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Alexander Neitz
Alexander Neitz
Max Planck Institute for Intelligent System
Verified email at tuebingen.mpg.de
Title
Cited by
Cited by
Year
Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ...
arXiv preprint arXiv:2312.11805, 2023
3482023
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
3142016
Learning explanations that are hard to vary
G Parascandolo*, A Neitz*, A Orvieto, L Gresele, B Schölkopf
ICLR 2021, 2021
1442021
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
1182021
Neural Symbolic Regression that Scales
L Biggio, T Bendinelli, A Neitz, A Lucchi, G Parascandolo
ICML 2021, 2021
1102021
Adaptive skip intervals: Temporal abstraction for recurrent dynamical models
A Neitz, G Parascandolo, S Bauer, B Schölkopf
NeurIPS 2018, 2018
382018
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
312020
Direct advantage estimation
HR Pan, N Gürtler, A Neitz, B Schölkopf
Advances in Neural Information Processing Systems 35, 11869-11880, 2022
112022
Discovering ordinary differential equations that govern time-series
S Becker, M Klein, A Neitz, G Parascandolo, N Kilbertus
arXiv preprint arXiv:2211.02830, 2022
62022
Neural symbolic regression that scales (2021)
L Biggio, T Bendinelli, A Neitz, A Lucchi, G Parascandolo
arXiv preprint arXiv:2106.06427, 0
6
Predicting ordinary differential equations with transformers
S Becker, M Klein, A Neitz, G Parascandolo, N Kilbertus
International Conference on Machine Learning, 1978-2002, 2023
52023
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
M Reid, N Savinov, D Teplyashin, D Lepikhin, T Lillicrap, J Alayrac, ...
arXiv preprint arXiv:2403.05530, 2024
32024
A teacher-student framework to distill future trajectories
A Neitz, G Parascandolo, B Schölkopf
ICLR 2021, 0
2*
Vision-language models as a source of rewards
K Baumli, S Baveja, F Behbahani, H Chan, G Comanici, S Flennerhag, ...
arXiv preprint arXiv:2312.09187, 2023
12023
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
12018
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
12016
Towards learning mechanistic models at the right level of abstraction
A Neitz
Universität Tübingen, 2023
2023
Efficient Discovery of Dynamical Laws in Symbolic Form
S Becker, M Klein, A Neitz, G Parascandolo, N Kilbertus
2022
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