Mario Lino Valencia

According to our database, Mario Lino Valencia authored at least 8 papers between 2020 and 2025.

Collaborative distances:

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

2025

Learning Distributions of Complex Fluid Simulations with Diffusion Graph Networks.

Mario Lino Valencia, Tobias Pfaff, Nils Thuerey

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2023

Disentangled Generative Models for Robust Prediction of System Dynamics.

Stathi Fotiadis, Mario Lino Valencia, Shunlong Hu, Stef Garasto, Chris D. Cantwell, Anil Anthony Bharath

Proceedings of the International Conference on Machine Learning, 2023

2022

Towards Fast Simulation of Environmental Fluid Mechanics with Multi-Scale Graph Neural Networks.

Mario Lino, Stathi Fotiadis, Anil A. Bharath, Chris D. Cantwell

CoRR, 2022

REMuS-GNN: A Rotation-Equivariant Model for Simulating Continuum Dynamics.

Mario Lino, Stathi Fotiadis, Anil A. Bharath, Chris D. Cantwell

Proceedings of the Topological, 2022

2021

Disentangling ODE parameters from dynamics in VAEs.

Stathi Fotiadis, Mario Lino, Chris D. Cantwell, Anil A. Bharath

CoRR, 2021

Simulating Continuum Mechanics with Multi-Scale Graph Neural Networks.

Mario Lino, Chris D. Cantwell, Anil A. Bharath, Stathi Fotiadis

CoRR, 2021

2020

Simulating Surface Wave Dynamics with Convolutional Networks.

Mario Lino Valencia, Chris D. Cantwell, Stathi Fotiadis, Eduardo Pignatelli, Anil A. Bharath

CoRR, 2020

Comparing recurrent and convolutional neural networks for predicting wave propagation.

Stathi Fotiadis, Eduardo Pignatelli, Mario Lino Valencia, Chris D. Cantwell, Amos J. Storkey, Anil A. Bharath

CoRR, 2020