All Publications


M. Nickel, Jiang, X., and Tresp, V., Reducing the Rank in Relational Factorization Models by Including Observable Patterns, in Advances in Neural Information Processing Systems 27, Curran Associates, Inc., 2014, pp. 1179–1187.
CBMM Funded


M. R. Dillon, Huang, Y., and Spelke, E. S., Core foundations of abstract geometry, Proceedings of National Academy of Sciences of the United States of America, vol. 110, no. 35, 2013.
CBMM Related
CBMM Funded
S. Villa, Rosasco, L., Poggio, T., Schölkopf, B., Luo, Z., and Vovk, V., On Learnability, Complexity and Stability, in Empirical Inference, Berlin, Heidelberg: Springer Berlin Heidelberg, 2013, pp. 59 - 69.PDF icon Author's Version (147.25 KB)
CBMM Related


G. D. Canas, Poggio, T., and Rosasco, L., Learning manifolds with k-means and k-flats, in Advances in Neural Information Processing Systems 25 (NIPS 2012), 2012.
CBMM Related