Alexander Neitz

19 papers A* 7Misc 2Journal 9Unranked 1

Year	Rank	Type	Title / Venue / Authors
2023	A*	`conf`	Predicting Ordinary Differential Equations with Transformers. ICML Sören Becker, Michal Klein, Alexander Neitz, Giambattista Parascandolo, Niki Kilbertus
2023	J	`jnl`	Predicting Ordinary Differential Equations with Transformers. CoRR Sören Becker, Michal Klein, Alexander Neitz, Giambattista Parascandolo, Niki Kilbertus
2023	J	`jnl`	Vision-Language Models as a Source of Rewards. CoRR 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
2022	A*	`conf`	Direct Advantage Estimation. NeurIPS Hsiao-Ru Pan, Nico Gürtler, Alexander Neitz, Bernhard Schölkopf
2022	J	`jnl`	Discovering ordinary differential equations that govern time-series. CoRR Sören Becker, Michal Klein, Alexander Neitz, Giambattista Parascandolo, Niki Kilbertus
2021	A*	`conf`	A teacher-student framework to distill future trajectories. ICLR Alexander Neitz, Giambattista Parascandolo, Bernhard Schölkopf
2021	A*	`conf`	CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning. ICLR Ossama Ahmed, Frederik Träuble, Anirudh Goyal, Alexander Neitz, Manuel Wuthrich, Yoshua Bengio, Bernhard Schölkopf, Stefan Bauer
2021	J	`jnl`	Direct Advantage Estimation. CoRR Hsiao-Ru Pan, Nico Gürtler, Alexander Neitz, Bernhard Schölkopf
2021	A*	`conf`	Learning explanations that are hard to vary. ICLR Giambattista Parascandolo, Alexander Neitz, Antonio Orvieto, Luigi Gresele, Bernhard Schölkopf
2021	J	`jnl`	Neural Symbolic Regression that Scales. CoRR Luca Biggio, Tommaso Bendinelli, Alexander Neitz, Aurélien Lucchi, Giambattista Parascandolo
2021	A*	`conf`	Neural Symbolic Regression that scales. ICML Luca Biggio, Tommaso Bendinelli, Alexander Neitz, Aurélien Lucchi, Giambattista Parascandolo
2020	J	`jnl`	CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning. CoRR Ossama Ahmed, Frederik Träuble, Anirudh Goyal, Alexander Neitz, Manuel Wüthrich, Yoshua Bengio, Bernhard Schölkopf, Stefan Bauer
2020	J	`jnl`	Divide-and-Conquer Monte Carlo Tree Search For Goal-Directed Planning. CoRR Giambattista Parascandolo, Lars Buesing, Josh Merel, Leonard Hasenclever, John Aslanides, Jessica B. Hamrick, Nicolas Heess, Alexander Neitz, Theophane Weber
2020	J	`jnl`	Learning explanations that are hard to vary. CoRR Giambattista Parascandolo, Alexander Neitz, Antonio Orvieto, Luigi Gresele, Bernhard Schölkopf
2018	A*	`conf`	Adaptive Skip Intervals: Temporal Abstraction for Recurrent Dynamical Models. NeurIPS Alexander Neitz, Giambattista Parascandolo, Stefan Bauer, Bernhard Schölkopf
2018	J	`jnl`	Adaptive Skip Intervals: Temporal Abstraction for Recurrent Dynamical Models. CoRR Alexander Neitz, Giambattista Parascandolo, Stefan Bauer, Bernhard Schölkopf
2018	Misc	`conf`	Risk-Sensitivity in Simulation Based Online Planning. KI Kyrill Schmid, Lenz Belzner, Marie Kiermeier, Alexander Neitz, Thomy Phan, Thomas Gabor, Claudia Linnhoff
2016	—	`conf`	A Simulation-Based Architecture for Smart Cyber-Physical Systems. ICAC Thomas Gabor, Lenz Belzner, Marie Kiermeier, Michael Till Beck, Alexander Neitz
2016	Misc	`conf`	Learning relational probabilistic action models for online planning with decision forests. SAC Lenz Belzner, Alexander Neitz