Philipp Renz

According to our database, Philipp Renz authored at least 8 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

2023

Low-Count Time Series Anomaly Detection.

Philipp Renz, Kurt Cutajar, Niall Twomey, Gavin K. C. Cheung, Hanting Xie

Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

2022

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

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

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

2020

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

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

Fréchet ChemblNet Distance: A metric for generative models for molecules.

Kristina Preuer, Philipp Renz, Thomas Unterthiner, Sepp Hochreiter, Günter Klambauer

CoRR, 2018