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Position Paper: Bayesian Deep Learning in the Age of Large-Scale AI.

T. Papamarkou, M. Skoularidou, K. Palla, L. Aitchison, J. Arbel, D. Dunson, M. Filippone, V. Fortuin, P. Hennig, J. Hernández-Lobato, A. Hubin, A. Immer, T. Karaletsos, M. Khan, A. Kristiadi, Y. Li, S. Mandt, C. Nemeth, M. Osborne, T. Rudner, D. Rügamer, Y. Teh, M. Welling, A. Wilson, and R. Zhang. CoRR, (2024)

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Benoit Arbelot

Elena Arbelo Jorge

Catalina Arbeláez-Bolaños

Cristina Arbelo Román

Steven Arbeltier

Other publications of authors with the same name

Reparameterization of extreme value framework for improved Bayesian workflow.T. Moins, J. Arbel, S. Girard, and A. Dutfoy. Comput. Stat. Data Anal., (November 2023)Efficient Neural Networks for Tiny Machine Learning: A Comprehensive Review.M. Le, P. Wolinski, and J. Arbel. CoRR, (2023)Something for (almost) nothing: Improving deep ensemble calibration using unlabeled data.K. Pitas, and J. Arbel. CoRR, (2023)Understanding Priors in Bayesian Neural Networks at the Unit Level.M. Vladimirova, J. Verbeek, P. Mesejo, and J. Arbel. ICML, volume 97 of Proceedings of Machine Learning Research, page 6458-6467. PMLR, (2019)Imposing Gaussian Pre-Activations in a Neural Network.P. Wolinski, and J. Arbel. CoRR, (2022)Covariance-Adaptive Least-Squares Algorithm for Stochastic Combinatorial Semi-Bandits.J. Zhou, P. Gaillard, T. Rahier, H. Zenati, and J. Arbel. CoRR, (2024)Quantitative Mri Characterization of Brain Abnormalities in DE NOVO Parkinsonian Patients.V. Ramírez, F. Forbes, J. Arbel, A. Arnaud, and M. Dojat. ISBI, page 1572-1575. IEEE, (2019)Summary statistics and discrepancy measures for approximate Bayesian computation via surrogate posteriors.F. Forbes, H. Nguyen, T. Nguyen, and J. Arbel. Stat. Comput., 32 (5): 85 (2022)Approximate Bayesian Computation Via the Energy Statistic.H. Nguyen, J. Arbel, H. Lü, and F. Forbes. IEEE Access, (2020)Position Paper: Bayesian Deep Learning in the Age of Large-Scale AI.T. Papamarkou, M. Skoularidou, K. Palla, L. Aitchison, J. Arbel, D. Dunson, M. Filippone, V. Fortuin, P. Hennig, J. Hernández-Lobato and 15 other author(s). CoRR, (2024)

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Disambiguation of "Arbel, Julyan"

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Position Paper: Bayesian Deep Learning in the Age of Large-Scale AI.

Please choose a person to relate this publication to

Benoit Arbelot

Elena Arbelo Jorge

Catalina Arbeláez-Bolaños

Cristina Arbelo Román

Steven Arbeltier

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Arbel, Julyan"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Position Paper: Bayesian Deep Learning in the Age of Large-Scale AI.

Please choose a person to relate this publication to

Benoit Arbelot

Elena Arbelo Jorge

Catalina Arbeláez-Bolaños

Cristina Arbelo Román

Steven Arbeltier

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Position Paper: Bayesian Deep Learning in the Age of Large-Scale AI.