Biblio

Filters: Author is Rosasco, L.  [Clear All Filters]
2017
Mutch J., Anselmi F., Tacchetti A., Rosasco L., Leibo J., Poggio T..  2017.  Invariant Recognition Predicts Tuning of Neurons in Sensory Cortex. Computational and Cognitive Neuroscience of Vision. :85-104.
Poggio T., Mhaskar H, Rosasco L., Miranda B., Liao Q..  2017.  Why and when can deep-but not shallow-networks avoid the curse of dimensionality: A review. International Journal of Automation and Computing. :1-17.
2016
Poggio T., Nickel M., Rosasco L..  2016.  Holographic Embeddings of Knowledge Graphs. Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16).
Poggio T., Rosasco L., Anselmi F..  2016.  On invariance and selectivity in representation learning. Information and Inference: A Journal of the IMA. :iaw009.
Poggio T., Mhaskar H., Rosasco L., Miranda B., Liao Q..  2016.  Why and When Can Deep - but Not Shallow - Networks Avoid the Curse of Dimensionality: a Review.
2015
Anselmi F., Rosasco L., Tan C., Poggio T..  2015.  Deep Convolutional Networks are Hierarchical Kernel Machines.
Nickel M., Rosasco L., Poggio T..  2015.  "Holographic Embeddings of Knowledge Graphs”.
Anselmi F., Rosasco L., Poggio T..  2015.  On Invariance and Selectivity in Representation Learning.
2014
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.
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.