Wet-Dry Classification Using LSTM and Commercial Microwave Links. - Hai Victor Habi; Hagit Messer (SAM, 2018)

RNN Models for Rain Detection. - Hai Victor Habi; Hagit Messer (SiPS, 2019)

Genetic Network Architecture Search. - Hai Victor Habi; Gil Rafalovich (CoRR, 2019)

HMQ: Hardware Friendly Mixed Precision Quantization Block for CNNs. - Hai Victor Habi; Roy H. Jennings; Arnon Netzer (ECCV (26), 2020)

Uncertainties in Short Commercial Microwave Links Fading Due to Rain. - Hai Victor Habi; Hagit Messer (ICASSP, 2020)

Multi-View Image-to-Image Translation Supervised by 3D Pose. - Idit Diamant; Oranit Dror; Hai Victor Habi; Arnon Netzer (CoRR, 2021)

HPTQ: Hardware-Friendly Post Training Quantization. - Hai Victor Habi; Reuven Peretz; Elad Cohen; Lior Dikstein; Oranit Dror; Idit Diamant; Roy H. Jennings; Arnon Netzer (CoRR, 2021)

Recurrent Neural Network for Rain Estimation Using Commercial Microwave Links. - Hai Victor Habi; Hagit Messer (IEEE Trans. Geosci. Remote. Sens., 2021)

A Generative Cramér-Rao Bound on Frequency Estimation with Learned Measurement Distribution. - Hai Victor Habi; Hagit Messer; Yoram Bresler (SAM, 2022)

Reconciling a Centroid-Hypothesis Conflict in Source-Free Domain Adaptation. - Idit Diamant; Roy H. Jennings; Oranit Dror; Hai Victor Habi; Arnon Netzer (CoRR, 2022)

On the Cramér-Rao Bound Under a Linear Transformation of the Parameter. - Hai Victor Habi; Hagit Messer; Shay Sagiv; Joseph Tabrikian (CAMSAP, 2023)

Learned Generative Misspecified Lower Bound. - Hai Victor Habi; Hagit Messer; Yoram Bresler (ICASSP, 2023)

Rain Estimation Over a Region Using Cyclegan. - Sergey Timinsky; Hai Victor Habi; Jonatan Ostrometzky (ICASSP Workshops, 2023)

Towards Fully Quantized Neural Networks For Speech Enhancement. - Elad Cohen; Hai Victor Habi; Arnon Netzer (INTERSPEECH, 2023)

EPTQ: Enhanced Post-Training Quantization via Label-Free Hessian. - Ofir Gordon; Hai Victor Habi; Arnon Netzer (CoRR, 2023)

Learning to Bound: A Generative Cramér-Rao Bound. - Hai Victor Habi; Hagit Messer; Yoram Bresler (IEEE Trans. Signal Process., 2023)

EPTQ: Enhanced Post-training Quantization via Hessian-Guided Network-Wise Optimization. - Ofir Gordon; Elad Cohen; Hai Victor Habi; Arnon Netzer (ECCV Workshops (11), 2024)

Learning the Barankin Lower Bound on DOA Estimation Error. - Hai Victor Habi; Hagit Messer; Yoram Bresler (ICASSP, 2024)

Lower Bounds on Non-Bayesian Parameter Estimation Errors Under Reparameterization. - Shay Sagiv; Hagit Messer; Hai Victor Habi; Joseph Tabrikian (SAM, 2024)

Opportunities and challenges in learning to bound. - Hai Victor Habi; Hagit Messer; Yoram Bresler (CISS, 2025)

Optimal Allocation of Auxiliary Designated Sensor for Opportunistic Rain Field Reconstruction. - Hai Victor Habi; Hagit Messer (SSP, 2025)

Data Generation for Hardware-Friendly Post-Training Quantization. - Lior Dikstein; Ariel Lapid; Arnon Netzer; Hai Victor Habi (WACV, 2025)

Learned Bayesian Cramér-Rao Bound for Unknown Measurement Models Using Score Neural Networks. - Hai Victor Habi; Hagit Messer; Yoram Bresler (CoRR, 2025)

Efficient Image Restoration via Latent Consistency Flow Matching. - Elad Cohen; Idan Achituve; Idit Diamant; Arnon Netzer; Hai Victor Habi (CoRR, 2025)

Inverse Problem Sampling in Latent Space Using Sequential Monte Carlo. - Idan Achituve; Hai Victor Habi; Amir Rosenfeld; Arnon Netzer; Idit Diamant; Ethan Fetaya (CoRR, 2025)

MLoRQ: Bridging Low-Rank and Quantization for Transformer Compression. - Ofir Gordon; Ariel Lapid; Elad Cohen; Yarden Yagil; Arnon Netzer; Hai Victor Habi (CoRR, 2025)