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Lisa Schneckenreiter

2 accepted papers

2026

Contrastive Geometric Learning Unlocks Unified Structure- and Ligand-Based Drug Design

ICML 2026poster

Structure-based and ligand-based computational drug design have traditionally relied on disjoint data sources and modeling assumptions, limiting their joint use at scale. In this work, we introduce **Con**trastive **G**eometric **L**earning for **U**nified Computational **D**rug D**e**sign (ConGLUDe…

Cited by 0SourceScholar
2025

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

ICLR 2025poster

Language models for biological and chemical sequences enable crucial applications such as drug discovery, protein engineering, and precision medicine. Currently, these language models are predominantly based on Transformer architectures. While Transformers have yielded impressive results, their quad…

Cited by 6SourcePDFScholar