Mayr, Andreas

11 publications

ICLR 2025 Bio-xLSTM: Generative Modeling, Representation and In-Context Learning of Biological and Chemical Sequences Niklas Schmidinger, Lisa Schneckenreiter, Philipp Seidl, Johannes Schimunek, Pieter-Jan Hoedt, Johannes Brandstetter, Andreas Mayr, Sohvi Luukkonen, Sepp Hochreiter, Günter Klambauer

NeurIPS 2025 LaM-SLidE: Latent Space Modeling of Spatial Dynamical Systems via Linked Entities Florian Sestak, Artur P. Toshev, Andreas Fürst, Günter Klambauer, Andreas Mayr, Johannes Brandstetter

ICLRW 2025 LaM-SLidE: Latent Space Modeling of Spatial Dynamical Systems via Linked Entities Florian Sestak, Artur P. Toshev, Andreas Fürst, Günter Klambauer, Andreas Mayr, Johannes Brandstetter

ICLRW 2025 UPT++: Latent Point Set Neural Operators for Modeling System State Transitions Andreas Fürst, Florian Sestak, Artur P. Toshev, Benedikt Alkin, Nikolaus A. Adams, Andreas Mayr, Günter Klambauer, Johannes Brandstetter

NeurIPSW 2024 Bio-xLSTM: Generative Modeling, Representation and In-Context Learning of Biological and Chemical Sequences Niklas Schmidinger, Lisa Schneckenreiter, Philipp Seidl, Johannes Schimunek, Pieter-Jan Hoedt, Johannes Brandstetter, Andreas Mayr, Sohvi Luukkonen, Sepp Hochreiter, Günter Klambauer

ICLRW 2024 GNN-VPA: A Variance-Preserving Aggregation Strategy for Graph Neural Networks Lisa Schneckenreiter, Richard Freinschlag, Florian Sestak, Johannes Brandstetter, Günter Klambauer, Andreas Mayr

AAAI 2023 Boundary Graph Neural Networks for 3D Simulations Andreas Mayr, Sebastian Lehner, Arno Mayrhofer, Christoph Kloss, Sepp Hochreiter, Johannes Brandstetter

NeurIPSW 2023 VN-EGNN: Equivariant Graph Neural Networks with Virtual Nodes Enhance Protein Binding Site Identification Florian Sestak, Lisa Schneckenreiter, Sepp Hochreiter, Andreas Mayr, Günter Klambauer

NeurIPSW 2023 VN-EGNN: Equivariant Graph Neural Networks with Virtual Nodes Enhance Protein Binding Site Identification Florian Sestak, Lisa Schneckenreiter, Sepp Hochreiter, Andreas Mayr, Günter Klambauer

NeurIPS 2017 Self-Normalizing Neural Networks Günter Klambauer, Thomas Unterthiner, Andreas Mayr, Sepp Hochreiter

NeurIPS 2015 Rectified Factor Networks Djork-Arné Clevert, Andreas Mayr, Thomas Unterthiner, Sepp Hochreiter