Martin Trapp
Postdoctoral Researcher
Postdoctoral Researcher
T313 Dept. Computer Science
Probabilistic Machine Learning, Probabilistic Circuits, Probabilistic Programming, Bayesian nonparametrics
Full researcher profile
https://research.aalto.fi/...
Areas of expertise
113 Computer and information sciences, Computational data analysis
Honors and awards
Positive Semi-Definite Circuits
HIIT short term project
Granted funding (public project funding)
Department of Computer Science
Nov 2022
Research groups
- Professorship Solin A., Postdoctoral Researcher
Publications
Anomaly Detection Using Generative Models and Sum-Product Networks in Mammography Scans
Marc Dietrichstein, David Major, Martin Trapp, Maria Wimmer, Dimitrios Lenis, Philip Winter, Astrid Berg, Theresa Neubauer, Katja Bühler
2022
Deep Generative Models - 2nd MICCAI Workshop, DGM4MICCAI 2022, Held in Conjunction with MICCAI 2022, Proceedings
A Hardware Perspective to Evaluating Probabilistic Circuits
Jelin Leslin, Antti Hyttinen, Karthekeyan Periasamy, Lingyun Yao, Martin Trapp, Martin Andraud
2022
Uncertainty-guided source-free domain adaptation
Subhankar Roy, Martin Trapp, Andrea Pilzer, Juho Kannala, Nicu Sebe, Elisa Ricci, Arno Solin
2022
Computer Vision – ECCV 2022
On Priors in Bayesian Probabilistic Circuits and Multivariate Pólya Trees
Martin Trapp, Arno Solin
2022
Towards Coreset Learning in Probabilistic Circuits
Martin Trapp, Steven Lang, Aastha Shah, Martin Mundt, Kristian Kersting, Arno Solin
2022
Periodic Activation Functions Induce Stationarity
Lassi Meronen, Martin Trapp, Arno Solin
2021
Advances in Neural Information Processing Systems 34 (NeurIPS 2021)
Leveraging Probabilistic Circuits for Nonparametric Multi-Output Regression
Zhongjie Yu, Mingye Zhu, Martin Trapp, Arseny Skryagin, Kristian Kersting
2021
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence