Aran Nayebi

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	Toate	Din 2020
Referințe bibliografice	2375	2064
h-index	20	19
i10-index	22	20

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Daniel YaminsAssociate Professor of Computer Science and of Psychology, Stanford UniversityAdresă de e-mail confirmată pe stanford.edu
Surya GanguliAssociate Professor, Stanford UniversityAdresă de e-mail confirmată pe stanford.edu
James J DiCarloMassachusetts Institute of TechnologyAdresă de e-mail confirmată pe mit.edu
Daniel BearStanford UniversityAdresă de e-mail confirmată pe stanford.edu
Jonas KubiliusSenior researcher @ Jones!Lab / EMBL / Vilnius UniversityAdresă de e-mail confirmată pe gmc.vu.lt
Martin SchrimpfEPFLAdresă de e-mail confirmată pe epfl.ch
Lane Thomas McIntoshSenior Staff Machine Learning Scientist, Tesla AIAdresă de e-mail confirmată pe tesla.com
Kohitij KãrAssistant Professor (Canada Research Chair), York University, TorontoAdresă de e-mail confirmată pe mit.edu
Niru MaheswaranathanMeta Reality LabsAdresă de e-mail confirmată pe fb.com
Stephen BaccusProfessor of Neurobiology, Stanford UniversityAdresă de e-mail confirmată pe stanford.edu
Chengxu ZhuangPostdoc Fellow, MITAdresă de e-mail confirmată pe mit.edu
Rishi RajalinghamMITAdresă de e-mail confirmată pe mit.edu
Javier Sagastuy-BrenaStanford UniversityAdresă de e-mail confirmată pe stanford.edu
Pouya BashivanMcGill university, MilaAdresă de e-mail confirmată pe mcgill.ca
Ha HongChief AI Officer at Medtronic EndoscopyAdresă de e-mail confirmată pe mit.edu
Kailyn SchmidtMITAdresă de e-mail confirmată pe mit.edu
Najib Judeh MajajNew York UniversityAdresă de e-mail confirmată pe nyu.edu
Elias B. IssaAssistant Professor, Columbia UniversityAdresă de e-mail confirmată pe columbia.edu
Joshua MelanderPhD Student, Stanford UniversityAdresă de e-mail confirmată pe stanford.edu
David SussilloMeta Reality Labs and Adjunct Professor @ StanfordAdresă de e-mail confirmată pe stanford.edu

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Aran Nayebi

Assistant Professor of Machine Learning, Carnegie Mellon University (CMU)

Adresă de e-mail confirmată pe cs.cmu.edu - Pagina de pornire

Computational Neuroscience Artificial Intelligence Deep Learning Machine Learning


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
Unsupervised neural network models of the ventral visual stream C Zhuang, S Yan, A Nayebi, M Schrimpf, MC Frank, JJ DiCarlo, ... Proceedings of the National Academy of Sciences 118 (3), e2014196118, 2021	420	2021
Brain-like object recognition with high-performing shallow recurrent ANNs J Kubilius, M Schrimpf, K Kar, R Rajalingham, H Hong, N Majaj, E Issa, ... Advances in neural information processing systems 32, 2019	319	2019
Deep Learning Models of the Retinal Response to Natural Scenes L McIntosh, N Maheswaranathan, A Nayebi, S Ganguli, S Baccus Advances in Neural Information Processing Systems (NIPS 2016) 29, 1369--1377, 2016	308	2016
Brain-like object recognition with high-performing shallow recurrent ANNs J Kubilius, M Schrimpf, K Kar, R Rajalingham, H Hong, N Majaj, E Issa, ... Advances in neural information processing systems 32, 2019	192*	2019
Task-driven convolutional recurrent models of the visual system A Nayebi, D Bear, J Kubilius, K Kar, S Ganguli, D Sussillo, JJ DiCarlo, ... Advances in neural information processing systems 31, 2018	188	2018
Biologically inspired protection of deep networks from adversarial attacks A Nayebi, S Ganguli arXiv preprint arXiv:1703.09202, 2017	136	2017
Interpreting the retinal neural code for natural scenes: From computations to neurons N Maheswaranathan, LT McIntosh, H Tanaka, S Grant, DB Kastner, ... Neuron 111 (17), 2742-2755. e4, 2023	95*	2023
Learning physical graph representations from visual scenes D Bear, C Fan, D Mrowca, Y Li, S Alter, A Nayebi, J Schwartz, LF Fei-Fei, ... Advances in Neural Information Processing Systems 33, 6027-6039, 2020	95	2020
From deep learning to mechanistic understanding in neuroscience: the structure of retinal prediction H Tanaka, A Nayebi, N Maheswaranathan, L McIntosh, S Baccus, ... Advances in neural information processing systems 32, 2019	84	2019
Gruv: Algorithmic music generation using recurrent neural networks A Nayebi, M Vitelli Course CS224D: deep learning for natural language processing (Stanford) 52, 2015	73	2015
Recurrent connections in the primate ventral visual stream mediate a trade-off between task performance and network size during core object recognition A Nayebi, J Sagastuy-Brena, DM Bear, K Kar, J Kubilius, S Ganguli, ... Neural Computation 34 (8), 1652-1675, 2022	61*	2022
Mouse visual cortex as a limited resource system that self-learns an ecologically-general representation A Nayebi, NCL Kong, C Zhuang, JL Gardner, AM Norcia, DLK Yamins PLOS Computational Biology 19 (10), e1011506, 2023	52*	2023
Carma: A deep reinforcement learning approach to autonomous driving M Vitelli, A Nayebi Tech. rep. Stanford University, Tech. Rep., 2016	45	2016
Explaining heterogeneity in medial entorhinal cortex with task-driven neural networks A Nayebi, A Attinger, M Campbell, K Hardcastle, I Low, CS Mallory, G Mel, ... Advances in Neural Information Processing Systems 34, 12167-12179, 2021	43	2021
Two routes to scalable credit assignment without weight symmetry D Kunin, A Nayebi, J Sagastuy-Brena, S Ganguli, J Bloom, D Yamins International Conference on Machine Learning, 5511-5521, 2020	42	2020
Identifying learning rules from neural network observables A Nayebi, S Srivastava, S Ganguli, DL Yamins Advances in Neural Information Processing Systems 33, 2639-2650, 2020	35	2020
Quantum lower bound for inverting a permutation with advice A Nayebi, S Aaronson, A Belovs, L Trevisan arXiv preprint arXiv:1408.3193, 2014	30	2014
Neural foundations of mental simulation: Future prediction of latent representations on dynamic scenes A Nayebi, R Rajalingham, M Jazayeri, GR Yang Advances in Neural Information Processing Systems 36, 70548-70561, 2023	23	2023
Advances in neural information processing systems L McIntosh, N Maheswaranathan, A Nayebi, S Ganguli, S Baccus, D Lee, ... Curran, Red Hook, NY 29, 1369-1377, 2016	23	2016
Distinct in vivo dynamics of excitatory synapses onto cortical pyramidal neurons and parvalbumin-positive interneurons JB Melander, A Nayebi, BC Jongbloets, DA Fortin, M Qin, S Ganguli, ... Cell reports 37 (6), 2021	21*	2021

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