Inhibition enhances memory capacity: optimal feedback, transient replay and oscillations. - Axel Kammerer; Álvaro Tejero-Cantero; Christian Leibold (J. Comput. Neurosci., 2013)

NeuronDepot: keeping your colleagues in sync by combining modern cloud storage services, the local file system, and simple web applications. - Philipp L. Rautenberg; Ajayrama Kumaraswamy; Álvaro Tejero-Cantero; Christoph Doblander; Mohammad Norouzian; Kazuki Kai; Hans-Arno Jacobsen; Hiroyuki Ai; Thomas Wachtler; Hidetoshi Ikeno (Frontiers Neuroinformatics, 2014)

Spectrally resolved fast transient brain states in electrophysiological data. - Diego Vidaurre; Andrew J. Quinn 003; Adam P. Baker; David Dupret; Álvaro Tejero-Cantero; Mark W. Woolrich (NeuroImage, 2016)

sbi: A toolkit for simulation-based inference. - Álvaro Tejero-Cantero; Jan Boelts; Michael Deistler; Jan-Matthis Lueckmann; Conor Durkan; Pedro J. Gonçalves; David S. Greenberg; Jakob H. Macke (J. Open Source Softw., 2020)

GATSBI: Generative Adversarial Training for Simulation-Based Inference. - Poornima Ramesh; Jan-Matthis Lueckmann; Jan Boelts; Álvaro Tejero-Cantero; David S. Greenberg; Pedro J. Gonçalves; Jakob H. Macke (ICLR, 2022)

Spatiotemporal modeling of European paleoclimate using doubly sparse Gaussian processes. - Seth D. Axen; Alexandra Gessner; Christian Sommer 009; Nils Weitzel; Álvaro Tejero-Cantero (CoRR, 2022)

Predictive, scalable and interpretable knowledge tracing on structured domains. - Hanqi Zhou; Robert Bamler; Charley M. Wu; Álvaro Tejero-Cantero (ICLR, 2024)

Fast and Reliable Probabilistic Reflectometry Inversion with Prior-Amortized Neural Posterior Estimation. - Vladimir Starostin; Maximilian Dax; Alexander Gerlach; Alexander Hinderhofer; Álvaro Tejero-Cantero; Frank Schreiber (CoRR, 2024)

Scientific Inference with Interpretable Machine Learning: Analyzing Models to Learn About Real-World Phenomena. - Timo Freiesleben; Gunnar König; Christoph Molnar; Álvaro Tejero-Cantero (Minds Mach., 2024)

sbi reloaded: a toolkit for simulation-based inference workflows. - Jan Boelts; Michael Deistler; Manuel Glöckler; Álvaro Tejero-Cantero; Jan-Matthis Lueckmann; Guy Moss 001; Peter Steinbach; Thomas Moreau 001; Fabio Muratore; Julia Linhart; Conor Durkan; Julius Vetter; et al. (J. Open Source Softw., 2025)