Publications
Showing entries 61 - 80 out of 245
Lerma Pineda AF, Petersen PC. Deep neural networks can stably solve high-dimensional, noisy, non-linear inverse problems. Analysis and Applications. 2023 Jan 1;21(1):49-91. doi: https://doi.org/10.1142/S0219530522400097
Bot RI, Sedlmayer M, Phan TV. A Relaxed Inertial Forward-Backward-Forward Algorithm for Solving Monotone Inclusions with Application to GANs. Journal of Machine Learning Research. 2023 Jan;24(1):191-227. 8.
Grohs P, Liehr L. Injectivity of Gabor phase retrieval from lattice measurements. Applied and Computational Harmonic Analysis. 2023 Jan;62:173-193. doi: https://arxiv.org/abs/2008.07238, 10.1016/j.acha.2022.09.001
Chen Z, Wu Z, Lin Z, Wang S, Plant C, Guo W. AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing. arXiv. 2023. doi: https://doi.org/10.48550/arXiv.2304.07014
Bot RI, Csetnek ER, Sedlmayer M. An accelerated minimax algorithm for convex-concave saddle point problems with nonsmooth coupling function. Computational Optimization and Applications. 2023;86(3):925-966. Epub 2022 Jun 4. doi: 10.1007/s10589-022-00378-8
Heinisch B. Collaboration with citizens and its revolutionary potential in the digital humanities. 2023. Digital Humanities 2023, Graz, Austria. doi: 10.5281/zenodo.8210808
Steinberger L, Leeb H. Conditional predictive inference for stable algorithms. Annals of Statistics. 2023;51(1):290 - 311.
Ye W, Mautz D, Böhm C, Singh AK, Plant C. Incorporating User's Preference into Attributed Graph Clustering : Extended abstract. In 39th IEEE International Conference on Data Engineering, ICDE 2023, Anaheim, CA, USA, April 3-7, 2023. IEEE. 2023. p. 3833-3834 doi: 10.1109/ICDE55515.2023.00343
Steinberger L, Rohde A, Butucea C. Interactive versus non-interactive locally differentially private estimation: Two elbows for the quadratic functional. Annals of Statistics. 2023;51(2):464 - 486.
Li P, Pan L, Li K, Plant C, Böhm C. Interpretable Subgraph Feature Extraction for Hyperlink Prediction. In IEEE International Conference on Data Mining, ICDM 2023, Shanghai, China, December 1-4, 2023. IEEE. 2023. p. 279-288
Hegele S, Heinisch B, Popp A, Marheinecke K, Rios A, Gromann D et al. Language Report German. In Cognitive Technologies. Springer Science and Business Media Deutschland GmbH. 2023. p. 147-150. (Cognitive Technologies, Vol. Part F280). doi: 10.1007/978-3-031-28819-7_18
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
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, https://doi.org/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
Showing entries 61 - 80 out of 245