Martin Trapp

56 papers A* 7A 8B 1Misc 1Journal 32Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
LogSumExp: Efficient Approximate Logarithm Acceleration for Embedded Tractable Probabilistic Reasoning.
IEEE Trans. Circuits Syst. I Regul. Pap.
Lingyun Yao, Shirui Zhao, Martin Trapp, Jelin Leslin, Marian Verhelst, Martin Andraud
2026 J jnl
Sparsely Supervised Diffusion.
CoRR
Wenshuai Zhao, Zhiyuan Li, Yi Zhao, Mohammad Hassan Vali, Martin Trapp, Joni Pajarinen, Juho Kannala, Arno Solin
2025 A conf
Approximate Bayesian Inference via Bitstring Representations.
UAI
Aleksanteri M. Sladek, Martin Trapp, Arno Solin
2025 J jnl
Approximate Bayesian Inference via Bitstring Representations.
CoRR
Aleksanteri M. Sladek, Martin Trapp, Arno Solin
2025 A conf
Flatness Improves Backbone Generalisation in Few-Shot Classification.
WACV
Rui Li, Martin Trapp, Marcus Klasson, Arno Solin
2025 — conf
Hardware-efficient tractable probabilistic inference for TinyML Neurosymbolic AI applications.
COINS
Jelin Leslin, Martin Trapp, Martin Andraud
2025 J jnl
Hardware-efficient tractable probabilistic inference for TinyML Neurosymbolic AI applications.
CoRR
Jelin Leslin, Martin Trapp, Martin Andraud
2025 A* conf
Streamlining Prediction in Bayesian Deep Learning.
ICLR
Rui Li, Marcus Klasson, Arno Solin, Martin Trapp
2024 A conf
Fixing Overconfidence in Dynamic Neural Networks.
WACV
Lassi Meronen, Martin Trapp, Andrea Pilzer, Le Yang, Arno Solin
2024 J jnl
Flatness Improves Backbone Generalisation in Few-shot Classification.
CoRR
Rui Li, Martin Trapp, Marcus Klasson, Arno Solin
2024 A conf
On Hardware-efficient Inference in Probabilistic Circuits.
UAI
Lingyun Yao, Martin Trapp, Jelin Leslin, Gaurav Singh, Peng Zhang, Karthekeyan Periasamy, Martin Andraud
2024 J jnl
On Hardware-efficient Inference in Probabilistic Circuits.
CoRR
Lingyun Yao, Martin Trapp, Jelin Leslin, Gaurav Singh, Peng Zhang, Karthekeyan Periasamy, Martin Andraud
2024 J jnl
Post-hoc Probabilistic Vision-Language Models.
CoRR
Anton Baumann, Rui Li, Marcus Klasson, Santeri Mentu, Shyamgopal Karthik, Zeynep Akata, Arno Solin, Martin Trapp
2024 J jnl
Probabilistic Circuits for Cumulative Distribution Functions.
CoRR
Oliver Broadrick, William X. Cao, Benjie Wang, Martin Trapp, Guy Van den Broeck
2024 J jnl
Streamlining Prediction in Bayesian Deep Learning.
CoRR
Rui Li, Marcus Klasson, Arno Solin, Martin Trapp
2024 A* conf
Subtractive Mixture Models via Squaring: Representation and Learning.
ICLR
Lorenzo Loconte, Aleksanteri M. Sladek, Stefan Mengel, Martin Trapp, Arno Solin, Nicolas Gillis, Antonio Vergari
2023 A* conf
Characteristic Circuits.
NeurIPS
Zhongjie Yu, Martin Trapp, Kristian Kersting
2023 J jnl
Characteristic Circuits.
CoRR
Zhongjie Yu, Martin Trapp, Kristian Kersting
2023 J jnl
Fixing Overconfidence in Dynamic Neural Networks.
CoRR
Lassi Meronen, Martin Trapp, Andrea Pilzer, Le Yang, Arno Solin
2023 J jnl
Subtractive Mixture Models via Squaring: Representation and Learning.
CoRR
Lorenzo Loconte, Aleksanteri M. Sladek, Stefan Mengel, Martin Trapp, Arno Solin, Nicolas Gillis, Antonio Vergari
2023 — conf
The Robust Semantic Segmentation UNCV2023 Challenge Results.
ICCV (Workshops)
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 J jnl
The Robust Semantic Segmentation UNCV2023 Challenge Results.
CoRR
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 J jnl
Transport with Support: Data-Conditional Diffusion Bridges.
CoRR
Ella Tamir, Martin Trapp, Arno Solin
2023 J jnl
Transport with Support: Data-Conditional Diffusion Bridges.
Trans. Mach. Learn. Res.
Ella Tamir, Martin Trapp, Arno Solin
2022 — conf
A Hardware Perspective to Evaluating Probabilistic Circuits.
PGM
Jelin Leslin, Antti Hyttinen, Karthekeyan Periasamy, Lingyun Yao, Martin Trapp, Martin Andraud
2022 — conf
Anomaly Detection Using Generative Models and Sum-Product Networks in Mammography Scans.
DGM4MICCAI@MICCAI
Marc Dietrichstein, David Major, Martin Trapp, Maria Wimmer, Dimitrios Lenis, Philip Winter, Astrid Berg, Theresa Neubauer, Katja Bühler
2022 J jnl
Representational Multiplicity Should Be Exposed, Not Eliminated.
CoRR
Ari Heljakka, Martin Trapp, Juho Kannala, Arno Solin
2022 — conf
Uncertainty-Guided Source-Free Domain Adaptation.
ECCV (25)
Subhankar Roy, Martin Trapp, Andrea Pilzer, Juho Kannala, Nicu Sebe, Elisa Ricci, Arno Solin
2022 J jnl
Uncertainty-guided Source-free Domain Adaptation.
CoRR
Subhankar Roy, Martin Trapp, Andrea Pilzer, Juho Kannala, Nicu Sebe, Elisa Ricci, Arno Solin
2021 J jnl
Leveraging Probabilistic Circuits for Nonparametric Multi-Output Regression.
CoRR
Zhongjie Yu, Mingye Zhu, Martin Trapp, Arseny Skryagin, Kristian Kersting
2021 A conf
Leveraging probabilistic circuits for nonparametric multi-output regression.
UAI
Zhongjie Yu, Mingye Zhu, Martin Trapp, Arseny Skryagin, Kristian Kersting
2021 A* conf
Periodic Activation Functions Induce Stationarity.
NeurIPS
Lassi Meronen, Martin Trapp, Arno Solin
2021 J jnl
Periodic Activation Functions Induce Stationarity.
CoRR
Lassi Meronen, Martin Trapp, Arno Solin
2020 A conf
Deep Structured Mixtures of Gaussian Processes.
AISTATS
Martin Trapp, Robert Peharz, Franz Pernkopf, Carl Edward Rasmussen
2020 J jnl
DynamicPPL: Stan-like Speed for Dynamic Probabilistic Models.
CoRR
Mohamed Tarek, Kai Xu, Martin Trapp, Hong Ge, Zoubin Ghahramani
2020 A* conf
Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits.
ICML
Robert Peharz, Steven Lang, Antonio Vergari, Karl Stelzner, Alejandro Molina, Martin Trapp, Guy Van den Broeck, Kristian Kersting, Zoubin Ghahramani
2020 J jnl
Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits.
CoRR
Robert Peharz, Steven Lang, Antonio Vergari, Karl Stelzner, Alejandro Molina, Martin Trapp, Guy Van den Broeck, Kristian Kersting, Zoubin Ghahramani
2020 J jnl
Models of Cross-Situational and Crossmodal Word Learning in Task-Oriented Scenarios.
IEEE Trans. Cogn. Dev. Syst.
Brigitte Krenn, Sepideh Sadeghi, Friedrich Neubarth, Stephanie Gross, Martin Trapp, Matthias Scheutz
2019 — conf
AdvancedHMC.jl: A robust, modular and e cient implementation of advanced HMC algorithms.
AABI
Kai Xu, Hong Ge, Will Tebbutt, Mohamed Tarek, Martin Trapp, Zoubin Ghahramani
2019 A* conf
Bayesian Learning of Sum-Product Networks.
NeurIPS
Martin Trapp, Robert Peharz, Hong Ge, Franz Pernkopf, Zoubin Ghahramani
2019 J jnl
Bayesian Learning of Sum-Product Networks.
CoRR
Martin Trapp, Robert Peharz, Hong Ge, Franz Pernkopf, Zoubin Ghahramani
2019 J jnl
Deep Structured Mixtures of Gaussian Processes.
CoRR
Martin Trapp, Robert Peharz, Franz Pernkopf, Carl E. Rasmussen
2019 J jnl
Optimisation of Overparametrized Sum-Product Networks.
CoRR
Martin Trapp, Robert Peharz, Franz Pernkopf
2019 A conf
Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning.
UAI
Robert Peharz, Antonio Vergari, Karl Stelzner, Alejandro Molina, Martin Trapp, Xiaoting Shao, Kristian Kersting, Zoubin Ghahramani
2018 B conf
Grounded Word Learning on a Pepper Robot.
IVA
Matthias Hirschmanner, Stephanie Gross, Brigitte Krenn, Friedrich Neubarth, Martin Trapp, Markus Vincze
2018 J jnl
Learning Deep Mixtures of Gaussian Process Experts Using Sum-Product Networks.
CoRR
Martin Trapp, Robert Peharz, Carl E. Rasmussen, Franz Pernkopf
2018 J jnl
Probabilistic Deep Learning using Random Sum-Product Networks.
CoRR
Robert Peharz, Antonio Vergari, Karl Stelzner, Alejandro Molina, Martin Trapp, Kristian Kersting, Zoubin Ghahramani
2017 A* conf
One Million Posts: A Data Set of German Online Discussions.
SIGIR
Dietmar Schabus, Marcin Skowron, Martin Trapp
2017 Misc conf
Retrieving Compositional Documents Using Position-Sensitive Word Mover's Distance.
ICTIR
Martin Trapp, Marcin Skowron, Dietmar Schabus
2017 A conf
Safe Semi-Supervised Learning of Sum-Product Networks.
UAI
Martin Trapp, Tamas Madl, Robert Peharz, Franz Pernkopf, Robert Trappl
2017 J jnl
Safe Semi-Supervised Learning of Sum-Product Networks.
CoRR
Martin Trapp, Tamas Madl, Robert Peharz, Franz Pernkopf, Robert Trappl
2017 J jnl
Strategic Talk in Film.
Cybern. Syst.
Sabine Payr, Marcin Skowron, Anna Dobrosovestnova, Martin Trapp, Robert Trappl
2016 J jnl
Adaptive and Background-Aware GAL4 Expression Enhancement of Co-registered Confocal Microscopy Images.
Neuroinformatics
Martin Trapp, Florian Schulze, Alexey A. Novikov, Laszlo Tirian, Barry J. Dickson, Katja Bühler
2016 J jnl
Automatic Identification of Character Types from Film Dialogs.
Appl. Artif. Intell.
Marcin Skowron, Martin Trapp, Sabine Payr, Robert Trappl
2013 J jnl
3D object retrieval in an atlas of neuronal structures.
Vis. Comput.
Martin Trapp, Florian Schulze, Katja Bühler, Tianxiao Liu, Barry J. Dickson
2012 — conf
Similarity Based Object Retrieval of Composite Neuronal Structures.
3DOR@Eurographics
Florian Schulze, Martin Trapp, Katja Bühler, Tianxiao Liu, Barry J. Dickson