxiliary Learning by Implicit Differentiation.
Aviv Navon*, Idan Achituve*, Haggai Maron, Gal Chechik, Ethan Fetaya
International Conference on Learning Representations (ICLR), 2021.
[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.
[Paper]

  • Education

  • PhD - Bar-Ilan University

    2019 - 2023

    A PhD in machine learning at the faculty of 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. Graduated with honors.

  • BSc in IDE - Ben-Gurion University

    2011 - 2015

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

CONTACT