Michael Bronstein - Selected Publications#

P. Gainza, F. Sverrisson, F. Monti, E. Rodolà, D. Boscaini, M. M. Bronstein, B. E. Correia, Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning, Nature Methods 17:184–192(2020)

L. Cosmo, M. Panine, A. Rampini, M. Ovsjanikov, M. M. Bronstein, E. Rodolà, Isospectralization, or how to hear shape, style, and correspondence, Proc. CVPR (2019)

Y. Wang, Y. Sun, Z. Liu, S. E. Sarma, M. M. Bronstein, J. M. Solomon, Dynamic graph CNN for learning on point clouds, ACM Trans. Graphics 38(5):1-12 (2019)

F. Monti, M. M. Bronstein, X. Bresson, Geometric matrix completion with recurrent multi-graph neural networks, Proc. NIPS (2018)

M. M. Bronstein, J. Bruna, Y. LeCun, A. Szlam, P. Vandergheynst, Geometric deep learning: going beyond Euclidean data, IEEE Signal Processing Magazine 34(4):18-42 (2017)

F. Monti, D. Boscaini, J. Masci, E. Rodolà, J. Svoboda, M. M. Bronstein, Geometric deep learning on graphs and manifolds using mixture model CNNs, Proc. CVPR (2017)

E. Rodolà, L. Cosmo, M. M. Bronstein, A. Torsello, D. Cremers, Partial functional correspondence, Computer Graphics Forum 36(1):222-236 (2017)

A. M. Bronstein, M. M. Bronstein, R. Kimmel, Numerical geometry of non-rigid shapes, Springer Verlag (2008)

A. M. Bronstein, M. M. Bronstein, R. Kimmel, Generalized multidimensional scaling: a framework for isometry-invariant partial surface matching, PNAS 103(5):1168-1172 (2006)

A. M. Bronstein, M. M. Bronstein, R. Kimmel, Three-dimensional face recognition, Int. J. Computer Vision, 64(1):5-30 (2005)