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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
Alonso Ruiz, P. & Baudoin, F. (2021). Gagliardo-Nirenberg, Trudinger-Moser and Morrey inequalities on Dirichlet spaces. Journal of Mathematical Analysis and Applications, 497(2), Article 124899. https://doi.org/10.1016/j.jmaa.2020.124899
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
Bañuelos, R., Baudoin, F., Chen, L. & Sire, Y. (2021). Multiplier theorems via martingale transforms. Journal of Functional Analysis, 281(9), Article 109188. https://doi.org/10.1016/j.jfa.2021.109188
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
Asmussen, S., Constantinescu, C. & Thøgersen, J. (2021). On the risk of credibility premium rules. Scandinavian Actuarial Journal, 2021(10), 866-889. https://doi.org/10.1080/03461238.2021.1895298
Błaszczyszyn, B. & Hirsch, C. (2021). Optimal stationary markings. Stochastic Processes and Their Applications, 138, 153-185. https://doi.org/10.1016/j.spa.2021.04.003
Basse-O'Connor, A., Pilipauskaite, V. & Podolskij, M. (2021). Power variations for fractional type infinitely divisible random fields. Electronic Journal of Probability, 26, Article 55. https://doi.org/10.1214/21-EJP617
Baudoin, F., Demni, N. & Wang, J. (2021). Quaternionic Brownian Windings. Journal of Theoretical Probability, 34(4), 2368-2385. https://doi.org/10.1007/s10959-020-01034-9
Baudoin, F., Demni, N. & Wang, J. (2021). Quaternionic stochastic areas. Stochastic Processes and Their Applications, 131, 311-339. https://doi.org/10.1016/j.spa.2020.09.002
Bethuelsen, S. A., Hirsch, C. & Mönch, C. (2021). Quenched invariance principle for random walks on dynamically averaging random conductances. Electronic Communications in Probability, 26, 1-13. Article 69. https://doi.org/10.1214/21-ECP440
Baudoin, F. & Cho, G. (2021). The subelliptic heat kernel of the octonionic anti-de sitter fibration. Symmetry, Integrability and Geometry: Methods and Applications (SIGMA), 17, Article 014. https://doi.org/10.3842/SIGMA.2021.014
Baudoin, F. & Eldredge, N. (2021). Transportation inequalities for markov kernels and their applications. Electronic Journal of Probability, 26, Article 45. https://doi.org/10.1214/21-EJP605
Couzinie, Y. & Hirsch, C. (2021). Weakly reinforced Polya urns on countable networks. Electronic Communications in Probability, 26, Article 35. https://doi.org/10.1214/21-ECP404
Rheinbay, E., Nielsen, M. M., Abascal, F., Wala, J. A., Shapira, O., Tiao, G., Hornshøj, H., Hess, J. M., Juul, R. I., Lin, Z., Feuerbach, L., Sabarinathan, R., Madsen, T., Kim, J., Mularoni, L., Shuai, S., Lanzós, A., Herrmann, C., Maruvka, Y. E. ... PCAWG Consortium (2020). Analyses of non-coding somatic drivers in 2,658 cancer whole genomes. Nature, 578(7793), 102-111. https://doi.org/10.1038/s41586-020-1965-x
González, J. A., Hahn, U. & Mateu, J. (2020). Analysis of tornado reports through replicated spatio-temporal point patterns. Journal of the Royal Statistical Society, Series C (Applied Statistics), 69(1), 3-23. https://doi.org/10.1111/rssc.12375
Ruiz, P. A., Baudoin, F., Chen, L., Rogers, L. G., Shanmugalingam, N. & Teplyaev, A. (2020). Besov class via heat semigroup on Dirichlet spaces I: Sobolev type inequalities. Journal of Functional Analysis, 278(11), Article 108459. https://doi.org/10.1016/j.jfa.2020.108459
Alonso-Ruiz, P., Baudoin, F., Chen, L., Rogers, L., Shanmugalingam, N. & Teplyaev, A. (2020). Besov class via heat semigroup on Dirichlet spaces II: BV functions and Gaussian heat kernel estimates. Calculus of Variations and Partial Differential Equations, 59(3), Article 103. https://doi.org/10.1007/s00526-020-01750-4
Carlevaro-Fita, J., Lanzós, A., Feuerbach, L., Hong, C., Mas-Ponte, D., Pedersen, J. S., PCAWG Drivers and Functional Interpretation Group, Johnson, R. & PCAWG Consortium (2020). Cancer LncRNA Census reveals evidence for deep functional conservation of long noncoding RNAs in tumorigenesis. Communications Biology, 3(1), Article 56. https://doi.org/10.1038/s42003-019-0741-7
Shuai, S., PCAWG Drivers and Functional Interpretation Working Group, Gallinger, S., Stein, L. & PCAWG Consortium (2020). Combined burden and functional impact tests for cancer driver discovery using DriverPower. Nature Communications, 11(1), Article 734. https://doi.org/10.1038/s41467-019-13929-1
Chen, L., Martell, J. M. & Prisuelos-Arribas, C. (2020). Conical square functions for degenerate elliptic operators. Advances in Calculus of Variations, 13(1), 75-113. https://doi.org/10.1515/acv-2016-0062
Baudoin, F., Feng, Q. & Ouyang, C. (2020). DENSITY of the SIGNATURE PROCESS of FBM. Transactions of the American Mathematical Society, 373(12), 8583-8610. https://doi.org/10.1090/tran/8165