Jason Tyler Rolfe
Jason Tyler Rolfe
Principal machine learning researcher, D-Wave Systems
Verified email at alum.mit.edu
Title
Cited by
Cited by
Year
Quantum boltzmann machine
MH Amin, E Andriyash, J Rolfe, B Kulchytskyy, R Melko
Physical Review X 8 (2), 021050, 2018
2302018
Understanding deep architectures using a recursive convolutional network
D Eigen, J Rolfe, R Fergus, Y LeCun
arXiv preprint arXiv:1312.1847, 2013
1202013
Discrete variational autoencoders
JT Rolfe
arXiv preprint arXiv:1609.02200, 2016
1022016
Discriminative recurrent sparse auto-encoders
JT Rolfe, Y LeCun
arXiv preprint arXiv:1301.3775, 2013
742013
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
242016
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
122017
Systems and methods for creating and using quantum boltzmann machines
MHS Amin, E Andriyash, J Rolfe
US Patent App. 15/766,755, 2018
52018
Discrete variational auto-encoder systems and methods for machine learning using adiabatic quantum computers
J Rolfe
US Patent App. 15/753,666, 2018
42018
The cortex as a graphical model
J Rolfe
Master's thesis, Computation and Neural Systems, California Institute of …, 2006
42006
Systems and methods for machine learning
WG Macready, F Hamze, FA Chudak, M Ranjbar, JR Raymond, JT Rolfe
US Patent 10,817,796, 2020
32020
All smiles variational autoencoder
Z Alperstein, A Cherkasov, JT Rolfe
arXiv preprint arXiv:1905.13343, 2019
22019
Multifactor expectation maximization for factor graphs
JT Rolfe, M Cook
International Conference on Artificial Neural Networks, 267-276, 2010
22010
Discrete variational auto-encoder systems and methods for machine learning using adiabatic quantum computers
J Rolfe, WG Macready, Z Bian, FA Chudak
US Patent App. 15/725,600, 2018
12018
Predicting Images using Convolutional Networks: Visual Scene Understanding with Pixel Maps
D Eigen
New York University, 2015
12015
Intrinsic gradient networks
JT Rolfe
California Institute of Technology, 2012
12012
Systems and methods for machine learning using adiabatic quantum computers
J Rolfe, D Korenkevych, M Ranjbar, JR Raymond, WG Macready
US Patent App. 15/753,661, 2020
2020
Systems and methods for training generative machine learning models with sparse latent spaces
JT Rolfe, SA Saberali, WG Macready
US Patent App. 16/562,192, 2020
2020
All SMILES Variational Autoencoder for Molecular Property Prediction and Optimization
Z Alperstein, A Cherkasov, J Rolfe
2019
Systems and methods for generative machine learning
JT Rolfe, KJ Kreis
US Patent App. 16/270,273, 2019
2019
Sampling from an analog processor
F Hamze, J King, E Andriyash, C McGeoch, J Raymond, J Rolfe, ...
US Patent App. 15/399,461, 2017
2017
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