| Quantum boltzmann machine MH Amin, E Andriyash, J Rolfe, B Kulchytskyy, R Melko Physical Review X 8 (2), 021050, 2018 | 565 | 2018 |
| Discrete variational autoencoders JT Rolfe arXiv preprint arXiv:1609.02200, 2016 | 245 | 2016 |
| Understanding deep architectures using a recursive convolutional network D Eigen, J Rolfe, R Fergus, Y LeCun arXiv preprint arXiv:1312.1847, 2013 | 170 | 2013 |
| Discriminative recurrent sparse auto-encoders JT Rolfe, Y LeCun arXiv preprint arXiv:1301.3775, 2013 | 87 | 2013 |
| Systems and methods for creating and using quantum Boltzmann machines MHS Amin, E Andriyash, J Rolfe US Patent 11,062,227, 2021 | 49 | 2021 |
| Sampling from a set of spins with clamping F Hamze, J King, E Andriyash, C McGeoch, J Raymond, J Rolfe, ... US Patent 9,588,940, 2017 | 39 | 2017 |
| Benchmarking quantum hardware for training of fully visible Boltzmann machines D Korenkevych, Y Xue, Z Bian, F Chudak, WG Macready, J Rolfe, ... arXiv preprint arXiv:1611.04528, 2016 | 35 | 2016 |
| All smiles variational autoencoder Z Alperstein, A Cherkasov, JT Rolfe arXiv preprint arXiv:1905.13343, 2019 | 30 | 2019 |
| Discrete variational auto-encoder systems and methods for machine learning using adiabatic quantum computers J Rolfe, WG Macready, Z Bian, FA Chudak US Patent 11,042,811, 2021 | 26 | 2021 |
| Discrete variational auto-encoder systems and methods for machine learning using adiabatic quantum computers J Rolfe US Patent 11,157,817, 2021 | 22 | 2021 |
| Systems and methods for machine learning WG Macready, F Hamze, FA Chudak, M Ranjbar, JR Raymond, JT Rolfe US Patent 10,817,796, 2020 | 18 | 2020 |
| Systems and methods for training generative machine learning models JT Rolfe, AH Khoshaman, A Vahdat, MH Amin, EA Andriyash, ... US Patent App. 16/968,465, 2020 | 7 | 2020 |
| Systems and methods for generative machine learning JT Rolfe, KJ Kreis US Patent App. 16/270,273, 2019 | 7 | 2019 |
| Sampling from an analog processor F Hamze, J King, E Andriyash, C McGeoch, J Raymond, J Rolfe, ... US Patent 11,238,131, 2022 | 4 | 2022 |
| Discriminative recurrent sparse auto-encoders: 1st International Conference on Learning Representations, ICLR 2013 JT Rolfe, Y LeCun 1st International Conference on Learning Representations, ICLR 2013, 2013 | 4 | 2013 |
| The cortex as a graphical model J Rolfe Master's thesis, Computation and Neural Systems, California Institute of …, 2006 | 4 | 2006 |
| Predicting Images using Convolutional Networks: Visual Scene Understanding with Pixel Maps D Eigen New York University, 2015 | 2 | 2015 |
| Multifactor expectation maximization for factor graphs JT Rolfe, M Cook International Conference on Artificial Neural Networks, 267-276, 2010 | 2 | 2010 |
| Systems, methods and apparatus for sampling from a sampling server JT Rolfe, WG Macready, M Ranjbar, MM Nevisi US Patent 11,481,669, 2022 | 1 | 2022 |
| Discrete variational auto-encoder systems and methods for machine learning using adiabatic quantum computers J Rolfe US Patent App. 17/481,568, 2022 | 1 | 2022 |
Mohammad AminD-Wave System Inc. & Simon Fraser UniversityVerified email at dwavesys.com
