Gianluca Ceruti

According to our database, Gianluca Ceruti authored at least 20 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

A Galerkin Alternating Projection Method for Kinetic Equations in the Diffusive Limit.

Gianluca Ceruti, Nicolas Crouseilles, Lukas Einkemmer

CoRR, May, 2025

A Reduced Augmentation Implicit Low-rank (RAIL) integrator for solving three-dimensional diffusion and advection-diffusion equations in the Tucker tensor format.

Joseph Nakao, Gianluca Ceruti, Lukas Einkemmer

CoRR, March, 2025

Low-Rank Tree Tensor Network Operators for Long-Range Pairwise Interactions.

Gianluca Ceruti, Daniel Kressner, Dominik Sulz

SIAM J. Sci. Comput., 2025

Randomized Low-Rank Runge-Kutta Methods.

Hei Yin Lam, Gianluca Ceruti, Daniel Kressner

SIAM J. Matrix Anal. Appl., 2025

GeoLoRA: Geometric integration for parameter efficient fine-tuning.

Steffen Schotthöfer, Emanuele Zangrando, Gianluca Ceruti, Francesco Tudisco, Jonas Kusch

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

A Parallel Rank-Adaptive Integrator for Dynamical Low-Rank Approximation.

Gianluca Ceruti, Jonas Kusch, Christian Lubich

SIAM J. Sci. Comput., 2024

A parallel Basis Update and Galerkin Integrator for Tree Tensor Networks.

Gianluca Ceruti, Jonas Kusch, Christian Lubich, Dominik Sulz

CoRR, 2024

A robust second-order low-rank BUG integrator based on the midpoint rule.

Gianluca Ceruti, Lukas Einkemmer, Jonas Kusch, Christian Lubich

CoRR, 2024

Geometry-aware training of factorized layers in tensor Tucker format.

Emanuele Zangrando, Steffen Schotthöfer, Gianluca Ceruti, Jonas Kusch, Francesco Tudisco

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

On the Stability of Robust Dynamical Low-Rank Approximations for Hyperbolic Problems.

Jonas Kusch, Lukas Einkemmer, Gianluca Ceruti

SIAM J. Sci. Comput., February, 2023

Rank-Adaptive Time Integration of Tree Tensor Networks.

Gianluca Ceruti, Christian Lubich, Dominik Sulz

SIAM J. Numer. Anal., February, 2023

From low-rank retractions to dynamical low-rank approximation and back.

Axel Séguin, Gianluca Ceruti, Daniel Kressner

CoRR, 2023

Rank-adaptive spectral pruning of convolutional layers during training.

Emanuele Zangrando, Steffen Schotthöfer, Gianluca Ceruti, Jonas Kusch, Francesco Tudisco

CoRR, 2023

Robust low-rank training via approximate orthonormal constraints.

Dayana Savostianova, Emanuele Zangrando, Gianluca Ceruti, Francesco Tudisco

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Low-rank lottery tickets: finding efficient low-rank neural networks via matrix differential equations.

Steffen Schotthöfer, Emanuele Zangrando, Jonas Kusch, Gianluca Ceruti, Francesco Tudisco

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Time Integration of Tree Tensor Networks.

Gianluca Ceruti, Christian Lubich, Hanna Walach

SIAM J. Numer. Anal., 2021

Dynamical low-rank approximation for Burgers' equation with uncertainty.

Jonas Kusch, Gianluca Ceruti, Lukas Einkemmer, Martin Frank

CoRR, 2021

A rank-adaptive robust integrator for dynamical low-rank approximation.

Gianluca Ceruti, Jonas Kusch, Christian Lubich

CoRR, 2021

2020

An unconventional robust integrator for dynamical low-rank approximation.

Gianluca Ceruti, Christian Lubich

CoRR, 2020

2019

Time integration of symmetric and anti-symmetric low-rank matrices and Tucker tensors.

Gianluca Ceruti, Christian Lubich

CoRR, 2019