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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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Theodore Fingerhuth

Theodore Wyckoff

Theodore Esselborn

Theodore Guillery

Theodore Runyon

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Distributions.jl: Definition and Modeling of Probability Distributions in the JuliaStats Ecosystem.M. Besançon, D. Anthoff, A. Arslan, S. Byrne, D. Lin, T. Papamarkou, and J. Pearson. CoRR, (2019)Gender Differences in Equity Crowdfunding.E. Horvát, and T. Papamarkou. HCOMP, page 51-60. AAAI Press, (2017)TopoX: A Suite of Python Packages for Machine Learning on Topological Domains.M. Hajij, M. Papillon, F. Frantzen, J. Agerberg, I. AlJabea, R. Ballester, C. Battiloro, G. Bernárdez, T. Birdal, A. Brent and 33 other author(s). CoRR, (2024)Random Persistence Diagram Generation.F. Nasrin, T. Papamarkou, and V. Maroulas. CoRR, (2021)Mixed neural network Gaussian processes.A. Lindo, T. Papamarkou, S. Sagitov, and L. Stewart. CoRR, (2021)Model-agnostic variable importance for predictive uncertainty: an entropy-based approach.D. Wood, T. Papamarkou, M. Benatan, and R. Allmendinger. CoRR, (2023)ICML 2023 Topological Deep Learning Challenge: Design and Results.M. Papillon, M. Hajij, A. Myers, F. Frantzen, G. Zamzmi, H. Jenne, J. Mathe, J. Hoppe, M. Schaub, T. Papamarkou and 52 other author(s). TAG-ML, volume 221 of Proceedings of Machine Learning Research, page 3-8. PMLR, (2023)Depth-2 neural networks under a data-poisoning attack.S. Karmakar, A. Mukherjee, and T. Papamarkou. Neurocomputing, (May 2023)Combinatorial Complexes: Bridging the Gap Between Cell Complexes and Hypergraphs.M. Hajij, G. Zamzmi, T. Papamarkou, A. Guzmán-Sáenz, T. Birdal, and M. Schaub. CoRR, (2023)Automated detection of pitting and stress corrosion cracks in used nuclear fuel dry storage canisters using residual neural networks.T. Papamarkou, H. Guy, B. Kroencke, J. Miller, P. Robinette, D. Schultz, J. Hinkle, L. Pullum, C. Schuman, J. Renshaw and 1 other author(s). CoRR, (2020)

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Disambiguation of "Papamarkou, Theodore"

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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

Theodore Fingerhuth

Theodore Wyckoff

Theodore Esselborn

Theodore Guillery

Theodore Runyon

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Papamarkou, Theodore"

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

Theodore Fingerhuth

Theodore Wyckoff

Theodore Esselborn

Theodore Guillery

Theodore Runyon

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.