| Beyond the imitation game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... arXiv preprint arXiv:2206.04615, 2022 | 68 | 2022 |
| Stochastic bouncy particle sampler A Pakman, D Gilboa, D Carlson, L Paninski International Conference on Machine Learning, 2741-2750, 2017 | 33 | 2017 |
| Dynamical isometry and a mean field theory of LSTMs and GRUs D Gilboa, B Chang, M Chen, G Yang, SS Schoenholz, EH Chi, ... arXiv preprint arXiv:1901.08987, 2019 | 32 | 2019 |
| Efficient dictionary learning with gradient descent D Gilboa, S Buchanan, J Wright International Conference on Machine Learning, 2252-2259, 2019 | 30 | 2019 |
| Suppressing quantum errors by scaling a surface code logical qubit R Acharya, I Aleiner, R Allen, TI Andersen, M Ansmann, F Arute, K Arya, ... arXiv preprint arXiv:2207.06431, 2022 | 29 | 2022 |
| Deep networks and the multiple manifold problem S Buchanan, D Gilboa, J Wright arXiv preprint arXiv:2008.11245, 2020 | 24 | 2020 |
| A mean field theory of quantized deep networks: The quantization-depth trade-off Y Blumenfeld, D Gilboa, D Soudry Advances in Neural Information Processing Systems 32, 2019 | 12 | 2019 |
| Beyond signal propagation: is feature diversity necessary in deep neural network initialization? Y Blumenfeld, D Gilboa, D Soudry International Conference on Machine Learning, 960-969, 2020 | 10 | 2020 |
| Estimating the unique information of continuous variables A Pakman, A Nejatbakhsh, D Gilboa, A Makkeh, L Mazzucato, M Wibral, ... Advances in neural information processing systems 34, 20295-20307, 2021 | 8 | 2021 |
| Deep networks provably classify data on curves T Wang, S Buchanan, D Gilboa, J Wright Advances in neural information processing systems 34, 28940-28953, 2021 | 4 | 2021 |
| Purification-based quantum error mitigation of pair-correlated electron simulations TE O'Brien, G Anselmetti, F Gkritsis, VE Elfving, S Polla, WJ Huggins, ... arXiv preprint arXiv:2210.10799, 2022 | 3 | 2022 |
| Formation of robust bound states of interacting microwave photons A Morvan, TI Andersen, X Mi, C Neill, A Petukhov, K Kechedzhi, ... Nature 612 (7939), 240-245, 2022 | 2 | 2022 |
| Noise-resilient edge modes on a chain of superconducting qubits X Mi, M Sonner, MY Niu, KW Lee, B Foxen, R Acharya, I Aleiner, ... Science 378 (6621), 785-790, 2022 | 2 | 2022 |
| Observation of non-Abelian exchange statistics on a superconducting processor TI Andersen, YD Lensky, K Kechedzhi, I Drozdov, A Bengtsson, S Hong, ... arXiv preprint arXiv:2210.10255, 2022 | 2 | 2022 |
| Formation of robust bound states of interacting photons A Morvan, TI Andersen, X Mi, C Neill, A Petukhov, K Kechedzhi, D Abanin, ... arXiv preprint arXiv:2206.05254, 2022 | 2 | 2022 |
| Noise-resilient Majorana edge modes on a chain of superconducting qubits X Mi, M Sonner, MY Niu, KW Lee, B Foxen, R Acharya, I Aleiner, ... arXiv preprint arXiv:2204.11372, 2022 | 2 | 2022 |
| Marginalizable Density Models D Gilboa, A Pakman, T Vatter arXiv preprint arXiv:2106.04741, 2021 | 2 | 2021 |
| Estimating the unique information of continuous variables in recurrent networks A Pakman, A Nejatbakhsh, D Gilboa, A Makkeh, L Mazzucato, M Wibral, ... CoRR, abs/2102.00218, 2021 | 2 | 2021 |
| Wider networks learn better features D Gilboa, G Gur-Ari arXiv preprint arXiv:1909.11572, 2019 | 2 | 2019 |
| Noise-resilient Majorana Edge Modes on a Chain of Superconducting Qubits A Asfaw, AJ Zalcman, A Locharla, AG Dau, A Crook, A Opremcak, ... | | 2022 |
Ari PakmanBen-Gurion UniversityVerified email at bgu.ac.il
