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Stephen Voinea
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Year
Learning with Group Invariant Features: A Kernel Perspective.
Y Mroueh, S Voinea, TA Poggio
Advances in neural information processing systems 28, 2015
442015
Online learning, stability, and stochastic gradient descent
T Poggio, S Voinea, L Rosasco
arXiv preprint arXiv:1105.4701, 2011
342011
A deep representation for invariance and music classification
C Zhang, G Evangelopoulos, S Voinea, L Rosasco, T Poggio
2014 IEEE international conference on acoustics, speech and signal …, 2014
312014
Discriminative template learning in group-convolutional networks for invariant speech representations.
C Zhang, S Voinea, G Evangelopoulos, L Rosasco, TA Poggio
INTERSPEECH, 3229-3233, 2015
192015
Word-level invariant representations from acoustic waveforms
S Voinea, C Zhang, G Evangelopoulos, L Rosasco, T Poggio
Fifteenth Annual Conference of the International Speech Communication …, 2014
162014
Phone classification by a hierarchy of invariant representation layers
C Zhang, S Voinea, G Evangelopoulos, L Rosasco, T Poggio
Fifteenth Annual Conference of the International Speech Communication …, 2014
82014
Learning an invariant speech representation
G Evangelopoulos, S Voinea, C Zhang, L Rosasco, T Poggio
arXiv preprint arXiv:1406.3884, 2014
52014
Discriminate-and-rectify encoders: learning from image transformation sets
A Tacchetti, S Voinea, G Evangelopoulos
arXiv preprint arXiv:1703.04775, 2017
22017
Trading robust representations for sample complexity through self-supervised visual experience
A Tacchetti, S Voinea, G Evangelopoulos
Advances in Neural Information Processing Systems 31, 2018
12018
Representation Learning from Orbit Sets for One-Shot Classification
A Tacchetti, S Voinea, G Evangelopoulos, T Poggio
2017 AAAI Spring Symposium Series, 2017
2017
Speech Representations based on a Theory for Learning Invariances
S Voinea, C Zhang, G Evangelopoulos, L Rosasco, T Poggio
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Articles 1–11