Tommaso Furlanello

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Anima AnandkumarCalifornia Institute of Technology and NVIDIAVerified email at caltech.edu
Zachary C. LiptonProfessor of Machine Learning at Carnegie Mellon; CTO / CSO at AbridgeVerified email at cmu.edu
Laurent IttiProfessor of Computer Science, University of Southern CaliforniaVerified email at usc.edu
Michael TschannenGoogle DeepMindVerified email at google.com
Jean KossaifiSenior Research Scientist at NVIDIAVerified email at nvidia.com
Aran KhannaArchera.ai, Harvard University, Amazon AIVerified email at arankhanna.com
Yang ShiRakuten Institute of TechnologyVerified email at uci.edu
Bosco TjanProfessor of Psychology, University of Southern CaliforniaVerified email at usc.edu
Jiaping ZhaoUniversity of Southern CaliforniaVerified email at usc.edu
Andrew SaxeProfessor, Gatsby Unit & Sainsbury Wellcome Centre, UCLVerified email at ucl.ac.uk
Amy ZhangAssistant Professor of Electrical and Computer Engineering at University of Texas at AustinVerified email at austin.utexas.edu
Joelle PineauSchool of Computer Science, McGill University; FAIR, Meta AI; MilaVerified email at cs.mcgill.ca
Kamyar AzizzadenesheliNvidiaVerified email at nvidia.com
Luis PinedaResearch Engineer, Facebook AI ResearchVerified email at fb.com
Giuseppe JurmanFondazione Bruno Kessler, Trento, ItalyVerified email at fbk.eu
Cesare FurlanelloHK3 Lab (Rovereto, Italy) & LIGHT Center (Brescia, Italy)Verified email at hk3lab.ai

Tommaso Furlanello

Leading Science at HK3 Lab

Verified email at usc.edu - Homepage

Deep Learning Long Term Memory Neuroscience


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Born again neural networks T Furlanello, ZC Lipton, M Tschannen, L Itti, A Anandkumar International Conference on Machine Learning (ICML) 2018, 2018	986	2018
Tensor regression networks J Kossaifi, ZC Lipton, A Kolbeinsson, A Khanna, T Furlanello, ... Journal of Machine Learning Research 21, 1-21, 2020	145	2020
Tensor contraction layers for parsimonious deep nets J Kossaifi, A Khanna, Z Lipton, T Furlanello, A Anandkumar Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017	55	2017
Question Type Guided Attention in Visual Question Answering Y Shi, T Furlanello, S Zha, A Anandkumar Proceedings of the European Conference on Computer Vision (ECCV), 151-166, 2018	52	2018
Active Long Term Memory Networks T Furlanello, J Zhao, AM Saxe, L Itti, BS Tjan arXiv preprint arXiv:1606.02355, 2016	48	2016
Learning Causal State Representations of Partially Observable Environments A Zhang, ZC Lipton, L Pineda, K Azizzadenesheli, A Anandkumar, L Itti, ... arXiv preprint arXiv:1906.10437, 2019	45	2019
Rapid adaptation of brain–computer interfaces to new neuronal ensembles or participants via generative modelling S Wen, A Yin, T Furlanello, MG Perich, LE Miller, L Itti Nature Biomedical Engineering, 1-13, 2021	25	2021
Sparse Predictive Structure of Deconvolved Functional Brain Networks T Furlanello, M Cristoforetti, C Furlanello, G Jurman arXiv preprint arXiv:1310.6547, 2013	4	2013
Compact Tensor Pooling for Visual Question Answering Y Shi, T Furlanello, A Anandkumar arXiv preprint arXiv:1706.06706, 2017	1	2017
Entropy Dynamics of Community Alignment in the Italian Parliament Time-Dependent Network G Lami, M Cristoforetti, G Jurman, C Furlanello, T Furlanello arXiv preprint arXiv:1411.0827, 2014	1	2014
Practice changes the hippocampal-neocortical communication N Chen, T Furlanello, B Tjan Journal of Vision 17 (10), 1072-1072, 2017		2017

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