Tommaso Furlanello 个人学术档案

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	总计	2019 年至今
引用	1542	1461
h 指数	7	7
i10 指数	7	7

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Anima AnandkumarCalifornia Institute of Technology and NVIDIA在 caltech.edu 的电子邮件经过验证
Zachary C. LiptonRaj Reddy Associate Professor of Machine Learning @ Carnegie Mellon University; CTO + CSO @ Abridge在 cmu.edu 的电子邮件经过验证
Laurent IttiProfessor of Computer Science, University of Southern California在 usc.edu 的电子邮件经过验证
Michael TschannenGoogle DeepMind在 google.com 的电子邮件经过验证
Jean KossaifiSenior Research Scientist at NVIDIA在 nvidia.com 的电子邮件经过验证
Aran KhannaArchera.ai, Harvard University, Amazon AI在 arankhanna.com 的电子邮件经过验证
Yang ShiRakuten Institute of Technology在 uci.edu 的电子邮件经过验证
Amy ZhangAssistant Professor of Electrical and Computer Engineering at University of Texas at Austin在 austin.utexas.edu 的电子邮件经过验证
Joelle PineauSchool of Computer Science, McGill University; FAIR, Meta AI; Mila在 cs.mcgill.ca 的电子邮件经过验证
Kamyar AzizzadenesheliNvidia在 nvidia.com 的电子邮件经过验证
Luis PinedaResearch Engineer, Facebook AI Research在 fb.com 的电子邮件经过验证
Bosco TjanProfessor of Psychology, University of Southern California在 usc.edu 的电子邮件经过验证
Jiaping ZhaoUniversity of Southern California在 usc.edu 的电子邮件经过验证
Andrew SaxeProfessor, Gatsby Unit & Sainsbury Wellcome Centre, UCL在 ucl.ac.uk 的电子邮件经过验证
Giuseppe JurmanFondazione Bruno Kessler, Trento, Italy在 fbk.eu 的电子邮件经过验证
Cesare FurlanelloHK3 Lab (Rovereto, Italy) & LIGHT Center (Brescia, Italy)在 hk3lab.ai 的电子邮件经过验证

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Tommaso Furlanello

Leading Science at HK3 Lab

在 usc.edu 的电子邮件经过验证 - 首页

Deep Learning Long Term Memory Neuroscience


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Born again neural networks T Furlanello, ZC Lipton, M Tschannen, L Itti, A Anandkumar International Conference on Machine Learning (ICML) 2018, 2018	1118	2018
Tensor regression networks J Kossaifi, ZC Lipton, A Kolbeinsson, A Khanna, T Furlanello, ... Journal of Machine Learning Research 21 (123), 1-21, 2020	165	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	61	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	57	2018
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	52	2019
Active Long Term Memory Networks T Furlanello, J Zhao, AM Saxe, L Itti, BS Tjan arXiv preprint arXiv:1606.02355, 2016	51	2016
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 7 (4), 546-558, 2023	32	2023
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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