Estimating Causal Effects Identifiable from a Combination of Observations and Experiments. - Yonghan Jung; Ivan Diaz; Jin Tian 001; Elias Bareinboim (NeurIPS, 2023)

An end-to-end SE(3)-equivariant segmentation network. - Ivan Diaz; Mario Geiger; Richard McKinley (CoRR, 2023)

Functional Verification of a RISC-V Vector Accelerator. - Víctor Jiménez; Mario Rodríguez; Marc Domínguez; Josep Sans; Ivan Diaz; Luca Valente; Vito Luca Guglielmi; Josue V. Quiroga; R. Ignacio Genovese; Nehir Sönmez; Oscar Palomar; Miquel Moretó (IEEE Des. Test, 2023)

Exploring Robustness of Cortical Morphometry in the presence of white matter lesions, using Diffusion Models for Lesion Filling. - Vinzenz Uhr; Ivan Diaz; Christian Rummel; Richard McKinley (CoRR, 2025)

Learning from spatially inhomogenous data: resolution-adaptive convolutions for multiple sclerosis lesion segmentation. - Ivan Diaz; Florin Scherer; Yanik Berli; Roland Wiest; Helly Hammer; Robert Hoepner; Alejandro Leon Betancourt; Piotr Radojewski; Richard McKinley (CoRR, 2025)