001027036 001__ 1027036 001027036 005__ 20240729202031.0 001027036 037__ $$aFZJ-2024-03602 001027036 1001_ $$0P:(DE-Juel1)180150$$aFischer, Kirsten$$b0$$eCorresponding author$$ufzj 001027036 1112_ $$aYouth in High Dimensions$$cTrieste$$d2024-05-20 - 2024-05-24$$wItaly 001027036 245__ $$aCritical feature learning in deep neural networks 001027036 260__ $$c2024 001027036 3367_ $$033$$2EndNote$$aConference Paper 001027036 3367_ $$2BibTeX$$aINPROCEEDINGS 001027036 3367_ $$2DRIVER$$aconferenceObject 001027036 3367_ $$2ORCID$$aCONFERENCE_POSTER 001027036 3367_ $$2DataCite$$aOutput Types/Conference Poster 001027036 3367_ $$0PUB:(DE-HGF)24$$2PUB:(DE-HGF)$$aPoster$$bposter$$mposter$$s1722229837_21055$$xAfter Call 001027036 536__ $$0G:(DE-HGF)POF4-5232$$a5232 - Computational Principles (POF4-523)$$cPOF4-523$$fPOF IV$$x0 001027036 536__ $$0G:(DE-HGF)POF4-5234$$a5234 - Emerging NC Architectures (POF4-523)$$cPOF4-523$$fPOF IV$$x1 001027036 536__ $$0G:(DE-Juel-1)BMBF-01IS19077A$$aRenormalizedFlows - Transparent Deep Learning with Renormalized Flows (BMBF-01IS19077A)$$cBMBF-01IS19077A$$x2 001027036 536__ $$0G:(DE-Juel1)HGF-SMHB-2014-2018$$aMSNN - Theory of multi-scale neuronal networks (HGF-SMHB-2014-2018)$$cHGF-SMHB-2014-2018$$fMSNN$$x3 001027036 536__ $$0G:(DE-HGF)SO-092$$aACA - Advanced Computing Architectures (SO-092)$$cSO-092$$x4 001027036 7001_ $$0P:(DE-Juel1)185990$$aLindner, Javed$$b1$$eCorresponding author$$ufzj 001027036 7001_ $$0P:(DE-Juel1)156459$$aDahmen, David$$b2$$ufzj 001027036 7001_ $$0P:(DE-HGF)0$$aRingel, Zohar$$b3 001027036 7001_ $$0P:(DE-HGF)0$$aKrämer, Michael$$b4 001027036 7001_ $$0P:(DE-Juel1)144806$$aHelias, Moritz$$b5$$ufzj 001027036 909CO $$ooai:juser.fz-juelich.de:1027036$$pVDB 001027036 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)180150$$aForschungszentrum Jülich$$b0$$kFZJ 001027036 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)185990$$aForschungszentrum Jülich$$b1$$kFZJ 001027036 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)156459$$aForschungszentrum Jülich$$b2$$kFZJ 001027036 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-HGF)0$$aRWTH Aachen$$b4$$kRWTH 001027036 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)144806$$aForschungszentrum Jülich$$b5$$kFZJ 001027036 9131_ $$0G:(DE-HGF)POF4-523$$1G:(DE-HGF)POF4-520$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5232$$aDE-HGF$$bKey Technologies$$lNatural, Artificial and Cognitive Information Processing$$vNeuromorphic Computing and Network Dynamics$$x0 001027036 9131_ $$0G:(DE-HGF)POF4-523$$1G:(DE-HGF)POF4-520$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5234$$aDE-HGF$$bKey Technologies$$lNatural, Artificial and Cognitive Information Processing$$vNeuromorphic Computing and Network Dynamics$$x1 001027036 9141_ $$y2024 001027036 920__ $$lyes 001027036 9201_ $$0I:(DE-Juel1)IAS-6-20130828$$kIAS-6$$lComputational and Systems Neuroscience$$x0 001027036 980__ $$aposter 001027036 980__ $$aVDB 001027036 980__ $$aI:(DE-Juel1)IAS-6-20130828 001027036 980__ $$aUNRESTRICTED