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Martin 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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2020 – today
- 2024
- [c19]Lorenzo Loconte, Aleksanteri M. Sladek, Stefan Mengel, Martin Trapp, Arno Solin, Nicolas Gillis, Antonio Vergari:
Subtractive Mixture Models via Squaring: Representation and Learning. ICLR 2024 - [c18]Lassi Meronen
, Martin Trapp
Fixing Overconfidence in Dynamic Neural Networks. WACV 2024: 2668-2678 - [i20]Rui Li, Martin Trapp, Marcus Klasson, Arno Solin:
Flatness Improves Backbone Generalisation in Few-shot Classification. CoRR abs/2404.07696 (2024) - [i19]Lingyun Yao, Martin Trapp, Jelin Leslin, Gaurav Singh
On Hardware-efficient Inference in Probabilistic Circuits. CoRR abs/2405.13639 (2024) - [i18]Oliver Broadrick, William X. Cao, Benjie Wang, Martin Trapp, Guy Van den Broeck:
Probabilistic Circuits for Cumulative Distribution Functions. CoRR abs/2408.04229 (2024) - 2023
- [j6]Ella Tamir, Martin Trapp, Arno Solin:
Transport with Support: Data-Conditional Diffusion Bridges. Trans. Mach. Learn. Res. 2023 (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
The Robust Semantic Segmentation UNCV2023 Challenge Results. ICCV (Workshops) 2023: 4620-4630 - [c16]Zhongjie Yu, Martin Trapp, Kristian Kersting:
Characteristic Circuits. NeurIPS 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
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
- [c15]Subhankar Roy
Uncertainty-Guided Source-Free Domain Adaptation. ECCV (25) 2022: 537-555 - [c14]Marc Dietrichstein, David Major, Martin Trapp
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 - [i12]Ari Heljakka, Martin Trapp, Juho Kannala, Arno Solin:
Representational Multiplicity Should Be Exposed, Not Eliminated. CoRR abs/2206.08890 (2022) - [i11]Subhankar Roy
Uncertainty-guided Source-free Domain Adaptation. CoRR abs/2208.07591 (2022) - 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 - [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
- [j5]Brigitte Krenn
Models of Cross-Situational and Crossmodal Word Learning in Task-Oriented Scenarios. IEEE Trans. Cogn. Dev. Syst. 12(3): 658-668 (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 - [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)
2010 – 2019
- 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
Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning. UAI 2019: 334-344 - [i6]Martin Trapp, Robert Peharz, Franz Pernkopf:
Optimisation of Overparametrized Sum-Product Networks. CoRR abs/1905.08196 (2019) - [i5]Martin Trapp, Robert Peharz
Bayesian Learning of Sum-Product Networks. CoRR abs/1905.10884 (2019) - [i4]Martin Trapp, Robert Peharz
Deep Structured Mixtures of Gaussian Processes. CoRR abs/1910.04536 (2019) - 2018
- [c5]Matthias Hirschmanner, Stephanie Gross
Grounded Word Learning on a Pepper Robot. IVA 2018: 351-352 - [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
- [j4]Sabine Payr, Marcin Skowron, Anna Dobrosovestnova
Strategic Talk in Film. Cybern. Syst. 48(8): 576-596 (2017) - [c4]Martin Trapp
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 - [i1]Martin Trapp, Tamas Madl, Robert Peharz, Franz Pernkopf, Robert Trappl:
Safe Semi-Supervised Learning of Sum-Product Networks. CoRR abs/1710.03444 (2017) - 2016
- [j3]Marcin Skowron, Martin Trapp
Automatic Identification of Character Types from Film Dialogs. Appl. Artif. Intell. 30(10): 942-973 (2016) - [j2]Martin Trapp
Adaptive and Background-Aware GAL4 Expression Enhancement of Co-registered Confocal Microscopy Images. Neuroinformatics 14(2): 221-233 (2016) - 2013
- [j1]Martin Trapp
3D object retrieval in an atlas of neuronal structures. Vis. Comput. 29(12): 1363-1373 (2013) - 2012
- [c1]Florian Schulze, Martin Trapp
Similarity Based Object Retrieval of Composite Neuronal Structures. 3DOR@Eurographics 2012: 1-8
Coauthor Index
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