Philipp Renz

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 8

Top Topics

Virtual Screening

Scoring Function

Generative Model

Hopfield Networks

Top Venues

J. Chem. Inf. Model.

Publications

Philipp Renz, Kurt Cutajar, Niall Twomey, Gavin K. C. Cheung, Hanting Xie
Low-count Time Series Anomaly Detection. CoRR (2023)
Philipp Renz, Kurt Cutajar, Niall Twomey, Gavin K. C. Cheung, Hanting Xie
Low-Count Time Series Anomaly Detection. MLSP (2023)
Philipp Seidl, Philipp Renz, Natalia Dyubankova, Paulo Neves, Jonas Verhoeven, Jörg K. Wegner, Marwin H. S. Segler, Sepp Hochreiter, Günter Klambauer
Improving Few- and Zero-Shot Reaction Template Prediction Using Modern Hopfield Networks. J. Chem. Inf. Model. 62 (9) (2022)
Philipp Seidl, Philipp Renz, Natalia Dyubankova, Paulo Neves, Jonas Verhoeven, Jörg K. Wegner, Sepp Hochreiter, Günter Klambauer
Modern Hopfield Networks for Few- and Zero-Shot Reaction Prediction. CoRR (2021)
Kajetan Schweighofer, Markus Hofmarcher, Marius-Constantin Dinu, Philipp Renz, Angela Bitto-Nemling, Vihang P. Patil, Sepp Hochreiter
Understanding the Effects of Dataset Characteristics on Offline Reinforcement Learning. CoRR (2021)
Markus Hofmarcher, Andreas Mayr, Elisabeth Rumetshofer, Peter Ruch, Philipp Renz, Johannes Schimunek, Philipp Seidl, Andreu Vall, Michael Widrich, Sepp Hochreiter, Günter Klambauer
Large-scale ligand-based virtual screening for SARS-CoV-2 inhibitors using deep neural networks. CoRR (2020)
Kristina Preuer, Philipp Renz, Thomas Unterthiner, Sepp Hochreiter, Günter Klambauer
Fréchet ChemblNet Distance: A metric for generative models for molecules. CoRR (2018)
Kristina Preuer, Philipp Renz, Thomas Unterthiner, Sepp Hochreiter, Günter Klambauer
Fréchet ChemNet Distance: A Metric for Generative Models for Molecules in Drug Discovery. J. Chem. Inf. Model. 58 (9) (2018)