Pubblicazioni scientifiche

Henning J.; Palitta D.; Simoncini V.; Urban K., Matrix Oriented Reduction of Space-Time Petrov-Galerkin Variational Problems, in: Numerical Mathematics and Advanced Applications ENUMATH 2019, Springer Science and Business Media Deutschland GmbH, «LECTURE NOTES IN COMPUTATIONAL SCIENCE AND ENGINEERING», 2021, 139, pp. 1049 - 1057 (atti di: European Conference on Numerical Mathematics and Advanced Applications, ENUMATH 2019, Egmond aan Zee, The Netherlands, 30 September 2019 - 4 October 2019) [Contributo in Atti di convegno] Open Access

Scrivanti Gabriele; Luca Calatroni; Serena Morigi; L. Nicholson; A. Achim, Non-convex super-resolution of oct images via sparse representation, in: 18th IEEE International Symposium on Biomedical Imaging, «PROCEEDINGS INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING», 2021, pp. 621 - 624 (atti di: 18th IEEE International Symposium on Biomedical Imaging, ISBI 2021,, Nice, France, 13 April 2021 - 16 April 2021) [Contributo in Atti di convegno] Open Access

Citti G.; Giovannardi G.; Ritore M.; Sarti A., Submanifolds of Fixed Degree in Graded Manifolds for Perceptual Completion, in: GSI 2021: Geometric Science of Information, Cham, Springer, «LECTURE NOTES IN COMPUTER SCIENCE», 2021, 12829, pp. 47 - 55 (atti di: 5th International Conference on Geometric Science of Information (GSI), Sorbonne Univ, Paris, FRANCE, JUL 21-23, 2021) [Contributo in Atti di convegno] Open Access

Pragliola M.; Calatroni L.; Lanza A.; Sgallari F., Residual Whiteness Principle for Automatic Parameter Selection in ℓ2 - ℓ2 Image Super-Resolution Problems, in: Scale Space and Variational Methods in Computer Vision, Springer Science and Business Media Deutschland GmbH, «LECTURE NOTES IN ARTIFICIAL INTELLIGENCE», 2021, 12679, pp. 476 - 488 (atti di: 8th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2021, Cabourg, France (online), 2021) [Contributo in Atti di convegno] Open Access

Lanza A.; Morigi S.; Sgallari F., Automatic Parameter Selection Based on Residual Whiteness for Convex Non-convex Variational Restoration, in: Springer Proceedings in Mathematics and Statistics, Springer, «SPRINGER PROCEEDINGS IN MATHEMATICS & STATISTICS», 2021, 360, pp. 95 - 111 (atti di: International Workshop on Image Processing and Inverse Problems, IPIP 2018, Beijing, China, 2018) [Contributo in Atti di convegno]

Giacomo De Palma; Bobak Kiani; Seth Lloyd, Adversarial Robustness Guarantees for Random Deep Neural Networks, in: Proceedings of the 38th International Conference on Machine Learning, «PROCEEDINGS OF MACHINE LEARNING RESEARCH», 2021, 139, pp. 2522 - 2534 (atti di: 38th International Conference on Machine Learning, Online, 18-24 lug 2021) [Contributo in Atti di convegno] Open Access

F. Ferrari, N. Forcillo, ABOUT THE EXISTENCE OF AN ALT-CAFFARELLI-FRIEDMAN MONOTONICITY FORMULA IN THE HEISENBERG GROUP, in: Proceedings of VIII MACI 2021, Santa Fe, Asociación Argentina de Matemática Aplicada, Computacional e Industrial, 2021, 8, pp. 301 - 304 (atti di: MATEMÁTICA APLICADA, COMPUTACIONAL E INDUSTRIAL (MACI 8), La Plata, 3-7 maggio 2021) [Contributo in Atti di convegno]

Di Serafino D.; Landi G.; Viola M., TGV-based restoration of Poissonian images with automatic estimation of the regularization parameter, in: Proceedings - 2021 21st International Conference on Computational Science and Its Applications, ICCSA 2021, 345 E 47TH ST, NEW YORK, NY 10017 USA, Institute of Electrical and Electronics Engineers Inc., 2021, pp. 139 - 145 (atti di: 21st International Conference on Computational Science and Its Applications, ICCSA 2021, ita, 2021) [Contributo in Atti di convegno]

Alberti G.; Lassas M.; De Vito E.; Ratti L.; Santacesaria M., Learning the optimal Tikhonov regularizer for inverse problems, in: Advances in Neural Information Processing Systems, Neural information processing systems foundation, 2021, pp. 25205 - 25216 (atti di: 35th Conference on Neural Information Processing Systems, NeurIPS 2021, Virtual, 2021) [Contributo in Atti di convegno]

Pastorello D.; Blanzieri E., A Quantum Binary Classifier based on Cosine Similarity, in: Proceedings - 2021 IEEE International Conference on Quantum Computing and Engineering, QCE 2021, 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA, Institute of Electrical and Electronics Engineers Inc., «IEEE INTERNATIONAL CONFERENCE ON QUANTUM COMPUTING AND ENGINEERING», 2021, pp. 477 - 478 (atti di: 2nd IEEE International Conference on Quantum Computing and Engineering, QCE 2021, USA, 17-22 Oct. 2021) [Contributo in Atti di convegno] Open Access

Harutyunyan H.; Alessandro Achille; Giovanni Paolini; Majumder O.; Ravichandran A.; Bhotika R.; Soatto S., Estimating informativeness of samples with Smooth Unique Information, in: ICLR 2021 - 9th International Conference on Learning Representations, International Conference on Learning Representations, ICLR, 2021, pp. 1 - 22 (atti di: 9th International Conference on Learning Representations, ICLR 2021, Virtual only, 2021) [Contributo in Atti di convegno]

Giovanni Paolini; Ben Athiwaratkun; Jason Krone; Jie Ma; Alessandro Achille; Rishita Anubhai; Cicero Nogueira dos Santos; Bing Xiang; Stefano Soatto, Structured prediction as translation between augmented natural languages, in: International Conference on Learning Representations, International Conference on Learning Representations, ICLR, 2021, pp. 1 - 26 (atti di: 9th International Conference on Learning Representations, ICLR 2021, Virtual only, 3 May - 7 May 2021) [Contributo in Atti di convegno] Open Access

Loureiro B.; Sicuro G.; Gerbelot C.; Pacco A.; Krzakala F.; Zdeborova L., Learning Gaussian Mixtures with Generalised Linear Models: Precise Asymptotics in High-dimensions, in: Advances in Neural Information Processing Systems, Neural information processing systems foundation, «ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS», 2021, 13, pp. 10144 - 10157 (atti di: 35th Conference on Neural Information Processing Systems, NeurIPS 2021, Virtual, 2021) [Contributo in Atti di convegno]

Lopez F.; Pozzetti B.; Trettel S.; Strube M.; Wienhard A., Symmetric Spaces for Graph Embeddings: A Finsler-Riemannian Approach, in: Proceedings of Machine Learning Research, ML Research Press, «PROCEEDINGS OF MACHINE LEARNING RESEARCH», 2021, 139, pp. 7090 - 7101 (atti di: 38th International Conference on Machine Learning, ICML 2021, Virtual only, 2021) [Contributo in Atti di convegno]

Lopez F.; Pozzetti B.; Trettel S.; Strube M.; Wienhard A., Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices, in: Advances in Neural Information Processing Systems, Neural information processing systems foundation, «ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS», 2021, 22, pp. 18350 - 18366 (atti di: 35th Conference on Neural Information Processing Systems, NeurIPS 2021, Virtual only, 2021) [Contributo in Atti di convegno]