Theodore Papamarkou
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
9
Venues
7
Active years
2017–2024
Best venue rank
A*
Where they publish
Papers
9 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ICANN | Probability-Generating Function Kernels for Spherical Data. | Theodore Papamarkou, Alexey Lindo |
| 2024 | ICML | Position: Topological Deep Learning is the New Frontier for Relational Learning. | Theodore Papamarkou, Tolga Birdal, Michael M. Bronstein, Gunnar E. Carlsson, Justin Curry, Yue Gao, Mustafa Hajij, Roland Kwitt, Pietro Lio, Paolo Di Lorenzo, Vasileios Maroulas, Nina Miolane, Farzana Nasrin, Karthikeyan Natesan Ramamurthy, Bastian Rieck, Simone Scardapane, Michael T. Schaub, Petar Velickovic, Bei Wang, Yusu Wang, Guo-Wei Wei, Ghada Zamzmi |
| 2024 | ICML | Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI. | Theodore Papamarkou, Maria Skoularidou, Konstantina Palla, Laurence Aitchison, Julyan Arbel, David B. Dunson, Maurizio Filippone, Vincent Fortuin, Philipp Hennig, Jos Miguel Hernndez-Lobato, Aliaksandr Hubin, Alexander Immer, Theofanis Karaletsos, Mohammad Emtiyaz Khan, Agustinus Kristiadi, Yingzhen Li, Stephan Mandt, Christopher Nemeth, Michael A. Osborne, Tim G. J. Rudner, David Rgamer, Yee Whye Teh, Max Welling, Andrew Gordon Wilson, Ruqi Zhang |
| 2024 | ICML | Connecting the Dots: Is Mode-Connectedness the Key to Feasible Sample-Based Inference in Bayesian Neural Networks? | Emanuel Sommer, Lisa Wimmer, Theodore Papamarkou, Ludwig Bothmann, Bernd Bischl, David Rgamer |
| 2024 | IJCAI | Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting Symmetry (Extended Abstract). | Jonas Gregor Wiese, Lisa Wimmer, Theodore Papamarkou, Bernd Bischl, Stephan Gnnemann, David Rgamer |
| 2023 | ACSSC | Combinatorial Complexes: Bridging the Gap Between Cell Complexes and Hypergraphs. | Mustafa Hajij, Ghada Zamzmi, Theodore Papamarkou, AIdo Guzman-Saenz, Tolga Birdal, Michael T. Schaub |
| 2021 | BIBE | Hidden Markov models as recurrent neural networks: An application to Alzheimer's disease. | Matt Baucum, Anahita Khojandi, Theodore Papamarkou |
| 2018 | AISTATS | Multiphase MCMC Sampling for Parameter Inference in Nonlinear Ordinary Differential Equations. | Alan Lazarus, Dirk Husmeier, Theodore Papamarkou |
| 2017 | HCOMP | Gender Differences in Equity Crowdfunding. | Emoke-gnes Horvt, Theodore Papamarkou |