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/...
Sähköposti
[email protected]
Puhelinnumero
+358503071976
Osaamisalueet
113 Computer and information sciences, Computational data analysis
Palkinnot
Positive Semi-Definite Circuits
HIIT short term project
Granted funding (public project funding)
Department of Computer Science
Nov 2022
Tutkimusryhmät
- Professorship Solin A., Postdoctoral Researcher
Julkaisut
Fixing Overconfidence in Dynamic Neural Networks
Lassi Meronen, Martin Trapp, Andrea Pilzer, Le Yang, Arno Solin
2024
Proceedings - 2024 IEEE Winter Conference on Applications of Computer Vision, WACV 2024
Characteristic Circuits
Zhongjie Yu, Martin Trapp, Kristian Kersting
2024
Advances in Neural Information Processing Systems 36 - 37th Conference on Neural Information Processing Systems, NeurIPS 2023
Transport with Support : Data-Conditional Diffusion Bridges
Ella Tamir, Martin Trapp, Arno Solin
2023
Transactions on Machine Learning Research
Logarithm-Approximate Floating-Point Multiplier for Hardware-efficient Inference in Probabilistic Circuits
Lingyun Yao, Martin Trapp, Karthekeyan Periasamy, Jelin Leslin, Gaurav Singh, Martin Andraud
2023
The Robust Semantic Segmentation UNCV2023 Challenge Results
Xuanlong Yu, Yi Zuo, Zitao Wang, Xiaowen Zhang, Jiaxuan Zhao, Yuting Yang, Licheng Jiao, Rui Peng, Xinyi Wang, Junpei Zhang, Kexin Zhang, Fang Liu, Roberto Alcover-Couso, Juan C. SanMiguel, Marcos Escudero-Viñolo, Hanlin Tian, Kenta Matsui, Tianhao Wang, Fahmy Adan, Zhitong Gao, Xuming He, Quentin Bouniot, Hossein Moghaddam, Shyam Nandan Rai, Fabio Cermelli, Carlo Masone, Andrea Pilzer, Elisa Ricci, Andrei Bursuc, Arno Solin, Martin Trapp, Rui Li, Angela Yao, Wenlong Chen, Ivor Simpson, Neill D. F. Campbell, Gianni Franchi
2023
2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)
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