Dimitris G. Giovanis

16 papers Journal 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Enabling probabilistic learning on manifolds through double diffusion maps. J. Comput. Phys. Dimitris G. Giovanis, Nikolaos Evangelou, Ioannis G. Kevrekidis, Roger G. Ghanem
2026	J	`jnl`	Generative learning for slow manifolds and bifurcation diagrams. Comput. Chem. Eng. Ellis R. Crabtree, Dimitris G. Giovanis, Nikolaos Evangelou, Juan M. Bello-Rivas, Ioannis G. Kevrekidis
2025	J	`jnl`	Enabling Probabilistic Learning on Manifolds through Double Diffusion Maps. CoRR Dimitris G. Giovanis, Nikolaos Evangelou, Ioannis G. Kevrekidis, Roger G. Ghanem
2025	J	`jnl`	Generative Learning for Slow Manifolds and Bifurcation Diagrams. CoRR Ellis R. Crabtree, Dimitris G. Giovanis, Nikolaos Evangelou, Juan M. Bello-Rivas, Ioannis G. Kevrekidis
2025	J	`jnl`	Generative Learning of Densities on Manifolds. CoRR Dimitris G. Giovanis, Ellis R. Crabtree, Roger G. Ghanem, Ioannis G. Kevrekidis
2025	J	`jnl`	Neural Operators for Stochastic Modeling of Nonlinear Structural System Response to Natural Hazards. CoRR Somdatta Goswami, Dimitris G. Giovanis, Bowei Li, Seymour M. J. Spence, Michael D. Shields
2025	J	`jnl`	On Some Tunable Multi-fidelity Bayesian Optimization Frameworks. CoRR Arjun Manoj, Anastasia S. Georgiou, Dimitris G. Giovanis, Themistoklis P. Sapsis, Ioannis G. Kevrekidis
2025	J	`jnl`	UQpy Version 4.2: Uncertainty quantification with Python. SoftwareX Connor Krill, Ponkrshnan Thiagarajan, George D. Pasparakis, Somdatta Goswami, Dimitrios Tsapetis, Dimitris G. Giovanis, Michael D. Shields
2024	J	`jnl`	Polynomial Chaos Expansions on Principal Geodesic Grassmannian Submanifolds for Surrogate Modeling and Uncertainty Quantification. CoRR Dimitris G. Giovanis, Dimitrios Loukrezis, Ioannis G. Kevrekidis, Michael D. Shields
2024	J	`jnl`	Polynomial chaos expansions on principal geodesic Grassmannian submanifolds for surrogate modeling and uncertainty quantification. J. Comput. Phys. Dimitris G. Giovanis, Dimitrios Loukrezis, Ioannis G. Kevrekidis, Michael D. Shields
2023	J	`jnl`	UQpy v4.1: Uncertainty Quantification with Python. CoRR Dimitrios Tsapetis, Michael D. Shields, Dimitris G. Giovanis, Audrey Olivier, Lukás Novák, Promit Chakroborty, Himanshu Sharma, Mohit Singh Chauhan, Katiana Kontolati, Lohit Vandanapu, Dimitrios Loukrezis, Michael Gardner
2023	J	`jnl`	UQpy v4.1: Uncertainty quantification with Python. SoftwareX Dimitrios Tsapetis, Michael D. Shields, Dimitris G. Giovanis, Audrey Olivier, Lukás Novák, Promit Chakroborty, Himanshu Sharma, Mohit Singh Chauhan, Katiana Kontolati, Lohit Vandanapu, Dimitrios Loukrezis, Michael Gardner
2020	J	`jnl`	Data-driven surrogates for high dimensional models using Gaussian process regression on the Grassmann manifold. CoRR Dimitris G. Giovanis, Michael D. Shields
2020	J	`jnl`	Grassmannian diffusion maps based dimension reduction and classification for high-dimensional data. CoRR K. R. M. dos Santos, Dimitris G. Giovanis, Michael D. Shields
2020	J	`jnl`	UQpy: A general purpose Python package and development environment for uncertainty quantification. J. Comput. Sci. Audrey Olivier, Dimitris G. Giovanis, B. S. Aakash, Mohit Singh Chauhan, Lohit Vandanapu, Michael D. Shields
2018	J	`jnl`	Uncertainty quantification for complex systems with very high dimensional response using Grassmann manifold variations. J. Comput. Phys. Dimitris G. Giovanis, Michael D. Shields