Martin Trapp

Postdoctoral Researcher
Postdoctoral Researcher
T313 Dept. Computer Science

Probabilistic Machine Learning, Probabilistic Circuits, Probabilistic Programming, Bayesian nonparametrics

Full researcher profile


[email protected]


113 Computer and information sciences, Computational data analysis


Positive Semi-Definite Circuits

HIIT short term project
Granted funding (public project funding) Department of Computer Science Nov 2022


  • Professorship Solin A., Postdoctoral Researcher


Logarithm-Approximate Floating-Point Multiplier for Hardware-efficient Inference in Probabilistic Circuits

Martin Andraud, Lingyun Yao, Martin Trapp, Jelin Leslin, Karthekeyan Periasamy, Gaurav Singh 2023

Transport with Support : Data-Conditional Diffusion Bridges

Ella Tamir, Martin Trapp, Arno Solin 2023 Transactions on Machine Learning Research

Characteristic Circuits

Zhongjie Yu, Martin Trapp, Kristian Kersting 2023 Advances in Neural Information Processing Systems 36 (NeurIPS 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

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)