| Learning to Decode Linear Codes Using Deep Learning E Nachmani, Y Be'ery, D Burshtein 2016 54th Annual Allerton Conference on Communication, Control, and …, 2016 | 692 | 2016 |
| Deep Learning Methods for Improved Decoding of Linear Codes E Nachmani, E Marciano, L Lugosch, WJ Gross, D Burshtein, Y Be’ery IEEE Journal of Selected Topics in Signal Processing 12 (1), 119-131, 2018 | 691 | 2018 |
| Segdiff: Image segmentation with diffusion probabilistic models T Amit, T Shaharbany, E Nachmani, L Wolf arXiv preprint arXiv:2112.00390, 2021 | 527 | 2021 |
| Voice Separation with an Unknown Number of Multiple Speakers E Nachmani, Y Adi, L Wolf ICML 2020 - International Conference on Machine Learning, 2020 | 224 | 2020 |
| Voiceloop: Voice fitting and synthesis via a phonological loop Y Taigman, L Wolf, A Polyak, E Nachmani ICLR 2018 - International Conference on Learning Representations, 2017 | 207 | 2017 |
| Knn-diffusion: Image generation via large-scale retrieval S Sheynin, O Ashual, A Polyak, U Singer, O Gafni, E Nachmani, ... ICLR 2023 - International Conference on Learning Representations, 2022 | 148 | 2022 |
| Noise Estimation for Generative Diffusion Models R San-Roman, E Nachmani, L Wolf arXiv preprint arXiv:2104.02600, 2021 | 141 | 2021 |
| RNN Decoding of Linear Block Codes E Nachmani, E Marciano, D Burshtein, Y Be'ery arXiv preprint arXiv:1702.07560, 2017 | 132 | 2017 |
| Fitting New Speakers Based on a Short Untranscribed Sample E Nachmani, A Polyak, Y Taigman, L Wolf ICML 2018 - International Conference on Machine Learning, 2018 | 111 | 2018 |
| Spoken Question Answering and Speech Continuation Using Spectrogram-Powered LLM E Nachmani, A Levkovitch, R Hirsch, J Salazar, C Asawaroengchai, ... ICLR 2024 - International Conference on Learning Representations, 2023 | 108* | 2023 |
| Hyper-Graph-Network Decoders for Block Codes E Nachmani, L Wolf NeurIPS 2019 - Advances in Neural Information Processing Systems, 2019 | 106 | 2019 |
| Non gaussian denoising diffusion models E Nachmani, RS Roman, L Wolf arXiv preprint arXiv:2106.07582, 2021 | 85 | 2021 |
| Unsupervised Singing Voice Conversion E Nachmani, L Wolf Interspeech 2019, 2019 | 78 | 2019 |
| Unsupervised Polyglot Text To Speech E Nachmani, L Wolf ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 56 | 2019 |
| SAGRNN: Self-attentive gated RNN for binaural speaker separation with interaural cue preservation K Tan, B Xu, A Kumar, E Nachmani, Y Adi IEEE Signal Processing Letters 28, 26-30, 2020 | 47 | 2020 |
| Deep Learning Decoding of Error Correcting Codes Y Beery, D Burshtein, E Nachmani US Patent App. 15/996,542, 2018 | 45 | 2018 |
| SepIt: Approaching a Single Channel Speech Separation Bound S Lutati, E Nachmani, L Wolf Interspeech 2022, 2022 | 42 | 2022 |
| Many-Speakers Single Channel Speech Separation with Optimal Permutation Training S Dovrat, E Nachmani, L Wolf Interspeech 2021, 2021 | 38 | 2021 |
| Decision s4: Efficient sequence-based rl via state spaces layers SB David, I Zimerman, E Nachmani, L Wolf The Eleventh International Conference on Learning Representations, 2022 | 37 | 2022 |
| Single channel voice separation for unknown number of speakers under reverberant and noisy settings SE Chazan, L Wolf, E Nachmani, Y Adi ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2020 | 36 | 2020 |
Lior WolfThe School of Computer Science at Tel Aviv UniversityVerified email at cs.tau.ac.il
