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Tacchetti A, Isik L, Poggio TA. (2018) Invariant Recognition Shapes Neural Representations of Visual Input. Annual Review of Vision Science |
Isik L, Tacchetti A, Poggio TA. (2017) A fast, invariant representation for human action in the visual system. Journal of Neurophysiology. jn.00642.2017 |
Tan C, Poggio T. (2016) Neural Tuning Size in a Model of Primate Visual Processing Accounts for Three Key Markers of Holistic Face Processing. Plos One. 11: e0150980 |
Isik L, Meyers EM, Leibo JZ, et al. (2014) The dynamics of invariant object recognition in the human visual system. Journal of Neurophysiology. 111: 91-102 |
Zhang C, Evangelopoulos G, Voinea S, et al. (2014) A deep representation for invariance and music classification Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 6984-6988 |
Anselmi F, Leibo JZ, Rosasco L, et al. (2014) Unsupervised learning of invariant representations Theoretical Computer Science |
Voinea S, Zhang C, Evangelopoulos G, et al. (2014) Word-level invariant representations from acoustic waveforms Proceedings of the Annual Conference of the International Speech Communication Association, Interspeech. 2385-2389 |
Zhang C, Voinea S, Evangelopoulos G, et al. (2014) Phone classification by a hierarchy of invariant representation layers Proceedings of the Annual Conference of the International Speech Communication Association, Interspeech. 2346-2350 |
Leibo JZ, Liao Q, Poggio T. (2014) Subtasks of unconstrained face recognition Visapp 2014 - Proceedings of the 9th International Conference On Computer Vision Theory and Applications. 2: 113-121 |
Poggio T, Ullman S. (2013) Vision: are models of object recognition catching up with the brain? Annals of the New York Academy of Sciences. 1305: 72-82 |