Search Results - "Renz, Philipp"
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1
Fréchet ChemNet Distance: A metric for generative models for molecules in drug discovery
Published in Journal of chemical information and modeling (24-09-2018)“…The new wave of successful generative models in machine learning has increased the interest in deep learning driven de novo drug design. However, method…”
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Journal Article -
2
Diverse Hits in De Novo Molecule Design: Diversity-Based Comparison of Goal-Directed Generators
Published in Journal of chemical information and modeling (12-08-2024)“…Since the rise of generative AI models, many goal-directed molecule generators have been proposed as tools for discovering novel drug candidates. However,…”
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Journal Article -
3
Improving Few- and Zero-Shot Reaction Template Prediction Using Modern Hopfield Networks
Published in Journal of chemical information and modeling (09-05-2022)“…Finding synthesis routes for molecules of interest is essential in the discovery of new drugs and materials. To find such routes, computer-assisted synthesis…”
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4
On failure modes in molecule generation and optimization
Published in Drug discovery today. Technologies (01-12-2019)“…There has been a wave of generative models for molecules triggered by advances in the field of Deep Learning. These generative models are often used to…”
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Journal Article -
5
Fréchet ChemNet Distance: A Metric for Generative Models for Molecules in Drug Discovery
Published in Journal of chemical information and modeling (24-09-2018)“…The new wave of successful generative models in machine learning has increased the interest in deep learning driven de novo drug design. However, method…”
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Journal Article -
6
Effects of clonidine and midazolam premedication on bispectral index and recovery after elective surgery
Published in European journal of anaesthesiology (01-07-2009)“…BACKGROUND AND OBJECTIVESAlpha-2 agonists offer useful effects that make these drugs an interesting alternative for pharmacological premedication. METHODSIn a…”
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Low-count Time Series Anomaly Detection
Published 24-08-2023“…2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP) Low-count time series describe sparse or intermittent events, which are…”
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8
Low-Count Time Series Anomaly Detection
Published in 2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP) (17-09-2023)“…Low-count time series describe sparse or intermittent events, which are prevalent in large-scale online platforms that capture and monitor diverse data types…”
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Conference Proceeding -
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Reliability-based improvement of life-cycle maintenance and replacement strategies in transmission systems using ant colony optimization
Published in 2017 6th International Youth Conference on Energy (IYCE) (01-06-2017)“…Due to the competition at the regulated energy market, transmission system operators want to save expenditures. Maintaining and replacing assets cause a part…”
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Conference Proceeding -
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Modern Hopfield Networks for Few- and Zero-Shot Reaction Template Prediction
Published 07-04-2021“…Finding synthesis routes for molecules of interest is an essential step in the discovery of new drugs and materials. To find such routes, computer-assisted…”
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Journal Article -
11
Fr\'echet ChemNet Distance: A metric for generative models for molecules in drug discovery
Published 26-03-2018“…The new wave of successful generative models in machine learning has increased the interest in deep learning driven de novo drug design. However, assessing the…”
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Journal Article -
12
Large-scale ligand-based virtual screening for SARS-CoV-2 inhibitors using deep neural networks
Published 25-03-2020“…Due to the current severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic, there is an urgent need for novel therapies and drugs. We conducted a…”
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