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Hai Victor Habi
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Journal Articles
- 2023
- [j2]Hai Victor Habi, Hagit Messer, Yoram Bresler:
Learning to Bound: A Generative Cramér-Rao Bound. IEEE Trans. Signal Process. 71: 1216-1231 (2023) - 2021
- [j1]Hai Victor Habi, Hagit Messer:
Recurrent Neural Network for Rain Estimation Using Commercial Microwave Links. IEEE Trans. Geosci. Remote. Sens. 59(5): 3672-3681 (2021)
Conference and Workshop Papers
- 2024
- [c11]Hai Victor Habi, Hagit Messer, Yoram Bresler:
Learning the Barankin Lower Bound on DOA Estimation Error. ICASSP 2024: 9906-9910 - [c10]Shay Sagiv, Hagit Messer, Hai Victor Habi, Joseph Tabrikian:
Lower Bounds on Non-Bayesian Parameter Estimation Errors Under Reparameterization. SAM 2024: 1-5 - 2023
- [c9]Hai Victor Habi, Hagit Messer, Shay Sagiv, Joseph Tabrikian:
On the Cramér-Rao Bound Under a Linear Transformation of the Parameter. CAMSAP 2023: 426-430 - [c8]Hai Victor Habi, Hagit Messer, Yoram Bresler:
Learned Generative Misspecified Lower Bound. ICASSP 2023: 1-5 - [c7]Sergey Timinsky, Hai Victor Habi, Jonatan Ostrometzky:
Rain Estimation Over a Region Using Cyclegan. ICASSP Workshops 2023: 1-5 - [c6]Elad Cohen, Hai Victor Habi, Arnon Netzer:
Towards Fully Quantized Neural Networks For Speech Enhancement. INTERSPEECH 2023: 181-185 - 2022
- [c5]Hai Victor Habi, Hagit Messer, Yoram Bresler:
A Generative Cramér-Rao Bound on Frequency Estimation with Learned Measurement Distribution. SAM 2022: 176-180 - 2020
- [c4]Hai Victor Habi, Roy H. Jennings, Arnon Netzer:
HMQ: Hardware Friendly Mixed Precision Quantization Block for CNNs. ECCV (26) 2020: 448-463 - [c3]Hai Victor Habi, Hagit Messer:
Uncertainties in Short Commercial Microwave Links Fading Due to Rain. ICASSP 2020: 9006-9010 - 2019
- [c2]Hai Victor Habi, Hagit Messer:
RNN Models for Rain Detection. SiPS 2019: 184-188 - 2018
- [c1]Hai Victor Habi, Hagit Messer:
Wet-Dry Classification Using LSTM and Commercial Microwave Links. SAM 2018: 149-153
Informal and Other Publications
- 2023
- [i7]Ofir Gordon, Hai Victor Habi, Arnon Netzer:
EPTQ: Enhanced Post-Training Quantization via Label-Free Hessian. CoRR abs/2309.11531 (2023) - 2022
- [i6]Hai Victor Habi, Hagit Messer, Yoram Bresler:
Learning to Bound: A Generative Cramér-Rao Bound. CoRR abs/2203.03695 (2022) - [i5]Idit Diamant, Roy H. Jennings, Oranit Dror, Hai Victor Habi, Arnon Netzer:
Reconciling a Centroid-Hypothesis Conflict in Source-Free Domain Adaptation. CoRR abs/2212.03795 (2022) - 2021
- [i4]Idit Diamant, Oranit Dror, Hai Victor Habi, Arnon Netzer:
Multi-View Image-to-Image Translation Supervised by 3D Pose. CoRR abs/2104.05779 (2021) - [i3]Hai Victor Habi, Reuven Peretz, Elad Cohen, Lior Dikstein, Oranit Dror, Idit Diamant, Roy H. Jennings, Arnon Netzer:
HPTQ: Hardware-Friendly Post Training Quantization. CoRR abs/2109.09113 (2021) - 2020
- [i2]Hai Victor Habi, Roy H. Jennings, Arnon Netzer:
HMQ: Hardware Friendly Mixed Precision Quantization Block for CNNs. CoRR abs/2007.09952 (2020) - 2019
- [i1]Hai Victor Habi, Gil Rafalovich:
Genetic Network Architecture Search. CoRR abs/1907.02871 (2019)
Coauthor Index
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