Günter Klambauer

Unifying Structure- and Ligand-based Drug Design via Contrastive Geometric Learning

MolecularIQ: Characterizing Chemical Reasoning Capabilities Through Symbolic Verification on Molecular Graphs

TiRex: Zero-Shot Forecasting Across Long and Short Horizons with Enhanced In-Context Learning

xLSTM 7B: A Recurrent LLM for Fast and Efficient Inference

LaM-SLidE: Latent Space Modeling of Spatial Dynamical Systems via Linked Entities

A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks

A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks

Bio-xLSTM: Generative modeling, representation and in-context learning of biological and chemical sequences

VN-EGNN: E(3)- and SE(3)-Equivariant Graph Neural Networks with Virtual Nodes Enhance Protein Binding Site Identification

UPT++: Latent Point Set Neural Operators for Modeling System State Transitions