Rif A. Saurous
Rif A. Saurous
Other namesRyan Rifkin
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Cited by
Cited by
Natural tts synthesis by conditioning wavenet on mel spectrogram predictions
J Shen, R Pang, RJ Weiss, M Schuster, N Jaitly, Z Yang, Z Chen, Y Zhang, ...
2018 IEEE international conference on acoustics, speech and signal …, 2018
CNN architectures for large-scale audio classification
S Hershey, S Chaudhuri, DPW Ellis, JF Gemmeke, A Jansen, RC Moore, ...
2017 ieee international conference on acoustics, speech and signal …, 2017
Prediction of central nervous system embryonal tumour outcome based on gene expression
SL Pomeroy, P Tamayo, M Gaasenbeek, LM Sturla, M Angelo, ...
Nature 415 (6870), 436-442, 2002
Multiclass cancer diagnosis using tumor gene expression signatures
S Ramaswamy, P Tamayo, R Rifkin, S Mukherjee, CH Yeang, M Angelo, ...
Proceedings of the National Academy of Sciences 98 (26), 15149-15154, 2001
In defense of one-vs-all classification
R Rifkin, A Klautau
The Journal of Machine Learning Research 5, 101-141, 2004
Tacotron: Towards end-to-end speech synthesis
Y Wang, RJ Skerry-Ryan, D Stanton, Y Wu, RJ Weiss, N Jaitly, Z Yang, ...
arXiv preprint arXiv:1703.10135, 2017
Style tokens: Unsupervised style modeling, control and transfer in end-to-end speech synthesis
Y Wang, D Stanton, Y Zhang, RJS Ryan, E Battenberg, J Shor, Y Xiao, ...
International conference on machine learning, 5180-5189, 2018
Beyond the imitation game: Quantifying and extrapolating the capabilities of language models
A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ...
arXiv preprint arXiv:2206.04615, 2022
Towards end-to-end prosody transfer for expressive speech synthesis with tacotron
RJ Skerry-Ryan, E Battenberg, Y Xiao, Y Wang, D Stanton, J Shor, ...
international conference on machine learning, 4693-4702, 2018
Tensorflow distributions
JV Dillon, I Langmore, D Tran, E Brevdo, S Vasudevan, D Moore, B Patton, ...
arXiv preprint arXiv:1711.10604, 2017
Fixing a broken ELBO
A Alemi, B Poole, I Fischer, J Dillon, RA Saurous, K Murphy
International conference on machine learning, 159-168, 2018
Regularized least-squares classification
R Rifkin, G Yeo, T Poggio
Nato Science Series Sub Series III Computer and Systems Sciences 190, 131-154, 2003
Voicefilter: Targeted voice separation by speaker-conditioned spectrogram masking
Q Wang, H Muckenhirn, K Wilson, P Sridhar, Z Wu, J Hershey, ...
arXiv preprint arXiv:1810.04826, 2018
Molecular classification of multiple tumor types
CH Yeang, S Ramaswamy, P Tamayo, S Mukherjee, RM Rifkin, M Angelo, ...
ISMB (Supplement of Bioinformatics) 2001, 316-322, 2001
General conditions for predictivity in learning theory
T Poggio, R Rifkin, S Mukherjee, P Niyogi
Nature 428 (6981), 419-422, 2004
Estimating dataset size requirements for classifying DNA microarray data
S Mukherjee, P Tamayo, S Rogers, R Rifkin, A Engle, C Campbell, ...
Journal of computational biology 10 (2), 119-142, 2003
Everything old is new again: a fresh look at historical approaches in machine learning
RM Rifkin
MaSSachuSettS InStitute of Technology, 2002
Learning theory: stability is sufficient for generalization and necessary and sufficient for consistency of empirical risk minimization
S Mukherjee, P Niyogi, T Poggio, R Rifkin
Advances in Computational Mathematics 25, 161-193, 2006
Deep probabilistic programming
D Tran, MD Hoffman, RA Saurous, E Brevdo, K Murphy, DM Blei
arXiv preprint arXiv:1701.03757, 2017
Improving multiclass text classification with the support vector machine
JDM Rennie, R Rifkin
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Articles 1–20