Biblio

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2014
Poggio T..  2014.  Is Research in Intelligence an Existential Risk?
Poggio T, Rosasco L, Evangelopoulos G, Zhang C, Voinea S.  2014.  Speech Representations based on a Theory for Learning Invariances. SANE 2014 - Speech and Audio in the Northeast.
Leibo JZ, Liao Q, Poggio T.  2014.  Subtasks of Unconstrained Face Recognition. 9th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. (VISAPP).
Poggio T, Leibo JZ, Liao Q.  2014.  Unsupervised learning of clutter-resistant visual representations from natural videos..
Anselmi F., Leibo J.Z., Rosasco L., Mutch J., Tacchetti A., Poggio T..  2014.  Unsupervised learning of invariant representations with low sample complexity: the magic of sensory cortex or a new framework for machine learning? Theoretical Computer Science.
Gao T., Harari D., Tenenbaum J.B., Ullman S..  2014.  “When Computer Vision Gazes at Cognition".
Voinea S., Zhang C., Evangelopoulos G., Rosasco L., Poggio T..  2014.  Word-level Invariant Representations From Acoustic Waveforms. INTERSPEECH 2014 - 15th Annual Conf. of the International Speech Communication Association.
2013
Liao Q, Leibo JZ, Mroueh Y, Poggio T.  2013.  Can a biologically-plausible hierarchy effectively replace face detection, alignment, and recognition pipelines?
Ni Y, Frogner C, Poggio T.  2013.  Computer Science and Artificial Intelligence Laboratory Technical Report.
Kim H, Wohlwend J, Leibo JZ, Poggio T.  2013.  Computer Science and Artificial Intelligence Laboratory Technical Report.
Poggio T, Mutch J, Anselmi F, tacchetti A, Rosasco L, Leibo JZ.  2013.  Does invariant recognition predict tuning of neurons in sensory cortex?
Tan C, Poggio T.  2013.  Faces as a "Model Category" for Visual Object Recognition.
tacchetti A, Mallapragada P, Santoro M, Rosasco L.  2013.  GURLS: a Least Squares Library for Supervised Learning.
Villa S, Rosasco L, Poggio T.  2013.  On Learnability, Complexity and Stability.
Liao Q, Leibo JZ, Poggio T.  2013.  Learning invariant representations and applications to face verification.
Poggio T, Serre T.  2013.  Models of visual cortex.
Meyers E.  2013.  The neural decoding toolbox.
Mroueh Y, Rosasco L.  2013.  q-ary Compressive Sensing.
Anselmi F, Leibo JZ, Rosasco L, Mutch J, tacchetti A, Poggio T.  2013.  Unsupervised Learning of Invariant Representations in Hierarchical Architectures.
Anselmi F, Leibo JZ, Rosasco L, Mutch J, tacchetti A, Poggio T.  2013.  Unsupervised Learning of Invariant Representations in Hierarchical Architectures.
Poggio T, Ullman S.  2013.  Vision: are models of object recognition catching up with the brain?

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