Fabio Anselmi

Anselmi Fabio

email: anselmi [at] mit [dot] edu
Google Scholar Profile
Center for Brain Minds and Machines

I am a research associate in the the LCSL, a joint lab between MIT and the Istituto Italiano di Tecnologia, leaded by Lorenzo Rosasco. I am also part of Tomaso Poggio lab at MIT and part of the Center for Brains, Minds, and Machines.

The investigation of learning as a computational process plays a fundamental role in machine learning and computational neuroscience where it is arguably considered to be the key for understanding intelligence. My current research focuses on computational aspects of learning in particular sample-efficient representation learning and deep learning. I have been also looking into the connections to biologically grounded networks and analogies to how humans learn to recognize objects.
Below some of my publications, see also my resume.


Neuroscience, Machine Learning

  • F. Anselmi, G. Evangelopulos L. Rosasco and T. Poggio , Symmetry regularization. (Submitted to Pattern Recognition, 2018).
  • Leibo JZ, Liao Q, Freiwald WA, Anselmi F, Poggio T. View-tolerant face recognition and Hebbian learning imply mirror-symmetric neural tuning to head orientation. Current Biology Volume 27, Issue 1, p.6267, 9 January 2017.
  • F. Anselmi, L. Rosasco, T. Poggio. On Invariance and Selectivity in Representation Learning. Information and Inference, Volume 5, Issue 2, 134-158, 2016.
  • F. Anselmi, Joel Z Leibo, L. Rosasco, J. Mutch, A. Tacchetti, T. Poggio. Unsupervised Learning of Invariant Representations. Theoretical Computer Science, 663, 112-121, 2016.
  • Joel Z. Leibo , Q. Liao , F. Anselmi, T. Poggio. The invariance hypothesis implies domain-specific regions in visual cortex. Plos Computational Biology, http://dx.doi.org/10.1371/journal.pcbi.1004390, 2015.
  • Notes on Hierarchical Splines, DCLNs and i-theory, T Poggio, L Rosasco, A Shashua, N Cohen, F Anselmi 2015.
  • Deep Convolutional Networks are Hierarchical Kernel Machines, F Anselmi, L Rosasco, C Tan, T Poggio,2015.
  • Representation Learning in Sensory Cortex: a theory , F. Anselmi and Poggio, T. 2014.
  • Does invariant recognition predict tuning of neurons in sensory cortex? Poggio T, Mutch J, Anselmi F, Tacchetti A, Rosasco R, Leibo J. 2013
  • Unsupervised learning of invariant representations in hierarchical architectures. Anselmi F, Joel L, Rosasco L, Mutch J, Tacchetti A, Poggio T. 2013
  • The computational magic of the ventral stream: sketch of a theory (and why some deep architectures work),T. Poggio, J. Mutch, F. Anselmi, L. Rosasco, J.Z. Leibo, A. Tacchetti . CSAIL Technical Report , 2012.

    Books and book chapters

  • T. Poggio and F. Anselmi. A Theory of Invariant Learning for the visual cortex. Book, MIT press September 2016.
  • Invariant Recognition Predicts Tuning of Neurons in Sensory Cortex, Jim Mutch, Fabio Anselmi, Andrea Tacchetti, Lorenzo Rosasco, Joel Z. Leibo and Tomaso Poggio Book Chapter in "Computational and Cognitive Neuroscience of Vision", in press.

    2p-microscopy and Immunology

  • M.W. Chiuhui, P. Cristina, F. Anselmi, A. Sarukhan, A. Viola Adenosine triphosphate acts as a paracrine signaling molecule to reduce the motility of T cells The EMBO Journal 17;33(12):1354-64, 2014.
  • M. Kallikourdis, A. E. Trovato, F. Anselmi, A. Sarukhan, G. Roselli, L. Tassone, R. Badolato, A. Viola. The CXCR4 mutations in WHIM syndrome impair the stability of the T-cell immunologic synapse. Blood, 21;122(5):666-73, 2013.
  • R.L. Contento, S. Campello, A.E. Trovato, E. Magrini, F. Anselmi, A. Viola. Adhesion shapes T cells for prompt and sustained T cell receptor signaling. EMBO J 1,29(23):4035-47, 2010.

    Biophysics of inner ear

  • L. Rodriguez, E. Simeonato, P. Scimemi, F. Anselmi, B. Cali, G. Crispino, C.D. Ciubotaru, M. Bortolozzi, F.G. Ramirez, P. Majumder, E. Arslan, P. De Camilli, T. Pozzan, F. Mammano. Reduced phosphatidylinositol 4,5-bisphosphate synthesis impairs inner ear calcium signaling and high-frequency hearing acquisition. Proc. Natl. Acad. Sci U S A. Aug 28; 109 (35):14013-8, 2012.
  • F. Mammano, F. Anselmi. Inner ear connexins, intercellular signalling and deafness. Audiological Medicine 00:1-6, 2009.
  • F. Anselmi, S. Ortolano, A. Seydel, N. Kessaris, W. Richardson, H. Monyer, F. Mammano. Dual role for inner ear connexins: adenosine 5'-triphosphate release and intercellular transfer of Calcium mobilizing second messengers. Proc. Natl. Acad. Sci U S A. Dec 2;105 (48):18770-5, 2008
  • S. Ortolano, G. Di Pasquale, G. Crispino, F. Anselmi, F. Mammano, J. Chiorini. Coordinated control of connexin 26 and connexin 30 at the regulatory and functional level in the inner ear. Proc. Natl. Acad. Sci U S A. Dec 2;105 (48):18776-81, 2008.
  • F. Mammano, M. Bortolozzi, S. Ortolano and F. Anselmi. Calcium signaling in the inner ear. Physiology; 22: 131-144, 2007.

    Quantum information and computation

  • J.A. Vaccaro, F. Anselmi , H.M. Wiseman and K. Jakobs. Complementarity between mechanical work, quantum logical processing and quantum reference system ability for arbitrary superselection rules. Phys. Rev. A 77, 032114, 2008.
  • F. Anselmi, A. Chefles, M.B. Plenio. Local copying of orthogonal entangled quantum states. New. J. Phys., Vol. 6, p. 164, 2004.
  • J.A. Vaccaro, F. Anselmi, H.M. Wiseman. Entanglement of identical particles and reference phase uncertainty. International Journal of Quantum Information Vol. 1, No. 4,427-441, 2003.

    Number theory

  • M. Planat, F. Anselmi, P. Sole'. Pauli graphs, Riemann hypothesis, Goldbach pairs. Theoretical and Mathematical Physics, Volume 171, Issue 3, pp 780-791, 2012.