A Simulation-Based Architecture for Smart Cyber-Physical Systems. - Thomas Gabor; Lenz Belzner; Marie Kiermeier; Michael Till Beck; Alexander Neitz (ICAC, 2016)

Learning relational probabilistic action models for online planning with decision forests. - Lenz Belzner; Alexander Neitz (SAC, 2016)

Risk-Sensitivity in Simulation Based Online Planning. - Kyrill Schmid; Lenz Belzner; Marie Kiermeier; Alexander Neitz; Thomy Phan; Thomas Gabor; Claudia Linnhoff (KI, 2018)

Adaptive Skip Intervals: Temporal Abstraction for Recurrent Dynamical Models. - Alexander Neitz; Giambattista Parascandolo; Stefan Bauer; Bernhard Schölkopf (NeurIPS, 2018)

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)

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 (ICLR, 2021)

A teacher-student framework to distill future trajectories. - Alexander Neitz; Giambattista Parascandolo; Bernhard Schölkopf (ICLR, 2021)

Learning explanations that are hard to vary. - Giambattista Parascandolo; Alexander Neitz; Antonio Orvieto; Luigi Gresele; Bernhard Schölkopf (ICLR, 2021)

Neural Symbolic Regression that scales. - Luca Biggio; Tommaso Bendinelli; Alexander Neitz; Aurélien Lucchi; Giambattista Parascandolo (ICML, 2021)

Direct Advantage Estimation. - Hsiao-Ru Pan; Nico Gürtler; Alexander Neitz; Bernhard Schölkopf (NeurIPS, 2022)

Discovering ordinary differential equations that govern time-series. - Sören Becker; Michal Klein; Alexander Neitz; Giambattista Parascandolo; Niki Kilbertus (CoRR, 2022)

Predicting Ordinary Differential Equations with Transformers. - Sören Becker; Michal Klein; Alexander Neitz; Giambattista Parascandolo; Niki Kilbertus (ICML, 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; et al. (CoRR, 2023)

OpenAI o1 System Card. - Aaron Jaech; Adam Kalai; Adam Lerer; Adam Richardson; Ahmed El-Kishky; Aiden Low; Alec Helyar; Aleksander Madry; Alex Beutel; Alex Carney; Alex Iftimie; Alex Karpenko; et al. (CoRR, 2024)

gpt-oss-120b & gpt-oss-20b Model Card. - Sandhini Agarwal; Lama Ahmad; Jason Ai; Sam Altman; Andy Applebaum; Edwin Arbus; Rahul K. Arora; Yu Bai; Bowen Baker; Haiming Bao; Boaz Barak; Ally Bennett; et al. (CoRR, 2025)