| Local dynamics in trained recurrent neural networks A Rivkind, O Barak Physical review letters 118 (25), 258101, 2017 | 66 | 2017 |
| Understanding and Controlling Memory in Recurrent Neural Networks D Haviv, A Rivkind, O Barak Proceedings of the 36th International Conference on Machine Learning, PMLR …, 2019 | 23 | 2019 |
| Dual-band CMOS transceiver with highly integrated front-end for 450Mb/s 802.11 n systems S Gross, T Maimon, F Cossoy, M Ruberto, G Normatov, A Rivkind, ... 2010 IEEE Radio Frequency Integrated Circuits Symposium, 431-434, 2010 | 13 | 2010 |
| Learning to represent continuous variables in heterogeneous neural networks R Darshan, A Rivkind Cell Reports 39 (1), 110612, 2022 | 11 | 2022 |
| Method for second intercept point calibration based on opportunistic reception I Kushnir, O Degani, L Kravitz, A Rivkind US Patent 8,121,571, 2012 | 10 | 2012 |
| Eigenvalue repulsion estimates and some applications for the one-dimensional Anderson model A Rivkind, Y Krivolapov, S Fishman, A Soffer Journal of Physics A: Mathematical and Theoretical 44 (30), 305206, 2011 | 6 | 2011 |
| Scale free topology as an effective feedback system A Rivkind, H Schreier, N Brenner, O Barak PLoS Computational Biology 16 (5), e1007825, 2020 | 4 | 2020 |
| Visual hyperacuity with moving sensor and recurrent neural computations A Rivkind, O Ram, E Assa, M Kreiserman, E Ahissar International Conference on Learning Representations, 2021 | 1 | 2021 |
| Some Rigorous Bounds for Anderson Model and Their Applications A Rivkind Technion-Israel Institute of Technology, Faculty of Physics, 2012 | | 2012 |
Omri BarakTechnion - Israel Institute of TechnologyVerified email at tx.technion.ac.il
