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Empirical Inference Members Publications

Members

Probabilistic Numerics, Empirical Inference
Philipp Hennig
Affiliated Researcher
Empirical Inference
Erik Daxberger
  • Doctoral Researcher
Empirical Inference
Georgios Arvanitidis
Empirical Inference
Jakob Macke
Senior Research Scientist
Empirical Inference
Matthias Bauer
  • Doctoral Researcher

Publications

Empirical Inference Conference Paper Laplace Redux — Effortless Bayesian Deep Learning Daxberger*, E., Kristiadi*, A., Immer*, A., Eschenhagen*, R., Bauer, M., Hennig, P. Advances in Neural Information Processing Systems 34 (NeurIPS 2021), 20089-20103, (Editors: M. Ranzato and A. Beygelzimer and Y. Dauphin and P.S. Liang and J. Wortman Vaughan), Curran Associates, Inc., 35th Annual Conference on Neural Information Processing Systems, December 2021, *equal contribution (Published) URL BibTeX
Empirical Inference Article Real-time gravitational wave science with neural posterior estimation Dax, M., Green, S. R., Gair, J., Macke, J. H., Buonanno, A., Schölkopf, B. Physical Review Letters, 127(24), December 2021 (Published) arXiv DOI URL BibTeX
Empirical Inference Article Deep learning enables fast and dense single-molecule localization with high accuracy Speiser*, A., Müller*, L., Hoess, P., Matti, U., Obara, C. J., Legant, W. R., Kreshuk, A., Macke, J. H., Ries, J., Turaga, S. C. Nature Methods, 18:1082-1090, Nature Publishing Group, New York, NY, September 2021, *equal contribution (Published) bioRxiv DOI URL BibTeX
Empirical Inference Conference Paper Bayesian Quadrature on Riemannian Data Manifolds Fröhlich, C., Gessner, A., Hennig, P., Schölkopf, B., Arvanitidis, G. Proceedings of 38th International Conference on Machine Learning (ICML), 139:3459-3468, Proceedings of Machine Learning Research, (Editors: Meila, Marina and Zhang, Tong), PMLR, July 2021 (Published) URL BibTeX