Fréchet ChemblNet Distance: A metric for generative models for molecules. - Kristina Preuer; Philipp Renz; Thomas Unterthiner; Sepp Hochreiter; Günter Klambauer (CoRR, 2018)

Fréchet ChemNet Distance: A Metric for Generative Models for Molecules in Drug Discovery. - Kristina Preuer; Philipp Renz; Thomas Unterthiner; Sepp Hochreiter; Günter Klambauer (J. Chem. Inf. Model., 2018)

Large-scale ligand-based virtual screening for SARS-CoV-2 inhibitors using deep neural networks. - Markus Hofmarcher; Andreas Mayr; Elisabeth Rumetshofer; Peter Ruch; Philipp Renz; Johannes Schimunek; Philipp Seidl; Andreu Vall; Michael Widrich; Sepp Hochreiter; Günter Klambauer (CoRR, 2020)

Modern Hopfield Networks for Few- and Zero-Shot Reaction Prediction. - Philipp Seidl; Philipp Renz; Natalia Dyubankova; Paulo Neves; Jonas Verhoeven; Jörg K. Wegner; Sepp Hochreiter; Günter Klambauer (CoRR, 2021)

Understanding the Effects of Dataset Characteristics on Offline Reinforcement Learning. - Kajetan Schweighofer; Markus Hofmarcher; Marius-Constantin Dinu; Philipp Renz; Angela Bitto-Nemling; Vihang Patil; Sepp Hochreiter (CoRR, 2021)

Improving Few- and Zero-Shot Reaction Template Prediction Using Modern Hopfield Networks. - Philipp Seidl; Philipp Renz; Natalia Dyubankova; Paulo Neves; Jonas Verhoeven; Jörg K. Wegner; Marwin H. S. Segler; Sepp Hochreiter; Günter Klambauer (J. Chem. Inf. Model., 2022)

Low-Count Time Series Anomaly Detection. - Philipp Renz; Kurt Cutajar; Niall Twomey; Gavin K. C. Cheung; Hanting Xie (MLSP, 2023)

Diverse Hits in De Novo Molecule Design: Diversity-Based Comparison of Goal-Directed Generators. - Philipp Renz; Sohvi Luukkonen; Günter Klambauer (J. Chem. Inf. Model., 2024)