Goal-Directed Online Learning of Predictive Models. - Sylvie C. W. Ong; Yuri Grinberg; Joelle Pineau (EWRL, 2011)

Compressed Least-Squares Regression on Sparse Spaces. - Mahdi Milani Fard; Yuri Grinberg; Joelle Pineau; Doina Precup (AAAI, 2012)

On Average Reward Policy Evaluation in Infinite-State Partially Observable Systems. - Yuri Grinberg; Doina Precup (AISTATS, 2012)

Mixed Observability Predictive State Representations. - Sylvie C. W. Ong; Yuri Grinberg; Joelle Pineau (AAAI, 2013)

Average Reward Optimization Objective In Partially Observable Domains. - Yuri Grinberg; Doina Precup (ICML (1), 2013)

Bellman Error Based Feature Generation using Random Projections on Sparse Spaces. - Mahdi Milani Fard; Yuri Grinberg; Amir-massoud Farahmand; Joelle Pineau; Doina Precup (NIPS, 2013)

Optimizing Energy Production Using Policy Search and Predictive State Representations. - Yuri Grinberg; Doina Precup; Michel Gendreau (NIPS, 2014)

State Sequence Analysis in Hidden Markov Models. - Yuri Grinberg; Theodore J. Perkins (UAI, 2015)

Fully polynomial-time computation of maximum likelihood trajectories in Markov chains. - Yuri Grinberg; Theodore J. Perkins (Inf. Process. Lett., 2017)

Learning Predictive State Representations From Non-Uniform Sampling. - Yuri Grinberg; Hossein Aboutalebi; Melanie Lyman-Abramovitch; Borja Balle; Doina Precup (AAAI, 2018)

Subwavelength Silicon Photonic Metamaterial Waveguide Devices. - 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; et al. (ECOC, 2018)

EuroGames16: Evaluating Change Detection in Online Conversation. - Cyril Goutte; Yunli Wang; FangMing Liao; Zachary Zanussi; Samuel Larkin; Yuri Grinberg (LREC, 2018)

Dimensionality reduction for the on-chip integration of advanced photonic devices and functionalities. - Daniele Melati; Mohsen Kamandar Dezfouli; Yuri Grinberg; Muhammad Al-Digeil; Dan-Xia Xu; Jens H. Schmid; Pavel Cheben; Abi Waqas 001; Paolo Manfredi; Jianhao Zhang; Laurent Vivien; Carlos Alonso-Ramos (ECOC, 2021)

Dimensional Variation Tolerant Inverse Designed Broadband Mode Converter. - Md Mahadi Masnad; Guowu Zhang; Dan-Xia Xu; Yuri Grinberg; Odile Liboiron-Ladouceur (OFC, 2022)

PCA-Boosted Autoencoders for Nonlinear Dimensionality Reduction in Low Data Regimes. - Muhammad Al-Digeil; Yuri Grinberg; Daniele Melati; Mohsen Kamandar Dezfouli; Jens H. Schmid; Pavel Cheben; Siegfried Janz; Dan-Xia Xu (CoRR, 2022)

PCA-Enhanced Autoencoders for Nonlinear Dimensionality Reduction in Low Data Regimes. - Muhammad Al-Digeil; Yuri Grinberg; Daniele Melati; Jens H. Schmid; Pavel Cheben; Siegfried Janz; Dan-Xia Xu (Canadian AI, 2023)

Subwavelength-Engineered Metamaterial Devices for Integrated Photonics. - 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; et al. (ICTON, 2023)

Improving Fabrication Fidelity of Integrated Nanophotonic Devices Using Deep Learning. - Dusan Gostimirovic; Yuri Grinberg; Dan-Xia Xu; Odile Liboiron-Ladouceur (CoRR, 2023)

Recent advances in metamaterial silicon photonic devices and Huygens' metawaveguides. - 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; et al. (ICTON, 2024)

Advancing PIC Development Using Machine Learning: from Design to Fabrication to Optical Characterization. - Dan-Xia Xu; Yuri Grinberg; Siegfried Janz; Sergey Dedyulin; Jianhao Zhang; Martin Vachon; Shurui Wang; John Weber; Pavel Cheben; Jens H. Schmid; Norman Israel; Qiang Wang; et al. (OFC, 2025)