Maurizio M. Chiaramonte

Orcid: 0000-0002-2529-3159

According to our database1, Maurizio M. Chiaramonte authored at least 14 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Low-Rank Koopman Deformables with Log-Linear Time Integration.
CoRR, February, 2026

2025
Force-Dual Modes: Subspace Design from Stochastic Forces.
ACM Trans. Graph., December, 2025

Shape Space Spectra.
ACM Trans. Graph., August, 2025

A Nonconforming Formulation of Cloth.
Proceedings of the SIGGRAPH Asia 2025 Conference Papers, 2025

2024
Neural Representation of Shape-Dependent Laplacian Eigenfunctions.
CoRR, 2024

2023
Model reduction for the material point method via an implicit neural representation of the deformation map.
J. Comput. Phys., April, 2023

Neural Stress Fields for Reduced-order Elastoplasticity and Fracture.
Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023

Learning Contact Deformations with General Collider Descriptors.
Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023

LiCROM: Linear-Subspace Continuous Reduced Order Modeling with Neural Fields.
Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023

CROM: Continuous Reduced-Order Modeling of PDEs Using Implicit Neural Representations.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Contact-centric deformation learning.
ACM Trans. Graph., 2022

HYFAR: A Textile Soft Actuator for Haptic Clothing Interfaces.
Proceedings of the SIGGRAPH '22: Special Interest Group on Computer Graphics and Interactive Techniques Conference, Posters, Vancouver BC Canada, August 7, 2022

2021
Model reduction for the material point method via learning the deformation map and its spatial-temporal gradients.
CoRR, 2021

Model Reduction for the Material Point Method on Nonlinear Manifolds Using Deep Learning.
Proceedings of the AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 22nd - to, 2021


  Loading...