Georgios Kissas

According to our database, Georgios Kissas authored at least 7 papers between 2019 and 2024.

Collaborative distances:

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

2024

Accelerated Patient-Specific Calibration via Differentiable Hemodynamics Simulations.

Diego Renner, Georgios Kissas

CoRR, 2024

FUSE: Fast Unified Simulation and Estimation for PDEs.

Levi E. Lingsch, Dana Grund, Siddhartha Mishra, Georgios Kissas

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

2023

Variational Autoencoding Neural Operators.

Jacob H. Seidman, Georgios Kissas, George J. Pappas, Paris Perdikaris

Proceedings of the International Conference on Machine Learning, 2023

2022

Learning Operators with Coupled Attention.

Georgios Kissas, Jacob H. Seidman, Leonardo Ferreira Guilhoto, Victor M. Preciado, George J. Pappas, Paris Perdikaris

J. Mach. Learn. Res., 2022

Scalable Uncertainty Quantification for Deep Operator Networks using Randomized Priors.

Yibo Yang, Georgios Kissas, Paris Perdikaris

CoRR, 2022

NOMAD: Nonlinear Manifold Decoders for Operator Learning.

Jacob H. Seidman, Georgios Kissas, Paris Perdikaris, George J. Pappas

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

2019

Machine learning in cardiovascular flows modeling: Predicting pulse wave propagation from non-invasive clinical measurements using physics-informed deep learning.

Georgios Kissas, Yibo Yang, Eileen Hwuang, Walter R. Witschey, John A. Detre, Paris Perdikaris

CoRR, 2019