Alexander Neitz

According to our database, Alexander Neitz authored at least 13 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Vision-Language Models as a Source of Rewards.

Kate Baumli, Satinder Baveja, Feryal M. P. Behbahani, Harris Chan, Gheorghe Comanici, Sebastian Flennerhag, Maxime Gazeau, Kristian Holsheimer, Dan Horgan, Michael Laskin, Clare Lyle, Hussain Masoom, Kay McKinney, Volodymyr Mnih, Alexander Neitz, Fabio Pardo, Jack Parker-Holder, John Quan, Tim Rocktäschel, Himanshu Sahni, Tom Schaul, Yannick Schroecker, Stephen Spencer, Richie Steigerwald, Luyu Wang, Lei Zhang

CoRR, 2023

Predicting Ordinary Differential Equations with Transformers.

Sören Becker, Michal Klein, Alexander Neitz, Giambattista Parascandolo, Niki Kilbertus

Proceedings of the International Conference on Machine Learning, 2023

2022

Discovering ordinary differential equations that govern time-series.

Sören Becker, Michal Klein, Alexander Neitz, Giambattista Parascandolo, Niki Kilbertus

CoRR, 2022

Direct Advantage Estimation.

Hsiao-Ru Pan, Nico Gürtler, Alexander Neitz, Bernhard Schölkopf

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Neural Symbolic Regression that scales.

Luca Biggio, Tommaso Bendinelli, Alexander Neitz, Aurélien Lucchi, Giambattista Parascandolo

Proceedings of the 38th International Conference on Machine Learning, 2021

Learning explanations that are hard to vary.

Giambattista Parascandolo, Alexander Neitz, Antonio Orvieto, Luigi Gresele, Bernhard Schölkopf

Proceedings of the 9th International Conference on Learning Representations, 2021

A teacher-student framework to distill future trajectories.

Alexander Neitz, Giambattista Parascandolo, Bernhard Schölkopf

Proceedings of the 9th International Conference on Learning Representations, 2021

CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning.

Ossama Ahmed, Frederik Träuble, Anirudh Goyal, Alexander Neitz, Manuel Wuthrich, Yoshua Bengio, Bernhard Schölkopf, Stefan Bauer

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Divide-and-Conquer Monte Carlo Tree Search For Goal-Directed Planning.

Giambattista Parascandolo, Lars Buesing, Josh Merel, Leonard Hasenclever, John Aslanides, Jessica B. Hamrick, Nicolas Heess, Alexander Neitz, Theophane Weber

CoRR, 2020

2018

Adaptive Skip Intervals: Temporal Abstraction for Recurrent Dynamical Models.

Alexander Neitz, Giambattista Parascandolo, Stefan Bauer, Bernhard Schölkopf

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Risk-Sensitivity in Simulation Based Online Planning.

Kyrill Schmid, Lenz Belzner, Marie Kiermeier, Alexander Neitz, Thomy Phan, Thomas Gabor, Claudia Linnhoff

Proceedings of the KI 2018: Advances in Artificial Intelligence, 2018

2016

Learning relational probabilistic action models for online planning with decision forests.

Lenz Belzner, Alexander Neitz

Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

A Simulation-Based Architecture for Smart Cyber-Physical Systems.

Thomas Gabor, Lenz Belzner, Marie Kiermeier, Michael Till Beck, Alexander Neitz

Proceedings of the 2016 IEEE International Conference on Autonomic Computing, 2016