| Mapping the global design space of nanophotonic components using machine learning pattern recognition D Melati, Y Grinberg, M Kamandar Dezfouli, S Janz, P Cheben, ... Nature communications 10 (1), 4775, 2019 | 109 | 2019 |
| Compressed least-squares regression on sparse spaces MM Fard, Y Grinberg, J Pineau, D Precup Proceedings of the AAAI Conference on Artificial Intelligence 26 (1), 1054-1060, 2012 | 36 | 2012 |
| Perfectly vertical surface grating couplers using subwavelength engineering for increased feature sizes MK Dezfouli, Y Grinberg, D Melati, P Cheben, JH Schmid, ... Optics Letters 45 (13), 3701-3704, 2020 | 34 | 2020 |
| Topological inverse design of nanophotonic devices with energy constraint G Zhang, DX Xu, Y Grinberg, O Liboiron-Ladouceur Optics Express 29 (8), 12681-12695, 2021 | 25 | 2021 |
| Design of compact and efficient silicon photonic micro antennas with perfectly vertical emission D Melati, MK Dezfouli, Y Grinberg, JH Schmid, R Cheriton, S Janz, ... IEEE Journal of Selected Topics in Quantum Electronics 27 (1), 1-10, 2020 | 24 | 2020 |
| On-chip Fourier-transform spectrometers and machine learning: a new route to smart photonic sensors A Herrero-Bermello, J Li, M Khazaei, Y Grinberg, AV Velasco, M Vachon, ... Optics Letters 44 (23), 5840-5843, 2019 | 22 | 2019 |
| Bellman error based feature generation using random projections on sparse spaces M Milani Fard, Y Grinberg, A Farahmand, J Pineau, D Precup Advances in Neural Information Processing Systems 26, 2013 | 19 | 2013 |
| Mixed observability predictive state representations S Ong, Y Grinberg, J Pineau Proceedings of the AAAI Conference on Artificial Intelligence 27 (1), 746-752, 2013 | 11 | 2013 |
| Design of fully apodized and perfectly vertical surface grating couplers using machine learning optimization MK Dezfouli, Y Grinberg, D Melati, JH Schmid, P Cheben, S Janz, DX Xu Integrated Optics: Devices, Materials, and Technologies XXV 11689, 67-73, 2021 | 9 | 2021 |
| Design of multi-parameter photonic devices using machine learning pattern recognition D Melati, Y Grinberg, MK Dezfouli, JH Schmid, P Cheben, S Janz, ... Integrated Photonics Platforms: Fundamental Research, Manufacturing and …, 2020 | 9 | 2020 |
| Eurogames16: Evaluating change detection in online conversation C Goutte, Y Wang, F Liao, Z Zanussi, S Larkin, Y Grinberg Proceedings of the Eleventh International Conference on Language Resources …, 2018 | 7 | 2018 |
| Goal-directed online learning of predictive models SCW Ong, Y Grinberg, J Pineau Recent Advances in Reinforcement Learning: 9th European Workshop, EWRL 2011 …, 2012 | 6 | 2012 |
| Deep Learning-Based Prediction of Fabrication-Process-Induced Structural Variations in Nanophotonic Devices D Gostimirovic, DX Xu, O Liboiron-Ladouceur, Y Grinberg ACS Photonics 9 (8), 2623-2633, 2022 | 5 | 2022 |
| Fabrication error tolerant broadband mode converters and their working principles MM Masnad, G Zhang, DX Xu, Y Grinberg, O Liboiron-Ladouceur Optics Express 30 (14), 25817-25829, 2022 | 5 | 2022 |
| Experimental demonstration of robust nanophotonic devices optimized by topological inverse design with energy constraint G Zhang, DX Xu, Y Grinberg, O Liboiron-Ladouceur Photonics Research 10 (7), 1787-1802, 2022 | 5 | 2022 |
| Remote energy auditing: Energy efficiency through smart thermostat data and control G Newsham, Y Grinberg, A Pardasani, K Bar ECEEE Summer Study proceedings, 2017 | 5 | 2017 |
| State Sequence Analysis in Hidden Markov Models. Y Grinberg, TJ Perkins UAI, 336-344, 2015 | 5 | 2015 |
| Physics-guided inverse design for SiPh mode manipulation MM Masnad, Y Grinberg, DX Xu, O Liboiron-Ladouceur Photonics in Switching and Computing, Tu4A. 4, 2021 | 4 | 2021 |
| Efficient mode exchanger-based silicon photonic switch enabled by inverse design G Zhang, DX Xu, Y Grinberg, O Liboiron-Ladouceur Optics Express 30 (12), 20543-20553, 2022 | 3 | 2022 |
| Learning predictive state representations from non-uniform sampling Y Grinberg, H Aboutalebi, M Lyman-Abramovitch, B Balle, D Precup Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 3 | 2018 |
DanXia XuPrincipal Research Officer, National Research Council CanadaVerified email at nrc-cnrc.gc.ca
