Definition and Composition of Motor Primitives Using Latent Force Models and Hidden Markov Models. - Diego Agudelo-España; Mauricio A. Álvarez; Álvaro Á. Orozco (CIARP, 2016)

Bayesian Online Detection and Prediction of Change Points. - Diego Agudelo-España; Sebastián Gómez-González; Stefan Bauer; Bernhard Schölkopf; Jan Peters 001 (CoRR, 2019)

A Real-Robot Dataset for Assessing Transferability of Learned Dynamics Models. - Diego Agudelo-España; Andrii Zadaianchuk; Philippe Wenk; Aditya Garg; Joel Akpo; Felix Grimminger; Julian Viereck; Maximilien Naveau; Ludovic Righetti; Georg Martius; Andreas Krause 001; Bernhard Schölkopf; et al. (ICRA, 2020)

Bayesian Online Prediction of Change Points. - Diego Agudelo-España; Sebastián Gómez-González; Stefan Bauer; Bernhard Schölkopf; Jan Peters 001 (UAI, 2020)

Shallow Representation is Deep: Learning Uncertainty-aware and Worst-case Random Feature Dynamics. - Diego Agudelo-España; Yassine Nemmour; Bernhard Schölkopf; Jia-Jie Zhu (CoRR, 2021)

Learning Random Feature Dynamics for Uncertainty Quantification. - Diego Agudelo-España; Yassine Nemmour; Bernhard Schölkopf; Jia-Jie Zhu (CDC, 2022)