Scholar
Hai Victor Habi
Google Scholar ID: SKLM278AAAAJ
Tel Aviv University
Citations & Impact
Citations
294
H-index
7
i10-index
6
Publications
20
Co-authors
13
list available
Publications
Resume (English only)
Academic Achievements
- Publications: 'Data Generation for Hardware-Friendly Post-Training Quantization', 'Learned Bayesian Cramér-Rao Bound for Unknown Measurement Models Using Score Neural Networks', 'Learning the Barankin lower bound on doa estimation error', 'Fully Quantized Neural Networks for Audio Source Separation', 'Learning to bound: A generative Cramér-Rao bound', 'Towards Fully Quantized Neural Networks For Speech Enhancement'.
Research Experience
- Principal Research Scientist at Arm; previously headed the research and algorithm development group at Sony Semiconductor Israel, focusing on efficient deep learning inference techniques, including quantization, pruning, and low-rank approximation.
Education
- Ph.D. in Electrical Engineering at Tel Aviv University, supervised by Professor Hagit Messer (Tel Aviv University) and Professor Yoram Bresler (University of Illinois Urbana-Champaign). M.Sc. in Electrical Engineering from Tel Aviv University, supervised by Professor Hagit Messer, working on environmental monitoring using machine learning and commercial microwave links in the Cellenmon Lab.
Background
- Research Interests: Intersection of statistical signal processing and deep learning, with a focus on generative modeling. Specifically, developing methodologies for obtaining estimation performance bounds from data.
