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 | 560 | 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 | 557 | 2018 |
Segdiff: Image segmentation with diffusion probabilistic models T Amit, T Shaharbany, E Nachmani, L Wolf arXiv preprint arXiv:2112.00390, 2021 | 213 | 2021 |
Voiceloop: Voice fitting and synthesis via a phonological loop Y Taigman, L Wolf, A Polyak, E Nachmani arXiv preprint arXiv:1707.06588, 2017 | 186 | 2017 |
Voice Separation with an Unknown Number of Multiple Speakers E Nachmani, Y Adi, L Wolf ICML 2020 - International Conference on Machine Learning, 2020 | 180 | 2020 |
RNN Decoding of Linear Block Codes E Nachmani, E Marciano, D Burshtein, Y Be'ery arXiv preprint arXiv:1702.07560, 2017 | 123 | 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 | 104 | 2018 |
Knn-diffusion: Image generation via large-scale retrieval S Sheynin, O Ashual, A Polyak, U Singer, O Gafni, E Nachmani, ... arXiv preprint arXiv:2204.02849, 2022 | 98 | 2022 |
Noise Estimation for Generative Diffusion Models R San-Roman, E Nachmani, L Wolf arXiv preprint arXiv:2104.02600, 2021 | 90 | 2021 |
Unsupervised Singing Voice Conversion E Nachmani, L Wolf Interspeech 2019, 2019 | 68 | 2019 |
Hyper-Graph-Network Decoders for Block Codes E Nachmani, L Wolf NeurIPS 2019 - Advances in Neural Information Processing Systems, 2019 | 67 | 2019 |
Non gaussian denoising diffusion models E Nachmani, RS Roman, L Wolf arXiv preprint arXiv:2106.07582, 2021 | 53 | 2021 |
Unsupervised Polyglot Text To Speech E Nachmani, L Wolf ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 53 | 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 | 38 | 2020 |
Near Maximum Likelihood Decoding with Deep Learning E Nachmani, Y Bachar, E Marciano, D Burshtein, Y Be'ery IZS 2018 (International Zurich Seminar on Information and Communication), 2018 | 32 | 2018 |
Deep Learning Decoding of Error Correcting Codes Y Beery, D Burshtein, E Nachmani US Patent App. 15/996,542, 2018 | 30 | 2018 |
Voice Synthesis For in-the-wild Speakers via a Phonological Loop Y Taigman, L Wolf, A Polyak, E Nachmani ICLR 2018 - International Conference on Learning Representations, 2017 | 28 | 2017 |
SepIt: Approaching a Single Channel Speech Separation Bound S Lutati, E Nachmani, L Wolf arXiv preprint arXiv:2205.11801, 2022 | 27 | 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 | 27 | 2020 |
Many-Speakers Single Channel Speech Separation with Optimal Permutation Training S Dovrat, E Nachmani, L Wolf Interspeech 2021, 2021 | 24 | 2021 |