Fabian Sinz

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Andreas ToliasStanford UniversityVerifisert e-postadresse på stanford.edu
Alexander S. EckerUniversity of Göttingen, GermanyVerifisert e-postadresse på cs.uni-goettingen.de
Matthias BethgeTübingen University & Maddox Co-FounderVerifisert e-postadresse på bethgelab.org
Jacob ReimerAssistant Professor, Baylor College of MedicineVerifisert e-postadresse på bcm.edu
Edgar Y. WalkerWeill Neurohub Assistant Professor, Physiology & Biophysics, Computational Neuroscience CenterVerifisert e-postadresse på uw.edu
Taliah MuhammadBaylor College of MedicineVerifisert e-postadresse på bcm.edu
Emmanouil Froudarakis, Ph.D.Assistant Professor of Neurophysiology, UoCVerifisert e-postadresse på imbb.forth.gr
Erick CobosMax Planck Institute for Intelligent SystemsVerifisert e-postadresse på tuebingen.mpg.de
Xaq PitkowAssociate Professor of Computational Neuroscience, Carnegie Mellon UniversityVerifisert e-postadresse på rice.edu
Konstantin F. WillekeUniversity of TuebingenVerifisert e-postadresse på uni-tuebingen.de
Philipp BerensHertie Institute for AI in Brain Health, University of TübingenVerifisert e-postadresse på uni-tuebingen.de
R. James CottonNorthwestern University / Shirley Ryan AbilityLabVerifisert e-postadresse på northwestern.edu
Xiaolong JiangBaylor College of MedicineVerifisert e-postadresse på bcm.edu
Santiago A. CadenaML Research @Proxima Fusion | University of TübingenVerifisert e-postadresse på proximafusion.com
Cathryn CadwellAssistant Professor, University of California San FranciscoVerifisert e-postadresse på ucsf.edu
Leon BottouFacebook AI ResearchVerifisert e-postadresse på bottou.org
Jason WestonMetaVerifisert e-postadresse på fb.com
Ronan CollobertMachine Learning Research, AppleVerifisert e-postadresse på apple.com
Dimitri YatsenkoDataJoint Inc.Verifisert e-postadresse på datajoint.com
Katrin FrankeSenior Research Scientist, Stanford School of Medicine, CA, USVerifisert e-postadresse på stanford.edu

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Fabian Sinz

Professor for Machine Learning, University Göttingen

Verifisert e-postadresse på cs.uni-goettingen.de - Startside

computational neuroscience computational vision statistics machine learning neuroscience


Tittel Sorter etter sitater Sorter etter år Sorter etter tittel	Sitert av Sitert av	År
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	912	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	450	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	252	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	229	2019
Engineering a less artificial intelligence FH Sinz, X Pitkow, J Reimer, M Bethge, AS Tolias Neuron 103 (6), 967-979, 2019	206	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	204	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	173	2021
Evaluating predictive uncertainty challenge J Quinonero-Candela, CE Rasmussen, F Sinz, O Bousquet, B Schölkopf Machine Learning Challenges Workshop, 1-27, 2005	167	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	66	2018
Learning depth from stereo F Sinz, J Candela, G Bakır, C Rasmussen, M Franz 26th DAGM Symposium, 245-252, 2004	66	2004
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	65	2019
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
Towards robust vision by multi-task learning on monkey visual cortex S Safarani, A Nix, K Willeke, S Cadena, K Restivo, G Denfield, A Tolias, ... Advances in Neural Information Processing Systems 34, 739-751, 2021	51	2021

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