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2022

Contribution to conference

Molnár, K., Stephensen, H. J. T., Hahn, U., Xu, Z., Hasselholt, S. & Nyengaard, J. R. (2022). Node of Ranvier changes in a new mouse model of amyotrophic lateral sclerosis (ALS). Abstract from 5th Annual Research Meeting at the Department of Clinical Medicine, Aarhus University Hospital, Aarhus, Denmark.
Hasselholt, S., Stephensen, H. J. T., Janssen, D., Hasselholt, A., Dubois, A., Hahn, U., Wang, Y., Sporring, J., Xu, Z. & Nyengaard, J. R. (2022). Structural and functional changes in a genetic model of amyotrophic lateral sclerosis. Abstract from SfN 2022, San Diego, CA, United States.

2022

Contribution to book anthology

2022

Contribution to journal

Asmussen, S. & Bladt, M. (2022). From PH/MAP to ME/RAP. Queueing Systems, 100(3-4), 173-175. https://doi.org/10.1007/s11134-022-09755-w
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