Publications
Showing entries 141 - 160 out of 343
Berner J, Grohs P, Voigtlaender F. Learning ReLU networks to high uniform accuracy is intractable. 2023. Paper presented at The Eleventh International Conference on Learning Representations: ICLR 2023.
Koutra D, (ed.), Plant C, (ed.), Gomez-Rodriguez M, (ed.), Baralis E, (ed.), Bonchi F, (ed.). Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part I. Lecture Notes in Computer Science. 2023;14169. doi: 10.1007/978-3-031-43412-9
Koutra D, (ed.), Plant C, (ed.), Rodriguez MG, (ed.), Baralis E, (ed.), Bonchi F, (ed.). Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part II. Lecture Notes in Computer Science. 2023;14170. doi: 10.1007/978-3-031-43415-0
Koutra D, (ed.), Plant C, (ed.), Rodriguez MG, (ed.), Baralis E, (ed.), Bonchi F, (ed.). Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part III. Lecture Notes in Computer Science. 2023;14171. doi: 10.1007/978-3-031-43418-1
Koutra D, (ed.), Plant C, (ed.), Rodriguez MG, (ed.), Baralis E, (ed.), Bonchi F, (ed.). Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part IV. Lecture Notes in Computer Science. 2023;14172. doi: 10.1007/978-3-031-43421-1
Koutra D, (ed.), Plant C, (ed.), Rodriguez MG, (ed.), Baralis E, (ed.), Bonchi F, (ed.). Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part V. Lecture Notes in Computer Science. 2023;14173. doi: 10.1007/978-3-031-43424-2
Teichmann L. Mapping German fiction in translation in the German National Library catalogue (1980-2020). 2023.
Hautsch N, Okhrin O, Ristig A. Maximum-Likelihood Estimation Using the Zig-Zag Algorithm. Journal of Financial Econometrics. 2023;21(4):1346-1375. nbac006. Epub 2022 Apr 1. doi: 10.1093/jjfinec/nbac006
Allan AL, Cuchiero C, Liu C, Prömel DJ. Model-free Portfolio Theory: A Rough Path Approach. Mathematical Finance: an international journal of mathematics, statistics and financial economics. 2023;33(3):709-765. Epub 2023 Jan 24. doi: 10.48550/arXiv.2109.01843, 10.1111/mafi.12376
Cuchiero C, Reisinger C, Rigger S. Optimal bailout strategies resulting from the drift controlled supercooled Stefan problem. annals of operations research. 2023. doi: 10.48550/arXiv.2111.01783
Klein I, Cuchiero C, Gazzani G. "Risk measures under model uncertainty: A Bayesian viewpoint". Frontiers of Mathematical Finance. 2023;2(4):438-477.
Brissette P, Vallières J, Teichmann L. Romans à lire : statistiques descriptives (2023) 2023. doi: 10.5683/SP3/HMSNVE
Baumann A, Stephan A, Roth B. Seeing through the mess: evolutionary dynamics of lexical polysemy. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. 2023. p. 8745–8762
Cuchiero C, Papariello-Svaluto-Ferro S, Gazzani G. Signature based models: theory and calibration. 3 ed. SIAM Journal on Financial Mathematics. 2023. doi: arXiv:2207.13136
Grohs P, Hornung F, Jentzen A, Zimmermann P. Space-time error estimates for deep neural network approximations for differential equations. Advances in Computational Mathematics. 2023;49:4. doi: 10.48550/arXiv.1908.03833, 10.1007/s10444-022-09970-2
Heinisch B. Terminological usability – adapting terminological databases to different user groups according to usability principles: The case of UniVieTerm. Terminology Science & Research / Terminologie : Science et Recherche. 2023.
Scherbela M, Gerard L, Grohs P. Variational Monte Carlo on a Budget - Fine-tuning pretrained Neural Wavefunctions. In Advances in Neural Information Processing Systems 36 (NeurIPS 2023). 2023
Pacher C, Schicker I, deWit R, Hlavácková-Schindler K, Plant C. AWT - Clustering Meteorological Time Series Using an Aggregated Wavelet Tree. arXiv.org. 2022 Dec 13. doi: 10.48550/arXiv.2212.06642
Bause F, Kriege NM. Gradual Weisfeiler-Leman: Slow and Steady Wins the Race. Proceedings of Machine Learning Research (PMLR). 2022 Dec 9;198:1-20.
Chen Z, Fu L, Xiao S, Wang S, Plant C, Guo W. Multi-view Graph Convolutional Networks with Differentiable Node Selection. arXiv.org. 2022 Dec 9. doi: 10.48550/arXiv.2212.05124
Showing entries 141 - 160 out of 343