Fabian Sinz

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Andreas ToliasStanford UniversityEmail yang diverifikasi di stanford.edu
Alexander S. EckerUniversity of Göttingen, GermanyEmail yang diverifikasi di cs.uni-goettingen.de
Matthias BethgeTübingen University & Maddox Co-FounderEmail yang diverifikasi di bethgelab.org
Jacob ReimerAssistant Professor, Baylor College of MedicineEmail yang diverifikasi di bcm.edu
Edgar Y. WalkerWeill Neurohub Assistant Professor, Physiology & Biophysics, Computational Neuroscience CenterEmail yang diverifikasi di uw.edu
Taliah MuhammadBaylor College of MedicineEmail yang diverifikasi di bcm.edu
Emmanouil Froudarakis, Ph.D.Assistant Professor of Neurophysiology, UoCEmail yang diverifikasi di imbb.forth.gr
Erick CobosMax Planck Institute for Intelligent SystemsEmail yang diverifikasi di tuebingen.mpg.de
Xaq PitkowAssociate Professor of Computational Neuroscience, Carnegie Mellon UniversityEmail yang diverifikasi di rice.edu
Konstantin F. WillekeUniversity of TuebingenEmail yang diverifikasi di uni-tuebingen.de
Philipp BerensHertie Institute for AI in Brain Health, University of TübingenEmail yang diverifikasi di uni-tuebingen.de
R. James CottonNorthwestern University / Shirley Ryan AbilityLabEmail yang diverifikasi di northwestern.edu
Xiaolong JiangBaylor College of MedicineEmail yang diverifikasi di bcm.edu
Santiago A. CadenaML Research @Proxima Fusion | University of TübingenEmail yang diverifikasi di proximafusion.com
Cathryn CadwellAssistant Professor, University of California San FranciscoEmail yang diverifikasi di ucsf.edu
Leon BottouFacebook AI ResearchEmail yang diverifikasi di bottou.org
Jason WestonMetaEmail yang diverifikasi di fb.com
Ronan CollobertMachine Learning Research, AppleEmail yang diverifikasi di apple.com
Dimitri YatsenkoDataJoint Inc.Email yang diverifikasi di datajoint.com
Katrin FrankeSenior Research Scientist, Stanford School of Medicine, CA, USEmail yang diverifikasi di stanford.edu

Ikuti

Fabian Sinz

Professor for Machine Learning, University Göttingen

Email yang diverifikasi di cs.uni-goettingen.de - Beranda

computational neuroscience computational vision statistics machine learning neuroscience


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
Principles of connectivity among morphologically defined cell types in adult neocortex X Jiang, S Shen, CR Cadwell, P Berens, F Sinz, AS Ecker, S Patel, ... Science 350 (6264), aac9462, 2015	916	2015
Large scale transductive SVMs. R Collobert, F Sinz, J Weston, L Bottou, T Joachims Journal of Machine Learning Research 7 (8), 2006	638	2006
Trading convexity for scalability R Collobert, F Sinz, J Weston, L Bottou Proceedings of the 23rd international conference on Machine learning, 201-208, 2006	451	2006
Inference with the universum J Weston, R Collobert, F Sinz, L Bottou, V Vapnik Proceedings of the 23rd international conference on Machine learning, 1009-1016, 2006	253	2006
Inception loops discover what excites neurons most using deep predictive models EY Walker, FH Sinz, E Cobos, T Muhammad, E Froudarakis, PG Fahey, ... Nature neuroscience 22 (12), 2060-2065, 2019	233	2019
Engineering a less artificial intelligence FH Sinz, X Pitkow, J Reimer, M Bethge, AS Tolias Neuron 103 (6), 967-979, 2019	208	2019
Population code in mouse V1 facilitates readout of natural scenes through increased sparseness E Froudarakis, P Berens, AS Ecker, RJ Cotton, FH Sinz, D Yatsenko, ... Nature neuroscience 17 (6), 851-857, 2014	205	2014
Functional connectomics spanning multiple areas of mouse visual cortex MICrONS Consortium, JA Bae, M Baptiste, CA Bishop, AL Bodor, ... BioRxiv, 2021.07. 28.454025, 2021	177	2021
Evaluating predictive uncertainty challenge J Quinonero-Candela, CE Rasmussen, F Sinz, O Bousquet, B Schölkopf Machine Learning Challenges Workshop, 1-27, 2005	169	2005
An analysis of inference with the universum FH Sinz, O Chapelle, A Agarwal, B Schölkopf Advances in Neural Information Processing Systems 20: 21st Annual Conference …, 2008	128*	2008
Normalizing the normalizers: Comparing and extending network normalization schemes M Ren, R Liao, R Urtasun, FH Sinz, RS Zemel arXiv preprint arXiv:1611.04520, 2016	111	2016
Alternative splicing substantially diversifies the transcriptome during early photomorphogenesis and correlates with the energy availability in Arabidopsis L Hartmann, P Drewe-Boß, T Wießner, G Wagner, S Geue, HC Lee, ... The Plant Cell 28 (11), 2715-2734, 2016	90	2016
DataJoint: managing big scientific data using MATLAB or Python D Yatsenko, J Reimer, AS Ecker, EY Walker, F Sinz, P Berens, ... BioRxiv, 031658, 2015	82	2015
Stimulus domain transfer in recurrent models for large scale cortical population prediction on video F Sinz, AS Ecker, P Fahey, E Walker, E Cobos, E Froudarakis, D Yatsenko, ... Advances in neural information processing systems 31, 2018	67	2018
Learning from brains how to regularize machines Z Li, W Brendel, E Walker, E Cobos, T Muhammad, J Reimer, M Bethge, ... Advances in neural information processing systems 32, 2019	66	2019
Learning depth from stereo F Sinz, J Candela, G Bakır, C Rasmussen, M Franz 26th DAGM Symposium, 245-252, 2004	66	2004
Natural image coding in V1: how much use is orientation selectivity? J Eichhorn, F Sinz, M Bethge PLoS computational biology 5 (4), e1000336, 2009	61	2009
A rotation-equivariant convolutional neural network model of primary visual cortex AS Ecker, FH Sinz, E Froudarakis, PG Fahey, SA Cadena, EY Walker, ... arXiv preprint arXiv:1809.10504, 2018	60	2018
State-dependent pupil dilation rapidly shifts visual feature selectivity K Franke, KF Willeke, K Ponder, M Galdamez, N Zhou, T Muhammad, ... Nature 610 (7930), 128-134, 2022	54	2022
Generalization in data-driven models of primary visual cortex KK Lurz, M Bashiri, K Willeke, AK Jagadish, E Wang, EY Walker, ... BioRxiv, 2020.10. 05.326256, 2020	52	2020

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