| 2025 | CISS | Opportunities and challenges in learning to bound. | Hai Victor Habi, Hagit Messer, Yoram Bresler |
| 2025 | ICML | Inverse Problem Sampling in Latent Space Using Sequential Monte Carlo. | Idan Achituve, Hai Victor Habi, Amir Rosenfeld, Arnon Netzer, Idit Diamant, Ethan Fetaya |
| 2025 | WACV | Data Generation for Hardware-Friendly Post-Training Quantization. | Lior Dikstein, Ariel Lapid, Arnon Netzer, Hai Victor Habi |
| 2024 | ECCV | EPTQ: Enhanced Post-training Quantization via Hessian-Guided Network-Wise Optimization. | Ofir Gordon, Elad Cohen, Hai Victor Habi, Arnon Netzer |
| 2024 | ICASSP | Learning the Barankin Lower Bound on DOA Estimation Error. | Hai Victor Habi, Hagit Messer, Yoram Bresler |
| 2023 | ICASSP | Learned Generative Misspecified Lower Bound. | Hai Victor Habi, Hagit Messer, Yoram Bresler |
| 2023 | ICASSP | Rain Estimation Over a Region Using Cyclegan. | Sergey Timinsky, Hai Victor Habi, Jonatan Ostrometzky |
| 2023 | Interspeech | Towards Fully Quantized Neural Networks For Speech Enhancement. | Elad Cohen, Hai Victor Habi, Arnon Netzer |
| 2020 | ECCV | HMQ: Hardware Friendly Mixed Precision Quantization Block for CNNs. | Hai Victor Habi, Roy H. Jennings, Arnon Netzer |
| 2020 | ICASSP | Uncertainties in Short Commercial Microwave Links Fading Due to Rain. | Hai Victor Habi, Hagit Messer |