| Tractable Dendritic RNNs for Reconstructing Nonlinear Dynamical Systems M Brenner, F Hess, JM Mikhaeil, LF Bereska, Z Monfared, PC Kuo, ... 39th International Conference on Machine Learning (ICML 2022), 2292-2320, 2022 | 20 | 2022 |
| Generalized Teacher Forcing for Learning Chaotic Dynamics F Hess, Z Monfared, M Brenner, D Durstewitz 40th International Conference on Machine Learning (ICML 2023) 202, 13017-13049, 2023 | 9 | 2023 |
| Integrating Multimodal Data for Joint Generative Modeling of Complex Dynamics M Brenner, F Hess, G Koppe, D Durstewitz 41st International Conference on Machine Learning (ICML 2024), 0 | 6* | |
| Out-of-Domain Generalization in Dynamical Systems Reconstruction N Göring, F Hess, M Brenner, Z Monfared, D Durstewitz 41st International Conference on Machine Learning (ICML 2024), 2024 | 1 | 2024 |
| Optimal Recurrent Network Topologies for Dynamical Systems Reconstruction CJ Hemmer, M Brenner, F Hess, D Durstewitz 41st International Conference on Machine Learning (ICML 2024), 2024 | | 2024 |
| MTLComb: Multi-task learning combing regression and classification tasks with biomarker identification–an application to sepsis H Cao, S Rajan, B Hahn, M Brenner, F Hess, HA Lindner, D Durstewitz, ... Journal of Critical Care 81, 154548, 2024 | | 2024 |
| Strategies, processes, outcomes, and costs of implementing experience sampling-based monitoring in routine mental health care in four European countries: study protocol for the … U Reininghaus, M Schwannauer, I Barne, JR Beames, RA Bonnier, ... BMC Psychiatry 24 (465), 2024 | | 2024 |
| Symmetries, GUTs and Complete Networks M Brenner | | |
Daniel DurstewitzProfessor for Theoretical Neuroscience, CIMH/ Heidelberg University在 zi-mannheim.de 的电子邮件经过验证
