| 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 | De-confusing Pseudo-labels in Source-Free Domain Adaptation. | Idit Diamant, Amir Rosenfeld, Idan Achituve, Jacob Goldberger, Arnon Netzer |
| 2024 | ECCV | EPTQ: Enhanced Post-training Quantization via Hessian-Guided Network-Wise Optimization. | Ofir Gordon, Elad Cohen, Hai Victor Habi, Arnon Netzer |
| 2024 | ICML | Bayesian Uncertainty for Gradient Aggregation in Multi-Task Learning. | Idan Achituve, Idit Diamant, Arnon Netzer, Gal Chechik, Ethan Fetaya |
| 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 |
| 2013 | ICAART | Distributed Envy Minimization for Resource Allocation. | Arnon Netzer, Amnon Meisels |
| 2011 | IDC | SOCIAL DCOP - Social Choice in Distributed Constraints Optimization. | Arnon Netzer, Amnon Meisels |