Mihail Bogojeski
Title
Cited by
Cited by
Year
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
292020
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
222017
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
11*2019
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
112018
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
82018
Neural responses to abstract and linguistic stimuli with variable recognition latency
MA Wenzel, C Moreira, IA Lungu, M Bogojeski, B Blankertz
International Workshop on Symbiotic Interaction, 172-178, 2015
52015
Forecasting industrial aging processes with machine learning methods
M Bogojeski, S Sauer, F Horn, KR Müller
Computers & Chemical Engineering 144, 107123, 2021
22021
On Sequent-Type Rejection Calculi for Many-Valued Logics
M Bogojeski, H Tompits
Reasoning: Games, Cognition, Logic; Urbanski, M., Skura, T., Łupkowski, P …, 2020
22020
Learning more expressive joint distributions in multimodal variational methods
S Nedelkoski, M Bogojeski, O Kao
International Conference on Machine Learning, Optimization, and Data Science …, 2020
12020
SE (3)-equivariant prediction of molecular wavefunctions and electronic densities
OT Unke, M Bogojeski, M Gastegger, M Geiger, T Smidt, KR Müller
arXiv preprint arXiv:2106.02347, 2021
2021
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Articles 1–10