Georgios Kissas

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 9

Top Topics

Variational Methods

Highly Scalable

Top Venues

J. Mach. Learn. Res.

Publications

Levi E. Lingsch, Dana Grund, Siddhartha Mishra, Georgios Kissas
FUSE: Fast Unified Simulation and Estimation for PDEs. CoRR (2024)
Jacob H. Seidman, Georgios Kissas, George J. Pappas, Paris Perdikaris
Variational Autoencoding Neural Operators. ICML (2023)
Jacob H. Seidman, Georgios Kissas, George J. Pappas, Paris Perdikaris
Variational Autoencoding Neural Operators. CoRR (2023)
Yibo Yang, Georgios Kissas, Paris Perdikaris
Scalable Uncertainty Quantification for Deep Operator Networks using Randomized Priors. CoRR (2022)
Jacob H. Seidman, Georgios Kissas, Paris Perdikaris, George J. Pappas
NOMAD: Nonlinear Manifold Decoders for Operator Learning. CoRR (2022)
Georgios Kissas, Jacob H. Seidman, Leonardo Ferreira Guilhoto, Victor M. Preciado, George J. Pappas, Paris Perdikaris
Learning Operators with Coupled Attention. J. Mach. Learn. Res. 23 (2022)
Jacob H. Seidman, Georgios Kissas, Paris Perdikaris, George J. Pappas
NOMAD: Nonlinear Manifold Decoders for Operator Learning. NeurIPS (2022)
Georgios Kissas, Jacob H. Seidman, Leonardo Ferreira Guilhoto, Victor M. Preciado, George J. Pappas, Paris Perdikaris
Learning Operators with Coupled Attention. CoRR (2022)
Georgios Kissas, Yibo Yang, Eileen Hwuang, Walter R. Witschey, John A. Detre, Paris Perdikaris
Machine learning in cardiovascular flows modeling: Predicting pulse wave propagation from non-invasive clinical measurements using physics-informed deep learning. CoRR (2019)