Álvaro Tejero-Cantero

According to our database, Álvaro Tejero-Cantero authored at least 10 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., September, 2024

sbi reloaded: a toolkit for simulation-based inference workflows.

Jan Boelts, Michael Deistler, Manuel Glöckler, Álvaro Tejero-Cantero, Jan-Matthis Lueckmann, Guy Moss, Peter Steinbach, Thomas Moreau, Fabio Muratore, Julia Linhart, Conor Durkan, Julius Vetter, Benjamin Kurt Miller, Maternus Herold, Abolfazl Ziaeemehr, Matthijs Pals, Theo Gruner, Sebastian Bischoff, Nastya Krouglova, Richard Gao, Janne K. Lappalainen, Bálint Mucsányi, Felix Pei, Auguste Schulz, Zinovia Stefanidi, Pedro Rodrigues, Cornelius Schröder, Faried Abu Zaid, Jonas Beck, Jaivardhan Kapoor, David S. Greenberg, Pedro J. Gonçalves, Jakob H. Macke

CoRR, 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

Predictive, scalable and interpretable knowledge tracing on structured domains.

Hanqi Zhou, Robert Bamler, Charley M. Wu, Álvaro Tejero-Cantero

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2022

Spatiotemporal modeling of European paleoclimate using doubly sparse Gaussian processes.

Seth D. Axen, Alexandra Gessner, Christian Sommer, Nils Weitzel, Álvaro Tejero-Cantero

CoRR, 2022

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

Proceedings of the Tenth International Conference on Learning Representations, 2022

2020

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

2016

Spectrally resolved fast transient brain states in electrophysiological data.

Diego Vidaurre, Andrew J. Quinn, Adam P. Baker, David Dupret, Álvaro Tejero-Cantero, Mark W. Woolrich

NeuroImage, 2016

2014

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

2013

Inhibition enhances memory capacity: optimal feedback, transient replay and oscillations.

Axel Kammerer, Álvaro Tejero-Cantero, Christian Leibold

J. Comput. Neurosci., 2013