Idan Achituve
Deep Learning Researcher at Arm
Tel-Aviv District, Israel
Summary
👤
Senior🎓
Top SchoolIdan Achituve is a deep learning researcher with a PhD from Bar-Ilan University and eight years of experience bridging academic rigor and applied ML across industry and academia. He has driven research and publications in top-tier venues while working on real-world problems—from improving fraud detection at RSA to academically inclined computer vision research at Sony and his current role at Arm. His expertise centers on Bayesian and probabilistic modeling, with a strong footing in sequence modeling, transfer learning, and feature engineering for large-scale production systems. Comfortable in Python, R, Java and SQL, he combines theoretical depth with hands-on engineering that has impacted millions of customers. Based in the Tel Aviv district, he pairs teaching experience as a head TA with an active research agenda, making him adept at translating complex probabilistic methods into deployable solutions.
8 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Bar-Ilan UniversityBachelor of Engineering (BE) Industrial Engineering And Management majored in Information Systems, Bachelor of Engineering (BE) Industrial Engineering And Management majored in Information Systems at Ben-Gurion University of the Negev
English, Hebrew
Github Skills (22)
classifier9
self-supervised-learning9
point-cloud8
multi-task-learning8
gaussian-processes7
multi-objective-optimization7
incremental-learning7
implicit7
computer-vision5
federated-learning5
python5
pytorch5
kernel4
semantic-segmentation4
differentiation4
Programming languages (1)
Github contributions (5)
IdanAchituve/GP-Tree
Jun 2021 - May 2022
GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning
Contributions:3 commits, 11 pushes, 1 branch in 11 months
classifiergaussian-processesincremental-learning
IdanAchituve/DefRec_and_PCM
May 2020 - Apr 2021
Self-Supervised Learning for Domain Adaptation on Point-Clouds
Contributions:18 commits, 44 pushes, 4 branches in 11 months
point-cloudself-supervised-learningdomain-adaptationpoint-cloudsmixup-inference
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