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2020 – today
- 2024
[c16]Pavel Cheben, Jens H. Schmid, J. Zhang, M. Saad Bin-Alam, A. F. Hinestrosa, W. Fraser, R. Korcek, Jose M. Luque-González, Carlos Pérez-Armenta, Alejandro Sánchez-Postigo, Alejandro Ortega-Moñux, J. Gonzalo Wangüemert-Pérez, Íñigo Molina-Fernández, Robert Halir, Pablo Ginel-Moreno, Daniel Benedikovic, Milan Dado, Shahrzad Khajavi, Winnie N. Ye, Z. Mokeddem, Daniele Melati, Carlos Alonso-Ramos, David González-Andrade, Laurent Vivien, D. Sirmaci, I. Staude, Dan-Xia Xu, Yuri Grinberg, Siegfried Janz, S. Wang, Martin Vachon, Ross Cheriton, R. Fernández de Cabo, Aitor V. Velasco, C. Naraine, J. Bradley, A. Knights:
Recent advances in metamaterial silicon photonic devices and Huygens' metawaveguides. ICTON 2024: 1- 2023
- [c15]Muhammad Al-Digeil, Yuri Grinberg, Daniele Melati, Jens H. Schmid, Pavel Cheben, Siegfried Janz, Dan-Xia Xu:
PCA-Enhanced Autoencoders for Nonlinear Dimensionality Reduction in Low Data Regimes. Canadian AI 2023 - [c14]Pavel Cheben, Jens H. Schmid, Pablo Ginel-Moreno, Shahrzad Khajavi, R. Korcek, W. Fraser, D. Sirmaci, Alejandro Fernández Hinestrosa, Jose M. Luque-González, Daniel Pereira-Martín, Alejandro Sánchez-Postigo, Abdelfettah Hadij-ElHouati, Daniel Benedikovic, Alejandro Ortega-Moñux, J. Gonzalo Wangüemert-Pérez, I. Molina Fernandez, Robert Halir, Winnie N. Ye, Daniele Melati, Carlos Alonso-Ramos, David González-Andrade
, Laurent Vivien, I. Staude, J. Zhang, Maziyar Milanizadeh, Dan-Xia Xu, Yuri Grinberg, Ross Cheriton, Siegfried Janz, S. Wang, Martin Vachon, Milan Dado, R. Fernández de Cabo, Aitor V. Velasco:
Subwavelength-Engineered Metamaterial Devices for Integrated Photonics. ICTON 2023: 1 - [i3]Dusan Gostimirovic, Yuri Grinberg, Dan-Xia Xu, Odile Liboiron-Ladouceur:
Improving Fabrication Fidelity of Integrated Nanophotonic Devices Using Deep Learning. CoRR abs/2303.12136 (2023) - 2022
- [c13]Md Mahadi Masnad, Guowu Zhang, Dan-Xia Xu, Yuri Grinberg, Odile Liboiron-Ladouceur:
Dimensional Variation Tolerant Inverse Designed Broadband Mode Converter. OFC 2022: 1-3 - [i2]Muhammad Al-Digeil, Yuri Grinberg, Daniele Melati, Mohsen Kamandar Dezfouli, Jens H. Schmid, Pavel Cheben, Siegfried Janz, Dan-Xia Xu:
PCA-Boosted Autoencoders for Nonlinear Dimensionality Reduction in Low Data Regimes. CoRR abs/2205.11673 (2022) - 2021
- [c12]Daniele Melati, Mohsen Kamandar Dezfouli, Yuri Grinberg, Muhammad Al-Digeil, Dan-Xia Xu, Jens H. Schmid, Pavel Cheben, Abi Waqas, Paolo Manfredi, Jianhao Zhang, Laurent Vivien, Carlos Alonso-Ramos:
Dimensionality reduction for the on-chip integration of advanced photonic devices and functionalities. ECOC 2021: 1-4
2010 – 2019
- 2018
- [c11]Yuri Grinberg, Hossein Aboutalebi, Melanie Lyman-Abramovitch, Borja Balle, Doina Precup:
Learning Predictive State Representations From Non-Uniform Sampling. AAAI 2018: 3061-3068 - [c10]Pavel Cheben, Robert Halir, Jens H. Schmid, Jirí Ctyroký, Daniel Benedikovic, Carlos Alonso-Ramos, Alejandro Ortega-Moñux, Alejandro Sánchez-Postigo, David González-Andrade, J. Gonzalo Wangüemert-Pérez, Íñigo Molina-Fernández, Aitor V. Velasco, Alaine Herrero-Bermello, Jose M. Luque-González, Daniel Pereira-Martín, Jean Lapointe, Siegfried Janz, Dan-Xia Xu, Daniele Melati, Yuri Grinberg, Shurui Wang, Martin Vachon, V. Vakarin, Laurent Vivien, Jan Litvik, Jarmila Müllerová, Milan Dado:
Subwavelength Silicon Photonic Metamaterial Waveguide Devices. ECOC 2018: 1-3 - [c9]Cyril Goutte, Yunli Wang, FangMing Liao, Zachary Zanussi, Samuel Larkin, Yuri Grinberg:
EuroGames16: Evaluating Change Detection in Online Conversation. LREC 2018 - 2017
- [j1]Yuri Grinberg, Theodore J. Perkins:
Fully polynomial-time computation of maximum likelihood trajectories in Markov chains. Inf. Process. Lett. 118: 53-57 (2017) - 2015
- [c8]Yuri Grinberg, Theodore J. Perkins:
State Sequence Analysis in Hidden Markov Models. UAI 2015: 336-344 - 2014
- [c7]Yuri Grinberg, Doina Precup, Michel Gendreau:
Optimizing Energy Production Using Policy Search and Predictive State Representations. NIPS 2014: 2969-2977 - 2013
- [c6]Sylvie C. W. Ong, Yuri Grinberg, Joelle Pineau:
Mixed Observability Predictive State Representations. AAAI 2013: 746-752 - [c5]Yuri Grinberg, Doina Precup:
Average Reward Optimization Objective In Partially Observable Domains. ICML (1) 2013: 320-328 - [c4]Mahdi Milani Fard, Yuri Grinberg, Amir-massoud Farahmand, Joelle Pineau, Doina Precup:
Bellman Error Based Feature Generation using Random Projections on Sparse Spaces. NIPS 2013: 3030-3038 - 2012
- [c3]Mahdi Milani Fard, Yuri Grinberg, Joelle Pineau, Doina Precup:
Compressed Least-Squares Regression on Sparse Spaces. AAAI 2012: 1054-1060 - [c2]Yuri Grinberg, Doina Precup:
On Average Reward Policy Evaluation in Infinite-State Partially Observable Systems. AISTATS 2012: 449-457 - [i1]Mahdi Milani Fard, Yuri Grinberg, Amir Massoud Farahmand, Joelle Pineau, Doina Precup:
Bellman Error Based Feature Generation using Random Projections on Sparse Spaces. CoRR abs/1207.5554 (2012) - 2011
- [c1]Sylvie C. W. Ong, Yuri Grinberg, Joelle Pineau:
Goal-Directed Online Learning of Predictive Models. EWRL 2011: 18-29
Coauthor Index
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