Theodore Papamarkou
Manchester University
H-index: 18
North America-United States
Top articles of Theodore Papamarkou
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Bayesian neural networks and dimensionality reduction | Handbook of Bayesian, Fiducial, and Frequentist Inference | Deborshee Sen Theodore Papamarkou David Dunson | 2024 |
TopoX: a suite of Python packages for machine learning on topological domains | arXiv preprint arXiv:2402.02441 | Mustafa Hajij Mathilde Papillon Florian Frantzen Jens Agerberg Ibrahem AlJabea | 2024/2/4 |
Position paper: challenges and opportunities in topological deep learning | Theodore Papamarkou Tolga Birdal Michael Bronstein Gunnar Carlsson Justin Curry | 2024/2/14 | |
Probability-generating function kernels for spherical data | arXiv preprint arXiv:2112.00365 | Theodore Papamarkou Alexey Lindo | 2024/2/1 |
Position paper: Bayesian deep learning in the age of large-scale AI | Theodore Papamarkou Maria Skoularidou Konstantina Palla Laurence Aitchison Julyan Arbel | 2024/2 | |
Connecting the dots: is mode-connectedness the key to feasible sample-based inference in Bayesian neural networks? | arXiv preprint arXiv:2402.01484 | Emanuel Sommer Lisa Wimmer Theodore Papamarkou Ludwig Bothmann Bernd Bischl | 2024/2/2 |
Bayesian random persistence diagram generation: an application to material microstructure analysis | Foundations of Data Science (to appear) | Farzana Nasrin Theodore Papamarkou Austin Lawson Na Gong Orlando Rios | 2024/4 |
Mapping the state of the art: artificial intelligence for decision-making in financial crime | Borja Martínez Richard Allmendinger Hadi Akbarzadeh Khorshidi Theodore Papamarkou Andre Feitas | 2023/7/20 | |
ICML 2023 topological deep learning challenge: design and results | Mathilde Papillon Mustafa Hajij Audun Myers Florianand Frantzen Ghada Zamzmi | 2023/9/27 | |
Depth-2 neural networks under a data-poisoning attack | Neurocomputing | Sayar Karmakar Anirbit Mukherjee Theodore Papamarkou | 2023/5/1 |
Topological deep learning: going beyond graph data | arXiv preprint arXiv:2206.00606 | Mustafa Hajij Ghada Zamzmi Theodore Papamarkou Nina Miolane Aldo Guzmán-Sáenz | 2023/4/21 |
Combinatorial complexes: bridging the gap between cell complexes and hypergraphs | Mustafa Hajij Ghada Zamzmi Theodore Papamarkou AIdo Guzman-Saenz ToIga Birdal | 2023/10/29 | |
Model-agnostic variable importance for predictive uncertainty: an entropy-based approach | arXiv preprint arXiv:2310.12842 | Danny Wood Theodore Papamarkou Matt Benatan Richard Allmendinger | 2023/10/19 |
Towards efficient MCMC sampling in Bayesian neural networks by exploiting symmetry | Jonas Gregor Wiese Lisa Wimmer Theodore Papamarkou Bernd Bischl Stephan Günnemann | 2023/9/17 | |
Towards faster gene expression prediction via dimensionality reduction and feature selection | Jeremy Watts Elexis Allen Ahmad Mitoubsi Anahita Khojandi James Eales | 2023/7/24 | |
Approximate blocked Gibbs sampling for Bayesian neural networks | Statistics and Computing | Theodore Papamarkou | 2023/8/10 |
Simplicial complex representation learning | Mustafa Hajij Ghada Zamzmi Theodore Papamarkou Vasileios Maroulas Xuanting Cai | 2022/2 | |
The inverse problem for controlled differential equations | arXiv preprint arXiv:2201.10300 | Anastasia Papavasiliou Theodore Papamarkou Yang Zhao | 2022/1/26 |
Adapting random forests to predict obesity-associated gene expression | Jeremy Watts Elexis Allen Ahmad Mitoubsi Anahita Khojandi James Eales | 2022/7/11 | |
A random persistence diagram generator | Statistics and Computing | Theodore Papamarkou Farzana Nasrin Austin Lawson Na Gong Orlando Rios | 2022/10 |
Co-Authors
