Niv Haim
Machine Learning researcher at the Weizmann Institute of Science
Lecturer at Generative AI course
Niv Haim is a computer vision and machine learning researcher at the Weizmann Institute of Science, where he earned his PhD under the guidance of Prof. Michal Irani.
Niv's research focuses on developing algorithms and models to analyze and interpret visual data, with a particular interest in understanding memorization in neural networks and the intersection of theory and practice in deep learning. His works were published in top-tier machine learning conferences, including NeurIPS, ICML, ICCV, and ECCV.
Niv's research focuses on developing algorithms and models to analyze and interpret visual data, with a particular interest in understanding memorization in neural networks and the intersection of theory and practice in deep learning. His works were published in top-tier machine learning conferences, including NeurIPS, ICML, ICCV, and ECCV.
Prior to his PhD studies, Niv received an MSc in theoretical astrophysics under the guidance of Prof. Boaz Katz and worked with Prof. Yaron Lipman on Geometric Deep Learning. Niv holds a BSc in computer science and physics from the Technion, where he was a member of the Lapidim excellence program.