| Improving Transformer Optimization Through Better Initialization XS Huang, F Pérez, J Ba, M Volkovs ICML, 0 | 142* | |
| Hgcf: Hyperbolic graph convolution networks for collaborative filtering J Sun, Z Cheng, S Zuberi, F Pérez, M Volkovs Proceedings of the Web Conference 2021, 593-601, 2021 | 128 | 2021 |
| Probabilistic simulation of quantum circuits using a deep-learning architecture J Carrasquilla, D Luo, F Pérez, A Milsted, BK Clark, M Volkovs, L Aolita Physical Review A 104 (3), 032610, 2021 | 57 | 2021 |
| Improving non-autoregressive translation models without distillation XS Huang, F Perez, M Volkovs International Conference on Learning Representations, 2022 | 41 | 2022 |
| TAFA: Two-headed attention fused autoencoder for context-aware recommendations JP Zhou, Z Cheng, F Pérez, M Volkovs Proceedings of the 14th ACM conference on recommender systems, 338-347, 2020 | 32 | 2020 |
| On the existence of 𝐹-thresholds and related limits A De Stefani, L Núñez-Betancourt, F Pérez Transactions of the American Mathematical Society 370 (9), 6629-6650, 2018 | 29 | 2018 |
| Probing the cooperativity of Thermoplasma acidophilum proteasome core particle gating by NMR spectroscopy R Huang, F Pérez, LE Kay Proceedings of the National Academy of Sciences 114 (46), E9846-E9854, 2017 | 26 | 2017 |
| Characteristic-free test ideals F Pérez, R R.G. arXiv preprint arXiv:1907.02150, 2019 | 20 | 2019 |
| On the constancy regions for mixed test ideals F Pérez Journal of Algebra 396, 82-97, 2013 | 13 | 2013 |
| Session-based recommendation with transformers Y Lu, Z Gao, Z Cheng, J Sun, B Brown, G Yu, A Wong, F Pérez, M Volkovs Proceedings of the Recommender Systems Challenge 2022, 29-33, 2022 | 12 | 2022 |
| Robust contextual models for in-session personalization M Volkovs, A Wong, Z Cheng, F Pérez, I Stanevich, Y Lu Proceedings of the Workshop on ACM Recommender Systems Challenge, 1-5, 2019 | 10 | 2019 |
| System and method for dynamically predicting fraud using machine learning XS Huang, S Aziz, JFP Vallejo, JC Bouëtté, J Bouchard, MJR Ravaut, ... US Patent App. 17/207,221, 2022 | 7 | 2022 |
| MCL: Mixed-centric loss for collaborative filtering Z Gao, Z Cheng, F Pérez, J Sun, M Volkovs Proceedings of the ACM Web Conference 2022, 2339-2347, 2022 | 7 | 2022 |
| Cohomological dimension, Lyubeznik numbers, and connectedness in mixed characteristic DJ Hernández, L Núñez-Betancourt, F Pérez, EE Witt Journal of Algebra 514, 442-467, 2018 | 6 | 2018 |
| Two-headed attention fused autoencoder for context-aware recommendation M Volkovs, JF Vallejo, JP Zhou, Z Cheng US Patent App. 17/405,939, 2022 | 5 | 2022 |
| Lyubeznik numbers and injective dimension in mixed characteristic D Hernández, L Núñez-Betancourt, F Pérez, E Witt Transactions of the American Mathematical Society 371 (11), 7533-7557, 2019 | 5 | 2019 |
| F-jumping and F-Jacobian ideals for hypersurfaces L Núñez-Betancourt, F Pérez Journal of Pure and Applied Algebra 220 (1), 292-318, 2016 | 5 | 2016 |
| User engagement modeling with deep learning and language models M Volkovs, F Perez, Z Cheng, J Sun, S Norouzi, A Wong, P Jankiewicz, ... Proceedings of the Recommender Systems Challenge 2021, 22-27, 2021 | 4 | 2021 |
| Uniformity in reduction to characteristic p F Pérez, K Tucker, Y Yao preparation, 2021 | 4 | 2021 |
| Initialization of Parameters for Machine-Learned Transformer Neural Network Architectures M Volkovs, XS Huang, JFP Vallejo US Patent App. 18/303,179, 2023 | 3 | 2023 |
Maksims VolkovsLayer 6 AIVerified email at cs.toronto.edu
