Alexander Neitz
Alexander Neitz
Max Planck Institute for Intelligent System
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A simulation-based architecture for smart cyber-physical systems
T Gabor, L Belzner, M Kiermeier, MT Beck, A Neitz
2016 IEEE international conference on autonomic computing (ICAC), 374-379, 2016
Learning explanations that are hard to vary
G Parascandolo*, A Neitz*, A Orvieto, L Gresele, B Schölkopf
ICLR 2021, 2021
CausalWorld: A robotic manipulation benchmark for causal structure and transfer learning
O Ahmed*, F Träuble*, A Goyal, A Neitz, Y Bengio, B Schölkopf, ...
ICLR 2021, 2021
Neural Symbolic Regression that Scales
L Biggio, T Bendinelli, A Neitz, A Lucchi, G Parascandolo
ICML 2021, 2021
Adaptive skip intervals: Temporal abstraction for recurrent dynamical models
A Neitz, G Parascandolo, S Bauer, B Schölkopf
NeurIPS 2018, 2018
Divide-and-conquer monte carlo tree search for goal-directed planning
G Parascandolo, L Buesing, J Merel, L Hasenclever, J Aslanides, ...
arXiv preprint arXiv:2004.11410, 2020
Direct advantage estimation
HR Pan, N Gürtler, A Neitz, B Schölkopf
Advances in Neural Information Processing Systems 35, 11869-11880, 2022
Discovering ordinary differential equations that govern time-series
S Becker, M Klein, A Neitz, G Parascandolo, N Kilbertus
arXiv preprint arXiv:2211.02830, 2022
A teacher-student framework to distill future trajectories
A Neitz, G Parascandolo, B Schölkopf
ICLR 2021, 0
Predicting Ordinary Differential Equations with Transformers
S Becker, M Klein, A Neitz, G Parascandolo, N Kilbertus
Risk-sensitivity in simulation based online planning
K Schmid, L Belzner, M Kiermeier, A Neitz, T Phan, T Gabor, C Linnhoff
KI 2018: Advances in Artificial Intelligence: 41st German Conference on AI …, 2018
Learning relational probabilistic action models for online planning with decision forests
L Belzner, A Neitz
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 248-253, 2016
Towards learning mechanistic models at the right level of abstraction
A Neitz
Universität Tübingen, 2023
Efficient Discovery of Dynamical Laws in Symbolic Form
S Becker, M Klein, A Neitz, G Parascandolo, N Kilbertus
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