Georgios Kissas

14 papers A* 3Journal 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Phaedra: Learning High-Fidelity Discrete Tokenization for the Physical Science. CoRR Levi E. Lingsch, Georgios Kissas, Johannes Jakubik, Siddhartha Mishra
2025	J	`jnl`	Grammar-based Ordinary Differential Equation Discovery. CoRR Karin L. Yu, Eleni N. Chatzi, Georgios Kissas
2025	J	`jnl`	Neuro-Symbolic AI for Analytical Solutions of Differential Equations. CoRR Orestis Oikonomou, Levi E. Lingsch, Dana Grund, Siddhartha Mishra, Georgios Kissas
2024	J	`jnl`	Accelerated Patient-Specific Calibration via Differentiable Hemodynamics Simulations. CoRR Diego Renner, Georgios Kissas
2024	A*	`conf`	FUSE: Fast Unified Simulation and Estimation for PDEs. NeurIPS Levi E. Lingsch, Dana Grund, Siddhartha Mishra, Georgios Kissas
2024	J	`jnl`	FUSE: Fast Unified Simulation and Estimation for PDEs. CoRR Levi E. Lingsch, Dana Grund, Siddhartha Mishra, Georgios Kissas
2023	A*	`conf`	Variational Autoencoding Neural Operators. ICML Jacob H. Seidman, Georgios Kissas, George J. Pappas, Paris Perdikaris
2023	J	`jnl`	Variational Autoencoding Neural Operators. CoRR Jacob H. Seidman, Georgios Kissas, George J. Pappas, Paris Perdikaris
2022	J	`jnl`	Learning Operators with Coupled Attention. CoRR Georgios Kissas, Jacob H. Seidman, Leonardo Ferreira Guilhoto, Victor M. Preciado, George J. Pappas, Paris Perdikaris
2022	J	`jnl`	Learning Operators with Coupled Attention. J. Mach. Learn. Res. Georgios Kissas, Jacob H. Seidman, Leonardo Ferreira Guilhoto, Victor M. Preciado, George J. Pappas, Paris Perdikaris
2022	A*	`conf`	NOMAD: Nonlinear Manifold Decoders for Operator Learning. NeurIPS Jacob H. Seidman, Georgios Kissas, Paris Perdikaris, George J. Pappas
2022	J	`jnl`	NOMAD: Nonlinear Manifold Decoders for Operator Learning. CoRR Jacob H. Seidman, Georgios Kissas, Paris Perdikaris, George J. Pappas
2022	J	`jnl`	Scalable Uncertainty Quantification for Deep Operator Networks using Randomized Priors. CoRR Yibo Yang, Georgios Kissas, Paris Perdikaris
2019	J	`jnl`	Machine learning in cardiovascular flows modeling: Predicting pulse wave propagation from non-invasive clinical measurements using physics-informed deep learning. CoRR Georgios Kissas, Yibo Yang, Eileen Hwuang, Walter R. Witschey, John A. Detre, Paris Perdikaris