no code implementations • 2 Nov 2023 • Niket Patel, Luis Salamanca, Luis Barba
Diffusion models have emerged as a pivotal advancement in generative models, setting new standards to the quality of the generated instances.
no code implementations • 30 Oct 2023 • Gökberk Özsoy, Luis Salamanca, Matthew Connelly, Raymond Hicks, Fernando Pérez-Cruz
In the current paper, we present the KG-FRUS dataset, comprised of more than 300, 000 US government diplomatic documents encoded in a Knowledge Graph (KG).
no code implementations • 29 Nov 2022 • Vera M. Balmer, Sophia V. Kuhn, Rafael Bischof, Luis Salamanca, Walter Kaufmann, Fernando Perez-Cruz, Michael A. Kraus
For conceptual design, engineers rely on conventional iterative (often manual) techniques.
1 code implementation • 26 Feb 2016 • Florian Bernard, Luis Salamanca, Johan Thunberg, Alexander Tack, Dennis Jentsch, Hans Lamecker, Stefan Zachow, Frank Hertel, Jorge Goncalves, Peter Gemmar
Estimating the parameters of the GMM in a maximum a posteriori manner yields the reconstruction of the surface from the given data points.
no code implementations • NeurIPS 2011 • Pablo M. Olmos, Luis Salamanca, Juan Fuentes, Fernando Pérez-Cruz
We show an application of a tree structure for approximate inference in graphical models using the expectation propagation algorithm.