Yuri Grinberg
Title
Cited by
Cited by
Year
Mapping the global design space of nanophotonic components using machine learning pattern recognition
D Melati, Y Grinberg, MK Dezfouli, S Janz, P Cheben, JH Schmid, ...
Nature communications 10 (1), 1-9, 2019
392019
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), 2012
302012
Bellman error based feature generation using random projections on sparse spaces
MM Fard, Y Grinberg, A Farahmand, J Pineau, D Precup
arXiv preprint arXiv:1207.5554, 2012
172012
Mixed observability predictive state representations
S Ong, Y Grinberg, J Pineau
Proceedings of the AAAI Conference on Artificial Intelligence 27 (1), 2013
102013
Goal-directed online learning of predictive models
SCW Ong, Y Grinberg, J Pineau
European Workshop on Reinforcement Learning, 18-29, 2011
62011
Remote energy auditing: Energy efficiency through smart thermostat data and control
GR Newsham, Y Grinberg, A Pardasani, K Bar
ECEEE Proceedings, 2017
42017
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
32020
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
32018
State Sequence Analysis in Hidden Markov Models.
Y Grinberg, TJ Perkins
UAI, 336-344, 2015
32015
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
22020
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
22019
Optimizing energy production using policy search and predictive state representations
Y Grinberg, D Precup, M Gendreau
Advances in Neural Information Processing Systems, 2969-2977, 2014
22014
Random projections preserve linearity in sparse spaces
MM Fard, Y Grinberg, J Pineau, D Precup
School of Computer Science, Mcgill University, Tech. Rep, 2012
22012
Machine learning design of subwavelengh integrated photonic devices
D Melati, MK Dezfouli, Y Grinberg, S Janz, JH Schmid, P Cheben, DX Xu
2019 International Conference on Numerical Simulation of Optoelectronic …, 2019
12019
Performance robustness analysis in machine-assisted design of photonic devices
D Melati, Y Grinberg, A Waqas, P Manfredi, MK Dezfouli, P Cheben, ...
Smart Photonic and Optoelectronic Integrated Circuits XXI 10922, 1092203, 2019
12019
Reaping the benefits of machine learning pattern recognition in nanophotonic component design
Y Grinberg, D Melati, MK Dezfouli, S Janz, JH Schmid, P Cheben, ...
Integrated Optics: Devices, Materials, and Technologies XXIII 10921, 109210B, 2019
12019
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
12018
Fully polynomial-time computation of maximum likelihood trajectories in Markov chains
Y Grinberg, TJ Perkins
Information Processing Letters 118, 53-57, 2017
12017
On average reward policy evaluation in infinite-state partially observable systems
Y Grinberg, D Precup
Artificial Intelligence and Statistics, 449-457, 2012
12012
LSTD on sparse spaces
Y Grinberg, MM Fard, J Pineau
NIPS Workshop on New Frontiers in Model Order Selection, 2011
12011
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Articles 1–20