| Learning with Group Invariant Features: A Kernel Perspective. Y Mroueh, S Voinea, TA Poggio Advances in neural information processing systems 28, 2015 | 45 | 2015 |
| Online learning, stability, and stochastic gradient descent T Poggio, S Voinea, L Rosasco arXiv preprint arXiv:1105.4701, 2011 | 34 | 2011 |
| 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 | 33 | 2014 |
| 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 | 21 | 2015 |
| 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 | 16 | 2014 |
| Phone classification by a hierarchy of invariant representation layers. C Zhang, S Voinea, G Evangelopoulos, L Rosasco, TA Poggio INTERSPEECH, 2346-2350, 2014 | 8 | 2014 |
| Learning an invariant speech representation G Evangelopoulos, S Voinea, C Zhang, L Rosasco, T Poggio arXiv preprint arXiv:1406.3884, 2014 | 6 | 2014 |
| Discriminate-and-rectify encoders: learning from image transformation sets A Tacchetti, S Voinea, G Evangelopoulos arXiv preprint arXiv:1703.04775, 2017 | 2 | 2017 |
| 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 | 1 | 2018 |
| 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 | | |