Marwin Segler - Concepedia

Author

Marwin Segler

Also Known As

Fortunato, Mike, Marwin H. S. Segler, Marwin H.S. Segler, Marwin HS Segler, Marwin Segler, Maziarz, Krzysztof, Segler, Marwin, Segler, Marwin H, Segler, Marwin H. S., Segler, Marwin HS

Publications

8.2K

Citations

H-Index

Concepts

All Affiliations

University of Münster BenevolentAI (United Kingdom)University of Cambridge Shanghai University Microsoft Research (United Kingdom)

About

Marwin Segler is an author at University of Münster specializing in engineering, machine learning, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	15	18	1.6K
2	Medicine	7	7	659
3	Biomolecular Engineering	3	3	112
4	Natural Sciences	2	2	86
5	Applied Physics	1	1	11

Marwin Segler

Publications

5.1K

Citations

H-Index

Page 1

	Year	Citations
Planning chemical syntheses with deep neural networks and symbolic AI Marwin Segler, Mark P. Waller Nature Artificial IntelligenceSymbolic LearningSymbolic AiAi-based Process OptimizationApplied Artificial Intelligence	2018	1.8K
Generating Focused Molecule Libraries for Drug Discovery with Recurrent Neural Networks Marwin Segler, Thierry Kogej, Christian Tyrchan, ACS Central Science	2017	1.6K
Neural‐Symbolic Machine Learning for Retrosynthesis and Reaction Prediction Marwin Segler, Mark P. Waller Chemistry - A European Journal Artificial IntelligenceSymbolic LearningCognitive ScienceReaction PredictionMachine Learning	2017	579
Opportunities and obstacles for deep learning in biology and medicine Travers Ching, Daniel Himmelstein, Brett K. Beaulieu‐Jones, Convolutional Neural NetworkEngineeringMachine LearningComputational MedicineBiomedical Artificial Intelligence	2017	309
Artificial Intelligence in Drug Discovery Matthew A Sellwood, Mohamed A. Ahmed, Marwin Segler, Future Medicinal Chemistry Artificial IntelligenceEngineeringNew ApproachesInitial ReportsDrug Class	2018	167
Molecular representation learning with language models and domain-relevant auxiliary tasks Benedek Fabian, Thomas Edlich, Héléna A. Gaspar, arXiv (Cornell University) Structured PredictionEngineeringMachine LearningMolecular BiologyLarge Language Model	2020	111
Exploring Deep Recurrent Models with Reinforcement Learning for Molecule Design Daniel Neil, Marwin Segler, Laura Guasch, International Conference on Learning Representations EngineeringMachine LearningReinforcement Learning StrategiesDeep Reinforcement LearningNatural Sciences	2018	75
A Model to Search for Synthesizable Molecules John Bradshaw, Brooks Paige, Matt J. Kusner, PolyPublie (École Polytechnique de Montréal) Generative SystemRetrosynthesis ProblemsMachine LearningEngineeringDeep Generative Models	2019	75
Generating Focussed Molecule Libraries for Drug Discovery with Recurrent Neural Networks Marwin Segler, Thierry Kogej, Christian Tyrchan, arXiv (Cornell University) Structured PredictionDrug TargetEngineeringMachine LearningMolecular Biology	2017	68
DEFactor: Differentiable Edge Factorization-based Probabilistic Graph Generation Rim Assouel, Mohamed M. Ahmed, Marwin Segler, arXiv (Cornell University) EngineeringMolecular BiologyGraph ProcessingMolecular DesignData Science	2018	55

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