Aarhus University Seal

Publications

Sort by: Date | Author | Title

2022

Contribution to journal

Pandey, M., Chakrabarty, A. & Chakraborty, S. (2022). Length of stationary Gaussian excursions. Proceedings of the American Mathematical Society, 151(3), 1339. https://www.ams.org/journals/proc/2023-151-03/S0002-9939-2022-16245-5/S0002-9939-2022-16245-5.pdf
Hirsch, C., Jahnel, B. & Cali, E. (2022). Percolation and connection times in multi-scale dynamic networks. Stochastic Processes and Their Applications, 151, 490-518. https://doi.org/10.1016/j.spa.2022.06.008
Hirsch, C., Moka, S. B., Taimre, T. & Kroese, D. P. (2022). Rare Events in Random Geometric Graphs. Methodology and Computing in Applied Probability, 24(3), 1367-1383. https://doi.org/10.1007/s11009-021-09857-7
Hirsch, C., Jahnel, B. & Muirhead, S. (2022). Sharp phase transition for Cox percolation. Electronic Communications in Probability, 27, 1-13. https://doi.org/10.1214/22-ECP487
Baudoin, F., Grong, E. & Vega-Molino, G. (2022). A horizontal Chern–Gauss–Bonnet formula on totally geodesic foliations. Annals of Global Analysis and Geometry, 61(4), 759-776. https://doi.org/10.1007/s10455-022-09827-3
Baudoin, F., Grong, E., Rizzi, L. & Vega-Molino, G. (2022). H-type foliations. Differential Geometry and its Application, 85, Article 101952. https://doi.org/10.1016/j.difgeo.2022.101952
Asmussen, S. & Bladt, M. (2022). Moments and polynomial expansions in discrete matrix-analytic models. Stochastic Processes and Their Applications, 150, 1165-1188. https://doi.org/10.1016/j.spa.2021.12.002

2021

Working Paper

2021

Contribution to conference

2021

Contribution to book anthology

Dormann, F., Frisk, O., Andersen, L. N. & Pedersen, C. F. (2021). Not All Noise Is Accounted Equally: How Differentially Private Learning Benefits From Large Sampling Rates. In 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing, MLSP 2021 IEEE. https://doi.org/10.1109/MLSP52302.2021.9596307
Borup, K. & Andersen, L. N. (2021). Even your Teacher Needs Guidance: Ground-Truth Targets Dampen Regularization Imposed by Self-Distillation. In MA. Ranzato, A. Beygelzimer, Y. Dauphin, P. S. Liang & J. Wortman Vaughan (Eds.), Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021 (pp. 5316-5327). Neural Information Processing Systems Foundation. https://proceedings.neurips.cc/paper_files/paper/2021/file/2adcefe38fbcd3dcd45908fbab1bf628-Paper.pdf

2021

Contribution to journal

Baudoin, F. (2021). Heat flow and sets of finite perimeter. Notices of the American Mathematical Society, 68(4), 582-583. https://doi.org/10.1090/noti2257
Pelizzola, M., Behr, M., Li, H., Munk, A. & Futschik, A. (2021). Multiple haplotype reconstruction from allele frequency data. Nature Computational Science, 1(4), 262-271. https://doi.org/10.1038/s43588-021-00056-5