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Results: 58
Number of items: 58
  • Open Access
    Bos, T. S., Boelrijk, J., Molenaar, S. R. A., Veer, B. V. ., Niezen, L. E., van Herwerden, D., Samanipour, S., Stoll, D. R., Forré, P., Ensing, B., Somsen, G. W., & Pirok, B. W. J. (2022). Chemometric Strategies for Fully Automated Interpretive Method Development in Liquid Chromatography. Analytical Chemistry, 94(46), 16060-16068. https://doi.org/10.1021/acs.analchem.2c03160
  • Open Access
    Boelrijk, J., Ensing, B., & Forré, P. (2022). Multi-Objective Optimization via Equivariant Deep Hypervolume Approximation. (v1 ed.) ArXiv. https://doi.org/https://arxiv.org/abs/2210.02177v1
  • Open Access
    Maile, K., Wilson, D. G., & Forré, P. (2022). Architectural Optimization over Subgroups for Equivariant Neural Networks. (v1 ed.) ArXiv. https://doi.org/10.48550/arXiv.2210.05484
  • Open Access
    Pandeva, T., Bakker, T., Naesseth, C. A., & Forré, P. (2022). E-Valuating Classifier Two-Sample Tests. ArXiv. https://doi.org/10.48550/arXiv.2210.13027
  • Open Access
    Lippert, F., Kranstauber, B., van Loon, E. E., & Forré, P. (2022). Physics-informed inference of aerial animal movements from weather radar data. Paper presented at Workshop AI for Science: Progress and Promises, New Orleans, Louisiana, United States. https://doi.org/10.48550/arXiv.2211.04539
  • Open Access
    Ruhe, D., Wong, K., Cranmer, M., & Forré, P. (2022). Normalizing Flows for Hierarchical Bayesian Analysis: A Gravitational Wave Population Study. In Machine Learning and the Physical Sciences: Workshop at the 36th conference on Neural Information Processing Systems (NeurIPS) : December 3, 2022 ML4PS. https://doi.org/10.48550/arXiv.2211.09008
  • Miller, B. K., Cole, A., Forré, P., Louppe, G., & Weniger, C. (2021). Truncated Marginal Neural Ratio Estimation - Data [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5592427
  • Open Access
    Ruhe, D., & Forré, P. (2021). Self-Supervised Inference in State-Space Models. (v1 ed.) ArXiv. https://doi.org/10.48550/arXiv.2107.13349
  • Open Access
    Keller, T. A., Peters, J. W. T., Jaini, P., Hoogeboom, E., Forré, P., & Welling, M. (2021). Self Normalizing Flows. Proceedings of Machine Learning Research, 139, 5378-5387. https://arxiv.org/abs/2011.07248
  • Open Access
    Forré, P. (2021). Quasi-Measurable Spaces. ArXiv. https://arxiv.org/abs/2109.11631
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