Quantum chemical accuracy from density functional approximations via machine learning M Bogojeski, L Vogt-Maranto, ME Tuckerman, KR Müller, K Burke Nature communications 11 (1), 1-11, 2020 | 298 | 2020 |
SE (3)-equivariant prediction of molecular wavefunctions and electronic densities O Unke, M Bogojeski, M Gastegger, M Geiger, T Smidt, KR Müller Advances in Neural Information Processing Systems 34, 14434-14447, 2021 | 98 | 2021 |
Real-time inference of word relevance from electroencephalogram and eye gaze MA Wenzel, M Bogojeski, B Blankertz Journal of neural engineering 14 (5), 056007, 2017 | 31 | 2017 |
Forecasting industrial aging processes with machine learning methods M Bogojeski, S Sauer, F Horn, KR Müller Computers & Chemical Engineering 144, 107123, 2021 | 28 | 2021 |
Efficient prediction of 3D electron densities using machine learning M Bogojeski, F Brockherde, L Vogt-Maranto, L Li, ME Tuckerman, K Burke, ... arXiv preprint arXiv:1811.06255, 2018 | 19 | 2018 |
Implicit relevance feedback from electroencephalography and eye tracking in image search JE Golenia, MA Wenzel, M Bogojeski, B Blankertz Journal of neural engineering 15 (2), 026002, 2018 | 19 | 2018 |
Density functionals with quantum chemical accuracy: from machine learning to molecular dynamics M Bogojeski, L Vogt-Maranto, ME Tuckerman, KR Mueller, K Burke preprint at 10, 2019 | 12 | 2019 |
Learning more expressive joint distributions in multimodal variational methods S Nedelkoski, M Bogojeski, O Kao Machine Learning, Optimization, and Data Science: 6th International …, 2020 | 7 | 2020 |
On sequent-type rejection calculi for many-valued logics M Bogojeski, H Tompits Reasoning: Games, Cognition, Logic; Urbanski, M., Skura, T., Łupkowski, P …, 2020 | 6 | 2020 |
Neural responses to abstract and linguistic stimuli with variable recognition latency MA Wenzel, C Moreira, IA Lungu, M Bogojeski, B Blankertz Symbiotic Interaction: 4th International Workshop, Symbiotic 2015, Berlin …, 2015 | 4 | 2015 |
A Machine Learning and Explainable AI Framework Tailored for Unbalanced Experimental Catalyst Discovery P Semnani, M Bogojeski, F Bley, Z Zhang, Q Wu, T Kneib, J Herrmann, ... arXiv preprint arXiv:2407.18935, 2024 | | 2024 |
Forecasting industrial aging processes with machine learning methods N Yakut, S Sauer, M Bogojeski, F Horn, K Mueller US Patent 11,860,617, 2024 | | 2024 |
Augmentation of multimodal time series data for training machine-learning models N Yakut, M Bogojeski, K Mueller US Patent App. 17/793,728, 2023 | | 2023 |
Machine learning for electronic structure M Bogojeski PQDT-Global, 2023 | | 2023 |