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Senior Research Scientist
Group Involvement, NEC Laboratories Europe
Biomedical AI
Research Interests
- Statistical Machine Learning
- Deep Generative Models
- Biomedical Applications
Publications
- Sergio Oller-Moreno, Karin Kloiber, Pierre Machart, Stefan Bonn. Algorithmic advances in Machine Learning for single-cell expression analysis. Current Opinion in Systems Biology, 2021.
- Pierre Machart, Mohamed Marouf, Vikas Bansal, Christoph Kilian, Daniel Magruder, Christian Krebs, Stefan Bonn. Realistic in silico generation and augmentation of single-cell RNA-seq data using generative adversarial networks. Nature Communications, 2020.
- Rémi Gribonval, Pierre Machart. Reconciling “priors” and “priors” without prejudice?. Advances in Neural Information Processing Systems (NeurIPS), 2013.
- Pierre Machart, Thomas Peel, Liva Ralaivola, Sandrine Anthoine, Hervé Glotin. Stochastic low-rank kernel learning for regression. International Conference on Machine Learning (ICML), 2011.
Connections
- Google Scholar: scholar.google.com/citations
- LinkedIn: www.linkedin.com/in/pierre-machart/