Universal Physics Transformers: A Framework For Efficiently Scaling Neural Operators. - Benedikt Alkin; Andreas Fürst; Simon Schmid; Lukas Gruber; Markus Holzleitner; Johannes Brandstetter (NeurIPS, 2024)

Energy-based Hopfield Boosting for Out-of-Distribution Detection. - Claus Hofmann; Simon Schmid; Bernhard Lehner; Daniel Klotz; Sepp Hochreiter (NeurIPS, 2024)

Universal Physics Transformers. - Benedikt Alkin; Andreas Fürst; Simon Schmid; Lukas Gruber; Markus Holzleitner; Johannes Brandstetter (CoRR, 2024)

Quantitative Comparison of the Total Focusing Method, Reverse Time Migration, and Full Waveform Inversion for Ultrasonic Imaging. - Tim Bürchner; Simon Schmid; Lukas Bergbreiter; Ernst Rank; Stefan Kollmannsberger; Christian Ulrich Grosse (CoRR, 2024)

Proceedings of 1st Workshop on Advancing Artificial Intelligence through Theory of Mind. - Mouad Abrini; Omri Abend; Dina M. Acklin; Henny Admoni; Gregor Aichinger; Nitay Alon; Zahra Ashktorab; Ashish Atreja; Moises Auron; Alexander Aufreiter; Raghav Awasthi; Soumya Banerjee; et al. (CoRR, 2025)