Articoli con mandati relativi all'accesso pubblico - Bernhard SchölkopfUlteriori informazioni
TotaleDFGBMBFEuropean CommissionSNSFNIHNSFNSERCEPSRCGoverno ItalianoNASAUK Research & InnovationDoDARCHelmholtzNWOResearch Grants Council, Hong KongLeibniz AssociationMRCSTFCHFSPNSFCFraunhofer-GesellschaftVolkswagen FoundationVillum FoundationAcademy of Medical Sciences, UKFWFBBSRCANRTUBITAKCarlsberg Foundation DKJST
Non disponibili pubblicamente: 6
On estimation of functional causal models: general results and application to the post-nonlinear causal model
K Zhang, Z Wang, J Zhang, B Schölkopf
ACM Transactions on Intelligent Systems and Technology (TIST) 7 (2), 1-22, 2015
Mandati: Research Grants Council, Hong Kong
Causal discovery via reproducing kernel Hilbert space embeddings
Z Chen, K Zhang, L Chan, B Schölkopf
Neural computation 26 (7), 1484-1517, 2014
Mandati: Research Grants Council, Hong Kong
The effect of patient positioning aids on PET quantification in PET/MR imaging
F Mantlik, M Hofmann, MK Werner, A Sauter, J Kupferschläger, ...
European journal of nuclear medicine and molecular imaging 38, 920-929, 2011
Mandati: German Research Foundation
Quantification of intratumoural heterogeneity in mice and patients via machine-learning models trained on PET–MRI data
P Katiyar, J Schwenck, L Frauenfeld, MR Divine, V Agrawal, U Kohlhofer, ...
Nature Biomedical Engineering 7 (8), 1014-1027, 2023
Mandati: German Research Foundation, European Commission
Foundations and new horizons for causal inference
N Meinshausen, J Peters, TS Richardson, B Schölkopf
Oberwolfach Reports 16 (2), 1499-1571, 2020
Mandati: US National Science Foundation
Glare Removal for Astronomical Images with High Local Dynamic Range
MO Van Bastelaer, H Kremer, V Volchkov, JC Passy, B Schölkopf
2023 IEEE International Conference on Computational Photography (ICCP), 1-11, 2023
Mandati: German Research Foundation
Disponibili pubblicamente: 184
A kernel two-sample test
A Gretton, KM Borgwardt, MJ Rasch, B Schölkopf, A Smola
The Journal of Machine Learning Research 13 (1), 723-773, 2012
Mandati: Austrian Science Fund
Large scale multiple kernel learning
S Sonnenburg, G Rätsch, C Schäfer, B Schölkopf
The Journal of Machine Learning Research 7, 1531-1565, 2006
Mandati: German Research Foundation
Inferring causation from time series in Earth system sciences
J Runge, S Bathiany, E Bollt, G Camps-Valls, D Coumou, E Deyle, ...
Nature communications 10 (1), 2553, 2019
Mandati: US National Science Foundation, Swiss National Science Foundation, US …
Distinguishing cause from effect using observational data: methods and benchmarks
JM Mooij, J Peters, D Janzing, J Zscheischler, B Schölkopf
Journal of Machine Learning Research 17 (32), 1-102, 2016
Mandati: Netherlands Organisation for Scientific Research
Domain adaptation with conditional transferable components
M Gong, K Zhang, T Liu, D Tao, C Glymour, B Schölkopf
International conference on machine learning, 2839-2848, 2016
Mandati: US National Institutes of Health, Australian Research Council
Algorithmic recourse: from counterfactual explanations to interventions
AH Karimi, B Schölkopf, I Valera
Proceedings of the 2021 ACM conference on fairness, accountability, and …, 2021
Mandati: Natural Sciences and Engineering Research Council of Canada
Information-geometric approach to inferring causal directions
D Janzing, J Mooij, K Zhang, J Lemeire, J Zscheischler, P Daniušis, ...
Artificial Intelligence 182, 1-31, 2012
Mandati: German Research Foundation
MRI-based attenuation correction for whole-body PET/MRI: quantitative evaluation of segmentation-and atlas-based methods
M Hofmann, I Bezrukov, F Mantlik, P Aschoff, F Steinke, T Beyer, ...
Journal of Nuclear Medicine 52 (9), 1392-1399, 2011
Mandati: German Research Foundation
Self-supervised learning with data augmentations provably isolates content from style
J Von Kügelgen, Y Sharma, L Gresele, W Brendel, B Schölkopf, ...
Advances in neural information processing systems 34, 16451-16467, 2021
Mandati: German Research Foundation, Federal Ministry of Education and Research, Germany
On the fairness of disentangled representations
F Locatello, G Abbati, T Rainforth, S Bauer, B Schölkopf, O Bachem
Advances in neural information processing systems 32, 2019
Mandati: UK Engineering and Physical Sciences Research Council, European Commission
Causal discovery from heterogeneous/nonstationary data
B Huang, K Zhang, J Zhang, J Ramsey, R Sanchez-Romero, C Glymour, ...
Journal of Machine Learning Research 21 (89), 1-53, 2020
Mandati: US Department of Defense, US National Institutes of Health, Research Grants …
Transition from the locked in to the completely locked-in state: a physiological analysis
AR Murguialday, J Hill, M Bensch, S Martens, S Halder, F Nijboer, ...
Clinical Neurophysiology 122 (5), 925-933, 2011
Mandati: German Research Foundation
Real-time gravitational wave science with neural posterior estimation
M Dax, SR Green, J Gair, JH Macke, A Buonanno, B Schölkopf
Physical review letters 127 (24), 241103, 2021
Mandati: US National Science Foundation, Australian Research Council, UK Science and …
Interpolated policy gradient: Merging on-policy and off-policy gradient estimation for deep reinforcement learning
SS Gu, T Lillicrap, RE Turner, Z Ghahramani, B Schölkopf, S Levine
Advances in neural information processing systems 30, 2017
Mandati: Natural Sciences and Engineering Research Council of Canada
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