Sebastian Weichwald

Navedeno

	Vse	Od leta 2020
Navedbe	1083	934
indeks h	13	11
indeks i10	14	12

300

150

225

201520162017201820192020202120222023202420253 22 30 35 57 83 115 165 218 293 59

Javni dostop

Prikaži vse

11 člankov

0 člankov

na voljo

ni na voljo

Na podlagi zahtev v povezavi s financiranjem

Soavtorji

Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHPreverjeni e-poštni naslov na tuebingen.mpg.de
Moritz Grosse-WentrupUniversity of ViennaPreverjeni e-poštni naslov na univie.ac.at
Alexander G. ReisachUniversité Paris CitéPreverjeni e-poštni naslov na u-paris.fr
Christof SeilerMaastricht University / University Hospital Zurich / University of ZurichPreverjeni e-poštni naslov na usz.ch
Niklas KoepRWTH Aachen UniversityPreverjeni e-poštni naslov na rwth-aachen.de
Jonas PetersProfessor of Statistics, ETH ZurichPreverjeni e-poštni naslov na stat.math.ethz.ch
James TownsendUniversity of AmsterdamPreverjeni e-poštni naslov na uva.nl
Ozan ÖzdenizciMontanuniversität LeobenPreverjeni e-poštni naslov na unileoben.ac.at
Joris M. MooijProfessor in Mathematical Statistics, Korteweg-de Vries Institute, University of Amsterdam (NL)Preverjeni e-poštni naslov na uva.nl
Paul K RubensteinGoogle DeepMindPreverjeni e-poštni naslov na google.com
Dominik JanzingAmazon Development Center, TuebingenPreverjeni e-poštni naslov na amazon.com
Stephan BongersPostdoctoral Researcher, Delft University of TechnologyPreverjeni e-poštni naslov na uva.nl
Niklas PfisterAssociate Professor, University of CopenhagenPreverjeni e-poštni naslov na math.ku.dk
Nikolaj ThamsPhD studentPreverjeni e-poštni naslov na math.ku.dk
Antoine ChambazProfessor of Statistics, MAP5 (UMR CNRS 8145), Université de ParisPreverjeni e-poštni naslov na u-paris.fr
Peter BühlmannProfessor of Statistics and Mathematics, ETH ZurichPreverjeni e-poštni naslov na stat.math.ethz.ch
Tami Myriamenseignante-chercheuse en statistical learning, Université Paris Saclay, CentraleSupélecPreverjeni e-poštni naslov na centralesupelec.fr
Gherardo VarandoUniversitat de ValènciaPreverjeni e-poštni naslov na uv.es
Martin Emil JakobsenUniversity of CopenhagenPreverjeni e-poštni naslov na math.ku.dk
Phillip B MogensenPh.D. student in statisticsPreverjeni e-poštni naslov na math.ku.dk

Spremljaj

Sebastian Weichwald

University of Copenhagen / formerly Max Planck Institute for Intelligent Systems, ETH Zurich

Preverjeni e-poštni naslov na math.ku.dk - Domača stran


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
Pymanopt: A Python Toolbox for Optimization on Manifolds using Automatic Differentiation J Townsend, N Koep, S Weichwald Journal of Machine Learning Research 17 (137), 1-5, 2016	340	2016
Beware of the Simulated DAG! Causal Discovery Benchmarks May Be Easy to Game AG Reisach, C Seiler, S Weichwald Advances in Neural Information Processing Systems 34, 2021	187*	2021
Causal Consistency of Structural Equation Models PK Rubenstein, S Weichwald, S Bongers, JM Mooij, D Janzing, ... Conference on Uncertainty in Artificial Intelligence (UAI), 2017	138	2017
Causal interpretation rules for encoding and decoding models in neuroimaging S Weichwald, T Meyer, O Özdenizci, B Schölkopf, T Ball, ... NeuroImage 110, 48-59, 2015	125	2015
Causality in Cognitive Neuroscience: Concepts, Challenges, and Distributional Robustness S Weichwald, J Peters Journal of Cognitive Neuroscience, 1-21, 2020	53	2020
Causal structure learning from time series: Large regression coefficients may predict causal links better in practice than small p-values S Weichwald, ME Jakobsen, PB Mogensen, L Petersen, N Thams, ... Proceedings of the NeurIPS 2019 Competition and Demonstration Track …, 2020	40	2020
Compositional abstraction error and a category of causal models EF Rischel, S Weichwald Uncertainty in Artificial Intelligence, 1013-1023, 2021	31	2021
A Scale-Invariant Sorting Criterion to Find a Causal Order in Additive Noise Models AG Reisach, M Tami, C Seiler, A Chambaz, S Weichwald Advances in Neural Information Processing Systems 36, 2023	24*	2023
Robustifying Independent Component Analysis by Adjusting for Group-Wise Stationary Noise N Pfister, S Weichwald, P Bühlmann, B Schölkopf Journal of Machine Learning Research 20 (147), 1-50, 2019	24	2019
Improving 1-year mortality prediction in ACS patients using machine learning S Weichwald, A Candreva, R Burkholz, R Klingenberg, L Räber, D Heg, ... European Heart Journal Acute Cardiovascular Care 10 (8), 855-865, 2021	19	2021
Identifying Causal Eﬀects using Instrumental Time Series: Nuisance IV and Correcting for the Past N Thams, R Søndergaard, S Weichwald, J Peters Journal of Machine Learning Research 25 (302), 1-51, 2024	17	2024
Absence of EEG correlates of self-referential processing depth in ALS. T Fomina, S Weichwald, M Synofzik, J Just, L Schöls, B Schölkopf, ... PloS one 12 (6), e0180136, 2017	15	2017
Causal and anti-causal learning in pattern recognition for neuroimaging S Weichwald, B Schölkopf, T Ball, M Grosse-Wentrup Pattern Recognition in Neuroimaging, 2014 International Workshop on, 1-4, 2014	15	2014
Personalized Brain-Computer Interface Models for Motor Rehabilitation AA Mastakouri, S Weichwald, O Özdenizci, T Meyer, B Schölkopf, ... Proceedings of the IEEE International Conference on Systems, Man, and …, 2017	11	2017
Learning by Doing: Controlling a Dynamical System using Causality, Control, and Reinforcement Learning S Weichwald, SW Mogensen, TE Lee, D Baumann, O Kroemer, I Guyon, ... NeurIPS 2021 Competitions and Demonstrations Track, 246-258, 2022	9	2022
Decoding index finger position from EEG using random forests S Weichwald, T Meyer, B Schölkopf, T Ball, M Grosse-Wentrup Cognitive Information Processing (CIP), 2014 4th International Workshop on, 1-6, 2014	8	2014
Adjustment Identification Distance: A gadjid for Causal Structure Learning L Henckel, T Würtzen, S Weichwald Uncertainty in Artificial Intelligence, 1569-1598, 2024	6	2024
MERLiN: Mixture Effect Recovery in Linear Networks S Weichwald, M Grosse-Wentrup, A Gretton IEEE Journal of Selected Topics in Signal Processing 10 (7), 1254-1266, 2016	6	2016
Recovery of non-linear cause-effect relationships from linearly mixed neuroimaging data S Weichwald, A Gretton, B Scholkopf, M Grosse-Wentrup 2016 International Workshop on Pattern Recognition in Neuroimaging (PRNI), 1-4, 2016	5	2016
Pragmatism and Variable Transformations in Causal Modelling S Weichwald ETH Zurich, 2019	4	2019

Sistem trenutno ne more izvesti postopka. Poskusite znova pozneje.

Članki 1–20

Št. navedb na leto

Podvojene navedbe

Združene navedbe

Dodajanje soavtorjevSoavtorji

Spremljaj

Navedeno

Soavtorji