= PDF Reprint, = BibTeX entry, = Online Abstract
S. Wen, A. Yin, T. Furlanello, M. Perich, L. Miller, L. Itti, Rapid adaptation of brain-computer interfaces to new neuronal ensembles or participants via generative modelling, Nature Biomedical Engineering, Vol. 7, No. 4, pp. 546--558, Nature Publishing Group, 2023. [2021 impact factor: 25.671] (Cited by 38)
A. Zhang, Z. C. Lipton, L. Pineda, K. Azizzadenesheli, A. Anandkumar, L. Itti, L. Pineau, T. Furlanello, Learning causal state representations of partially observable environments, arXiv preprint arXiv:1906.10437, Jun 2019. [ArXiv Preprint] (Cited by 59)
T. Furlanello, Z. C. Lipton, M. Tschannen, L. Itti, A. Anandkumar, Born Again Neural Networks, In: Proceedings of the 35th International Conference on Machine Learning (ICML 2018), (Dy, Jennifer, Krause, Andreas Ed.), Vol. 80, pp. 1607-1616, Stockholmsmässan, Stockholm Sweden:PMLR, Mar 2018. [2018 acceptance rate: 25.1%] (Cited by 1246)
T. Furlanello, Z. C. Lipton, L. Itti, A. Anandkumar, Born Again Neural Networks, In: Metalearn 2017 NIPS workshop, pp. 1-5, Dec 2017. (Cited by 1246)
T. Furlanello, J. Zhao, A. M. Saxe, L. Itti, B. S. Tjan, Active Long Term Memory Networks, arXiv preprint arXiv:1606.02355, Aug 2016. [ArXiv Preprint] (Cited by 55)
Copyright © 2000-2007 by the University of Southern California, iLab and Prof. Laurent Itti.
This page generated by bibTOhtml on Mon Jan 13 03:04:22 PM PST 2025