Martin Trapp
Visitor
Visitor
T313 Dept. Computer Science
Probabilistic Machine Learning, Probabilistic Circuits, Probabilistic Programming, Bayesian nonparametrics
Full researcher profile
https://research.aalto.fi/...
Phone number
+358503071976
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
Publications
Mixed Precision HW Acceleration in PCs
Jelin Leslin, Martin Trapp, Martin Andraud
2026
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2024, Revised Selected Papers
Hardware-efficient tractable probabilistic inference for TinyML Neurosymbolic AI applications
Jelin Leslin, Martin Trapp, Martin Andraud
2025
2025 IEEE International Conference on Omni-Layer Intelligent Systems, COINS 2025
Flatness Improves Backbone Generalisation in Few-Shot Classification
Rui Li, Martin Trapp, Marcus Klasson, Arno Solin
2025
Proceedings - 2025 IEEE Winter Conference on Applications of Computer Vision, WACV 2025
Streamlining Prediction in Bayesian Deep Learning
Rui Li, Marcus Klasson, Arno Solin, Martin Trapp
2025
13th International Conference on Learning Representations, ICLR 2025
LUQ: Language Models Uncertainty Quantification Toolkit
Alexander Nikitin, Martin Trapp, Pekka Marttinen
2025
Approximate Bayesian Inference via Bitstring Representations
Aleksanteri Sladek, Martin Trapp, Arno Solin
2025
Proceedings of Machine Learning Research
LogSumExp: Efficient Approximate Logarithm Acceleration for Embedded Tractable Probabilistic Reasoning
Lingyun Yao, Shirui Zhao, Martin Trapp, Jelin Leslin, Marian Verhelst, Martin Andraud
2025
IEEE Transactions on Circuits and Systems I: Regular Papers
Subtractive Mixture Models via Squaring: Representation and Learning
Lorenzo Loconte, Aleksanteri Sladek, Stefan Mengel, Martin Trapp, Arno Solin, Nicolas Gillis, Antonio Vergari
2024
12th International Conference on Learning Representations (ICLR 2024)
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
On Hardware-efficient Inference in Probabilistic Circuits
Lingyun Yao, Martin Trapp, Jelin Leslin, Gaurav Singh, Peng Zhang, Karthekeyan Periasamy, Martin Andraud
2024
Proceedings of Machine Learning Research