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Álvaro Tejero-Cantero
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2020 – today
- 2024
- [j5]Timo Freiesleben
, Gunnar König, Christoph Molnar, Álvaro Tejero-Cantero:
Scientific Inference with Interpretable Machine Learning: Analyzing Models to Learn About Real-World Phenomena. Minds Mach. 34(3): 32 (2024) - [c2]Hanqi Zhou, Robert Bamler, Charley M. Wu, Álvaro Tejero-Cantero:
Predictive, scalable and interpretable knowledge tracing on structured domains. ICLR 2024 - [i6]Hanqi Zhou, Robert Bamler, Charley M. Wu, Álvaro Tejero-Cantero:
Predictive, scalable and interpretable knowledge tracing on structured domains. CoRR abs/2403.13179 (2024) - [i5]Vladimir Starostin, Maximilian Dax, Alexander Gerlach, Alexander Hinderhofer, Álvaro Tejero-Cantero, Frank Schreiber:
Fast and Reliable Probabilistic Reflectometry Inversion with Prior-Amortized Neural Posterior Estimation. CoRR abs/2407.18648 (2024) - 2022
- [c1]Poornima Ramesh, Jan-Matthis Lueckmann, Jan Boelts
, Álvaro Tejero-Cantero, David S. Greenberg, Pedro J. Gonçalves, Jakob H. Macke:
GATSBI: Generative Adversarial Training for Simulation-Based Inference. ICLR 2022 - [i4]Poornima Ramesh, Jan-Matthis Lueckmann, Jan Boelts, Álvaro Tejero-Cantero, David S. Greenberg, Pedro J. Gonçalves, Jakob H. Macke:
GATSBI: Generative Adversarial Training for Simulation-Based Inference. CoRR abs/2203.06481 (2022) - [i3]Timo Freiesleben, Gunnar König
, Christoph Molnar, Álvaro Tejero-Cantero:
Scientific Inference With Interpretable Machine Learning: Analyzing Models to Learn About Real-World Phenomena. CoRR abs/2206.05487 (2022) - [i2]Seth D. Axen, Alexandra Gessner, Christian Sommer
, Nils Weitzel, Álvaro Tejero-Cantero:
Spatiotemporal modeling of European paleoclimate using doubly sparse Gaussian processes. CoRR abs/2211.08160 (2022) - 2020
- [j4]Álvaro Tejero-Cantero
, Jan Boelts
, Michael Deistler
, Jan-Matthis Lueckmann
, Conor Durkan
, Pedro J. Gonçalves
, David S. Greenberg
, Jakob H. Macke
:
sbi: A toolkit for simulation-based inference. J. Open Source Softw. 5(52): 2505 (2020) - [i1]Álvaro Tejero-Cantero, Jan Boelts, Michael Deistler, Jan-Matthis Lueckmann, Conor Durkan, Pedro J. Gonçalves, David S. Greenberg, Jakob H. Macke:
SBI - A toolkit for simulation-based inference. CoRR abs/2007.09114 (2020)
2010 – 2019
- 2016
- [j3]Diego Vidaurre
, Andrew J. Quinn
, Adam P. Baker, David Dupret
, Álvaro Tejero-Cantero
, Mark W. Woolrich
:
Spectrally resolved fast transient brain states in electrophysiological data. NeuroImage 126: 81-95 (2016) - 2014
- [j2]Philipp L. Rautenberg, Ajayrama Kumaraswamy
, Álvaro Tejero-Cantero, Christoph Doblander, Mohammad Norouzian, Kazuki Kai, Hans-Arno Jacobsen, Hiroyuki Ai
, Thomas Wachtler
, Hidetoshi Ikeno
:
NeuronDepot: keeping your colleagues in sync by combining modern cloud storage services, the local file system, and simple web applications. Frontiers Neuroinformatics 8: 55 (2014) - 2013
- [j1]Axel Kammerer, Álvaro Tejero-Cantero, Christian Leibold
:
Inhibition enhances memory capacity: optimal feedback, transient replay and oscillations. J. Comput. Neurosci. 34(1): 125-136 (2013)
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last updated on 2024-08-25 20:10 CEST by the dblp team
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