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Gianluca Ceruti
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Journal Articles
- 2024
- [j4]Gianluca Ceruti, Jonas Kusch, Christian Lubich:
A Parallel Rank-Adaptive Integrator for Dynamical Low-Rank Approximation. SIAM J. Sci. Comput. 46(3): 205- (2024) - 2023
- [j3]Gianluca Ceruti, Christian Lubich, Dominik Sulz:
Rank-Adaptive Time Integration of Tree Tensor Networks. SIAM J. Numer. Anal. 61(1): 194-222 (2023) - [j2]Jonas Kusch, Lukas Einkemmer, Gianluca Ceruti:
On the Stability of Robust Dynamical Low-Rank Approximations for Hyperbolic Problems. SIAM J. Sci. Comput. 45(1): 1- (2023) - 2021
- [j1]Gianluca Ceruti, Christian Lubich, Hanna Walach:
Time Integration of Tree Tensor Networks. SIAM J. Numer. Anal. 59(1): 289-313 (2021)
Conference and Workshop Papers
- 2023
- [c2]Dayana Savostianova, Emanuele Zangrando, Gianluca Ceruti, Francesco Tudisco:
Robust low-rank training via approximate orthonormal constraints. NeurIPS 2023 - 2022
- [c1]Steffen Schotthöfer, Emanuele Zangrando, Jonas Kusch, Gianluca Ceruti, Francesco Tudisco:
Low-rank lottery tickets: finding efficient low-rank neural networks via matrix differential equations. NeurIPS 2022
Informal and Other Publications
- 2024
- [i14]Gianluca Ceruti, Lukas Einkemmer, Jonas Kusch, Christian Lubich:
A robust second-order low-rank BUG integrator based on the midpoint rule. CoRR abs/2402.08607 (2024) - [i13]Gianluca Ceruti, Daniel Kressner, Dominik Sulz:
Low-rank Tree Tensor Network Operators for Long-Range Pairwise Interactions. CoRR abs/2405.09952 (2024) - 2023
- [i12]Gianluca Ceruti, Jonas Kusch, Christian Lubich:
A parallel rank-adaptive integrator for dynamical low-rank approximation. CoRR abs/2304.05660 (2023) - [i11]Emanuele Zangrando, Steffen Schotthöfer, Gianluca Ceruti, Jonas Kusch, Francesco Tudisco:
Rank-adaptive spectral pruning of convolutional layers during training. CoRR abs/2305.19059 (2023) - [i10]Dayana Savostianova, Emanuele Zangrando, Gianluca Ceruti, Francesco Tudisco:
Robust low-rank training via approximate orthonormal constraints. CoRR abs/2306.01485 (2023) - [i9]Axel Séguin, Gianluca Ceruti, Daniel Kressner:
From low-rank retractions to dynamical low-rank approximation and back. CoRR abs/2309.06125 (2023) - 2022
- [i8]Gianluca Ceruti, Christian Lubich, Dominik Sulz:
Rank-adaptive time integration of tree tensor networks. CoRR abs/2201.10291 (2022) - [i7]Steffen Schotthöfer, Emanuele Zangrando, Jonas Kusch, Gianluca Ceruti, Francesco Tudisco:
Low-rank lottery tickets: finding efficient low-rank neural networks via matrix differential equations. CoRR abs/2205.13571 (2022) - 2021
- [i6]Gianluca Ceruti, Jonas Kusch, Christian Lubich:
A rank-adaptive robust integrator for dynamical low-rank approximation. CoRR abs/2104.05247 (2021) - [i5]Jonas Kusch, Gianluca Ceruti, Lukas Einkemmer, Martin Frank:
Dynamical low-rank approximation for Burgers' equation with uncertainty. CoRR abs/2105.04358 (2021) - [i4]Jonas Kusch, Lukas Einkemmer, Gianluca Ceruti:
On the stability of robust dynamical low-rank approximations for hyperbolic problems. CoRR abs/2107.07282 (2021) - 2020
- [i3]Gianluca Ceruti, Christian Lubich, Hanna Walach:
Time integration of tree tensor networks. CoRR abs/2002.11392 (2020) - [i2]Gianluca Ceruti, Christian Lubich:
An unconventional robust integrator for dynamical low-rank approximation. CoRR abs/2010.02022 (2020) - 2019
- [i1]Gianluca Ceruti, Christian Lubich:
Time integration of symmetric and anti-symmetric low-rank matrices and Tucker tensors. CoRR abs/1906.01369 (2019)
Coauthor Index
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