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ORCIDMartin Trapp 0001
Person information
- affiliation: Aalto University, Department of Computer Science, Helsinki, Finland
- affiliation: Graz University of Technology, Signal Processing and Speech Communication Laboratory, Austria
- affiliation: VRVis Center for Virtual Reality and Visualization, Vienna, Austria
Other persons with the same name
- Martin Trapp — disambiguation page
- Martin Trapp 0002 — Senacor Technologies AG (and 1 more)
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Journal Articles
- 2020
[j5]Brigitte Krenn
, Sepideh Sadeghi, Friedrich Neubarth, Stephanie Gross, Martin Trapp, Matthias Scheutz:
Models of Cross-Situational and Crossmodal Word Learning in Task-Oriented Scenarios. IEEE Trans. Cogn. Dev. Syst. 12(3): 658-668 (2020)- 2017
- [j4]Sabine Payr, Marcin Skowron, Anna Dobrosovestnova, Martin Trapp, Robert Trappl:
Strategic Talk in Film. Cybern. Syst. 48(8): 576-596 (2017) - 2016
- [j3]Marcin Skowron, Martin Trapp, Sabine Payr, Robert Trappl:
Automatic Identification of Character Types from Film Dialogs. Appl. Artif. Intell. 30(10): 942-973 (2016) - [j2]Martin Trapp, Florian Schulze, Alexey A. Novikov, Laszlo Tirian, Barry J. Dickson, Katja Bühler:
Adaptive and Background-Aware GAL4 Expression Enhancement of Co-registered Confocal Microscopy Images. Neuroinformatics 14(2): 221-233 (2016) - 2013
- [j1]Martin Trapp, Florian Schulze, Katja Bühler, Tianxiao Liu, Barry J. Dickson:
3D object retrieval in an atlas of neuronal structures. Vis. Comput. 29(12): 1363-1373 (2013)
Conference and Workshop Papers
- 2024
- [c18]Lassi Meronen, Martin Trapp, Andrea Pilzer, Le Yang, Arno Solin:
Fixing Overconfidence in Dynamic Neural Networks. WACV 2024: 2668-2678 - 2023
- [c17]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:
The Robust Semantic Segmentation UNCV2023 Challenge Results. ICCV (Workshops) 2023: 4620-4630 - [c16]Zhongjie Yu, Martin Trapp, Kristian Kersting:
Characteristic Circuits. NeurIPS 2023 - 2022
- [c15]Subhankar Roy, Martin Trapp, Andrea Pilzer, Juho Kannala, Nicu Sebe, Elisa Ricci, Arno Solin:
Uncertainty-Guided Source-Free Domain Adaptation. ECCV (25) 2022: 537-555 - [c14]Marc Dietrichstein, David Major, Martin Trapp, Maria Wimmer, Dimitrios Lenis, Philip Winter, Astrid Berg, Theresa Neubauer, Katja Bühler:
Anomaly Detection Using Generative Models and Sum-Product Networks in Mammography Scans. DGM4MICCAI@MICCAI 2022: 77-86 - [c13]Jelin Leslin, Antti Hyttinen, Karthekeyan Periasamy, Lingyun Yao, Martin Trapp, Martin Andraud:
A Hardware Perspective to Evaluating Probabilistic Circuits. PGM 2022: 349-360 - 2021
- [c12]Lassi Meronen, Martin Trapp, Arno Solin:
Periodic Activation Functions Induce Stationarity. NeurIPS 2021: 1673-1685 - [c11]Zhongjie Yu, Mingye Zhu, Martin Trapp, Arseny Skryagin, Kristian Kersting:
Leveraging probabilistic circuits for nonparametric multi-output regression. UAI 2021: 2008-2018 - 2020
- [c10]Martin Trapp, Robert Peharz, Franz Pernkopf, Carl Edward Rasmussen:
Deep Structured Mixtures of Gaussian Processes. AISTATS 2020: 2251-2261 - [c9]Robert Peharz, Steven Lang, Antonio Vergari, Karl Stelzner, Alejandro Molina, Martin Trapp, Guy Van den Broeck, Kristian Kersting, Zoubin Ghahramani:
Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits. ICML 2020: 7563-7574 - 2019
- [c8]Kai Xu, Hong Ge, Will Tebbutt, Mohamed Tarek, Martin Trapp, Zoubin Ghahramani:
AdvancedHMC.jl: A robust, modular and e cient implementation of advanced HMC algorithms. AABI 2019: 1-10 - [c7]Martin Trapp, Robert Peharz, Hong Ge, Franz Pernkopf, Zoubin Ghahramani:
Bayesian Learning of Sum-Product Networks. NeurIPS 2019: 6344-6355 - [c6]Robert Peharz, Antonio Vergari, Karl Stelzner, Alejandro Molina, Martin Trapp, Xiaoting Shao, Kristian Kersting, Zoubin Ghahramani:
Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning. UAI 2019: 334-344 - 2018
- [c5]Matthias Hirschmanner, Stephanie Gross, Brigitte Krenn, Friedrich Neubarth, Martin Trapp, Markus Vincze:
Grounded Word Learning on a Pepper Robot. IVA 2018: 351-352 - 2017
- [c4]Martin Trapp, Marcin Skowron, Dietmar Schabus:
Retrieving Compositional Documents Using Position-Sensitive Word Mover's Distance. ICTIR 2017: 233-236 - [c3]Dietmar Schabus, Marcin Skowron, Martin Trapp:
One Million Posts: A Data Set of German Online Discussions. SIGIR 2017: 1241-1244 - [c2]Martin Trapp, Tamas Madl, Robert Peharz, Franz Pernkopf, Robert Trappl:
Safe Semi-Supervised Learning of Sum-Product Networks. UAI 2017 - 2012
- [c1]Florian Schulze, Martin Trapp, Katja Bühler, Tianxiao Liu, Barry J. Dickson:
Similarity Based Object Retrieval of Composite Neuronal Structures. 3DOR@Eurographics 2012: 1-8
Informal and Other Publications
- 2023
- [i17]Ella Tamir, Martin Trapp, Arno Solin:
Transport with Support: Data-Conditional Diffusion Bridges. CoRR abs/2301.13636 (2023) - [i16]Lassi Meronen, Martin Trapp, Andrea Pilzer, Le Yang, Arno Solin:
Fixing Overconfidence in Dynamic Neural Networks. CoRR abs/2302.06359 (2023) - [i15]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:
The Robust Semantic Segmentation UNCV2023 Challenge Results. CoRR abs/2309.15478 (2023) - [i14]Lorenzo Loconte, Aleksanteri M. Sladek, Stefan Mengel, Martin Trapp, Arno Solin, Nicolas Gillis, Antonio Vergari:
Subtractive Mixture Models via Squaring: Representation and Learning. CoRR abs/2310.00724 (2023) - [i13]Zhongjie Yu, Martin Trapp, Kristian Kersting:
Characteristic Circuits. CoRR abs/2312.07790 (2023) - 2022
- [i12]Ari Heljakka, Martin Trapp, Juho Kannala, Arno Solin:
Representational Multiplicity Should Be Exposed, Not Eliminated. CoRR abs/2206.08890 (2022) - [i11]Subhankar Roy, Martin Trapp, Andrea Pilzer, Juho Kannala, Nicu Sebe, Elisa Ricci, Arno Solin:
Uncertainty-guided Source-free Domain Adaptation. CoRR abs/2208.07591 (2022) - 2021
- [i10]Zhongjie Yu, Mingye Zhu, Martin Trapp, Arseny Skryagin, Kristian Kersting:
Leveraging Probabilistic Circuits for Nonparametric Multi-Output Regression. CoRR abs/2106.08687 (2021) - [i9]Lassi Meronen, Martin Trapp, Arno Solin:
Periodic Activation Functions Induce Stationarity. CoRR abs/2110.13572 (2021) - 2020
- [i8]Mohamed Tarek, Kai Xu, Martin Trapp, Hong Ge, Zoubin Ghahramani:
DynamicPPL: Stan-like Speed for Dynamic Probabilistic Models. CoRR abs/2002.02702 (2020) - [i7]Robert Peharz, Steven Lang, Antonio Vergari, Karl Stelzner, Alejandro Molina, Martin Trapp, Guy Van den Broeck, Kristian Kersting, Zoubin Ghahramani:
Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits. CoRR abs/2004.06231 (2020) - 2019
- [i6]Martin Trapp, Robert Peharz, Franz Pernkopf:
Optimisation of Overparametrized Sum-Product Networks. CoRR abs/1905.08196 (2019) - [i5]Martin Trapp, Robert Peharz, Hong Ge, Franz Pernkopf, Zoubin Ghahramani:
Bayesian Learning of Sum-Product Networks. CoRR abs/1905.10884 (2019) - [i4]Martin Trapp, Robert Peharz, Franz Pernkopf, Carl E. Rasmussen:
Deep Structured Mixtures of Gaussian Processes. CoRR abs/1910.04536 (2019) - 2018
- [i3]Robert Peharz, Antonio Vergari, Karl Stelzner, Alejandro Molina, Martin Trapp, Kristian Kersting, Zoubin Ghahramani:
Probabilistic Deep Learning using Random Sum-Product Networks. CoRR abs/1806.01910 (2018) - [i2]Martin Trapp, Robert Peharz, Carl E. Rasmussen, Franz Pernkopf:
Learning Deep Mixtures of Gaussian Process Experts Using Sum-Product Networks. CoRR abs/1809.04400 (2018) - 2017
- [i1]Martin Trapp, Tamas Madl, Robert Peharz, Franz Pernkopf, Robert Trappl:
Safe Semi-Supervised Learning of Sum-Product Networks. CoRR abs/1710.03444 (2017)
Coauthor Index
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