Martin Trapp

Orcid: 0000-0003-1725-3381

Affiliations:

Aalto University, Department of Computer Science, Helsinki, Finland
Graz University of Technology, Signal Processing and Speech Communication Laboratory, Austria
VRVis Center for Virtual Reality and Visualization, Vienna, Austria

According to our database¹, Martin Trapp authored at least 35 papers between 2012 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2024

Post-hoc Probabilistic Vision-Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Streamlining Prediction in Bayesian Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Probabilistic Circuits for Cumulative Distribution Functions.

[BibT_eX]

[DOI]

CoRR, 2024

On Hardware-efficient Inference in Probabilistic Circuits.

[BibT_eX]

[DOI]

Karthekeyan Periasamy

Martin Andraud

CoRR, 2024

Flatness Improves Backbone Generalisation in Few-shot Classification.

[BibT_eX]

[DOI]

CoRR, 2024

Fixing Overconfidence in Dynamic Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Subtractive Mixture Models via Squaring: Representation and Learning.

[BibT_eX]

[DOI]

Lorenzo Loconte

Aleksanteri M. Sladek

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Transport with Support: Data-Conditional Diffusion Bridges.

[BibT_eX]

[DOI]

Ella Tamir

Martin Trapp

Arno Solin

Trans. Mach. Learn. Res., 2023

Characteristic Circuits.

[BibT_eX]

[DOI]

Zhongjie Yu

Martin Trapp

Kristian Kersting

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

The Robust Semantic Segmentation UNCV2023 Challenge Results.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Representational Multiplicity Should Be Exposed, Not Eliminated.

[BibT_eX]

[DOI]

CoRR, 2022

A Hardware Perspective to Evaluating Probabilistic Circuits.

[BibT_eX]

[DOI]

Jelin Leslin

Antti Hyttinen

Karthekeyan Periasamy

Lingyun Yao

Martin Trapp

Martin Andraud

Proceedings of the International Conference on Probabilistic Graphical Models, 2022

Anomaly Detection Using Generative Models and Sum-Product Networks in Mammography Scans.

[BibT_eX]

[DOI]

Proceedings of the Deep Generative Models - Second MICCAI Workshop, 2022

Uncertainty-Guided Source-Free Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Leveraging probabilistic circuits for nonparametric multi-output regression.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Periodic Activation Functions Induce Stationarity.

[BibT_eX]

[DOI]

Lassi Meronen

Martin Trapp

Arno Solin

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Models of Cross-Situational and Crossmodal Word Learning in Task-Oriented Scenarios.

[BibT_eX]

[DOI]

IEEE Trans. Cogn. Dev. Syst., 2020

DynamicPPL: Stan-like Speed for Dynamic Probabilistic Models.

[BibT_eX]

[DOI]

CoRR, 2020

Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Deep Structured Mixtures of Gaussian Processes.

[BibT_eX]

[DOI]

Martin Trapp

Robert Peharz

Franz Pernkopf

Carl Edward Rasmussen

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Optimisation of Overparametrized Sum-Product Networks.

[BibT_eX]

[DOI]

Martin Trapp

Robert Peharz

Franz Pernkopf

CoRR, 2019

Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Bayesian Learning of Sum-Product Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

AdvancedHMC.jl: A robust, modular and e cient implementation of advanced HMC algorithms.

[BibT_eX]

[DOI]

Proceedings of the Symposium on Advances in Approximate Bayesian Inference, 2019

2018

Learning Deep Mixtures of Gaussian Process Experts Using Sum-Product Networks.

[BibT_eX]

[DOI]

CoRR, 2018

Probabilistic Deep Learning using Random Sum-Product Networks.

[BibT_eX]

[DOI]

CoRR, 2018

Grounded Word Learning on a Pepper Robot.

[BibT_eX]

[DOI]

Matthias Hirschmanner

Proceedings of the 18th International Conference on Intelligent Virtual Agents, 2018

2017

Strategic Talk in Film.

[BibT_eX]

[DOI]

Cybern. Syst., 2017

Safe Semi-Supervised Learning of Sum-Product Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

One Million Posts: A Data Set of German Online Discussions.

[BibT_eX]

[DOI]

Dietmar Schabus

Marcin Skowron

Martin Trapp

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Retrieving Compositional Documents Using Position-Sensitive Word Mover's Distance.

[BibT_eX]

[DOI]

Martin Trapp

Marcin Skowron

Dietmar Schabus

Proceedings of the ACM SIGIR International Conference on Theory of Information Retrieval, 2017

2016

Adaptive and Background-Aware GAL4 Expression Enhancement of Co-registered Confocal Microscopy Images.

[BibT_eX]

[DOI]

Neuroinformatics, 2016

Automatic Identification of Character Types from Film Dialogs.

[BibT_eX]

[DOI]

Appl. Artif. Intell., 2016

2013

3D object retrieval in an atlas of neuronal structures.

[BibT_eX]

[DOI]

Vis. Comput., 2013

2012

Similarity Based Object Retrieval of Composite Neuronal Structures.

[BibT_eX]

[DOI]

Proceedings of the 5th Eurographics Workshop on 3D Object Retrieval, 2012

Martin Trapp

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