All Publications

2015

F. Anselmi, Leibo, J. Z., Rosasco, L., Mutch, J., Tacchetti, A., and Poggio, T., “Unsupervised learning of invariant representations”, Theoretical Computer Science, 2015.
CBMM Related
CBMM Memo No.
035
F. Anselmi, Rosasco, L., Tan, C., and Poggio, T., “Deep Convolutional Networks are Hierarchical Kernel Machines”. 2015.PDF icon CBMM Memo 035_rev5.pdf (975.65 KB)
CBMM Funded
CBMM Memo No.
031
A. Yuille and Mottaghi, R., “Complexity of Representation and Inference in Compositional Models with Part Sharing”. 2015.PDF icon CBMM Memo 031.pdf (1.14 MB)
CBMM Funded
E. Meyers, Borzello, M., Freiwald, W. A., and Tsao, D., “Intelligent Information Loss: The Coding of Facial Identity, Head Pose, and Non-Face Information in the Macaque Face Patch System”, The Journal of Neuroscience , vol. 35, no. 18, 2015.
CBMM Funded
P. Henry Winston, “Model-based Story Summary”, in 6th Workshop on Computational Models of Narrative, Atlanta, Georgia, 2015.
CBMM Related
CBMM Memo No.
033
J. Mao, Xu, W., Yang, Y., Wang, J., Huang, Z., and Yuille, A., “Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN)”. 2015.PDF icon CBMM Memo 033.pdf (839.42 KB)
CBMM Funded
CBMM Memo No.
029
F. Anselmi, Rosasco, L., and Poggio, T., “On Invariance and Selectivity in Representation Learning”. 2015.PDF icon CBMM Memo No. 029 (812.07 KB)
CBMM Funded
CBMM Memo No.
028
M. Nickel, Murphy, K., Tresp, V., and Gabrilovich, E., “A Review of Relational Machine Learning for Knowledge Graphs: From Multi-Relational Link Prediction to Automated Knowledge Graph Construction”. 2015.PDF icon CBMM Memo No. 028 (878.56 KB)
CBMM Funded
CBMM Memo No.
037
T. Poggio, Rosasco, L., Shashua, A., Cohen, N., and Anselmi, F., “Notes on Hierarchical Splines, DCLNs and i-theory”. 2015.PDF icon CBMM Memo 037 (1.83 MB)
CBMM Funded
M. R. Dillon, Izard, V., and Spelke, E. S., “Isolating angle in infants' detection of shape”. 2015.PDF icon SRCD_2015_Dillonetal.pdf (5.01 MB)
CBMM Funded
M. R. Dillon and Spelke, E. S., “Young children’s automatic and alternating use of scene and object information in spatial symbols.”, in Budapest CEU Conference on Cognitive Development, 2015.
CBMM Related
M. R. Dillon and Spelke, E. S., “Reorientation ability predicts early spatial symbol reading”, in 2015 Society for Research in Child Development Biennial Meeting, 2015.
CBMM Related
E. Fetaya, Shamir, O., and Ullman, S., “Graph Approximation and Clustering on a Budget”, Artificial Intelligence and Statistics , vol. 38. 2015.PDF icon fetaya shamir Ullman 2015.pdf (664.26 KB)
CBMM Related
C. Frogner, Zhang, C., Mobahi, H., Araya-Polo, M., and Poggio, T., “Learning with a Wasserstein Loss”, in Advances in Neural Information Processing Systems (NIPS 2015) 28, 2015.PDF icon Learning with a Wasserstein Loss_1506.05439v2.pdf (2.57 MB)
CBMM Related
L. Isik, Tacchetti, A., and Poggio, T., “Invariant representations for action recognition in the visual system”, Computational and Systems Neuroscience. 2015.
CBMM Funded
C. Koch and Tononi, G., “Consciousness: here, there and everywhere?”, Phil. Trans. Roy Society B, vol. 370, 2015.PDF icon Tononi & Koch '15.pdf (1.87 MB)
CBMM Related
Y. Mroueh, Voinea, S., and Poggio, T., “Learning with Group Invariant Features: A Kernel Perspective”, in NIPS 2015, 2015.PDF icon LearningInvarianceKernel_NIPS2015.pdf (292.18 KB)
CBMM Related
L. Rosasco and Villa, S., “Learning with incremental iterative regularization”, in NIPS 2015, 2015.PDF icon Learning with Incremental Iterative Regularization_1405.0042v2.pdf (504.66 KB)
CBMM Related
A. Rudi, Camoriano, R., and Rosasco, L., “Less is More: Nyström Computational Regularization”, in NIPS 2015, 2015.PDF icon Less is More- Nystr ̈om Computational Regularization_1507.04717v4.pdf (287.14 KB)
CBMM Funded
A. Tacchetti, Isik, L., and Poggio, T., “Invariant representations for action recognition in the visual system.”, Vision Sciences Society, vol. 15, no. 12. Journal of vision, 2015.
CBMM Funded
J. Wu, Yildirim, I., Lim, J. J., Freeman, W. T., and Tenenbaum, J. B., “Galileo: Perceiving physical object properties by integrating a physics engine with deep learning.”, in NIPS 2015, Montréal, Canada, 2015.
CBMM Funded

2014

S. W. Linderman, Stock, C., and Adams, R., “A framework for studying synaptic plasticity with neural spike train data”, in Neural Information Processing Systems, 2014.PDF icon 5274-a-framework-for-studying-synaptic-plasticity-with-neural-spike-train-data.pdf (4.6 MB)
CBMM Related
T. Poggio, “Is Research in Intelligence an Existential Risk?”. 2014.PDF icon Is Research in Intelligence an Existential Risk.pdf (571.42 KB)
CBMM Funded
CBMM Memo No.
026
F. Anselmi and Poggio, T., “Representation Learning in Sensory Cortex: a theory.”. 2014.PDF icon CBMM-Memo-026_neuron_ver45.pdf (1.35 MB)
CBMM Funded
M. R. Dillon and Spelke, E. S., “Core geometry in perspective”, Developmental Science, 2014.
CBMM Related

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