Zhongjie Yu
Zhongjie Yu
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A multi-cut formulation for joint segmentation and tracking of multiple objects
M Keuper, S Tang, Y Zhongjie, B Andres, T Brox, B Schiele
arXiv preprint arXiv:1607.06317, 2016
Leveraging probabilistic circuits for nonparametric multi-output regression
Z Yu, M Zhu, M Trapp, A Skryagin, K Kersting
Uncertainty in Artificial Intelligence, 2008-2018, 2021
Pedestrian counting based on spatial and temporal analysis
Z Yu, C Gong, J Yang, L Bai
2014 IEEE International Conference on Image Processing (ICIP), 2432-2436, 2014
Whittle networks: A deep likelihood model for time series
Z Yu, FG Ventola, K Kersting
International Conference on Machine Learning, 12177-12186, 2021
Enabling Virtual Met Masts for wind energy applications through machine learning-methods
S Schwegmann, J Faulhaber, S Pfaffel, Z Yu, M Dörenkämper, K Kersting, ...
Energy and AI 11, 100209, 2023
RGB-D depth-map restoration using smooth depth neighborhood supports
W Liu, H Xue, Z Yu, Q Wu, J Yang
Journal of Electronic Imaging 24 (3), 033015-033015, 2015
Probabilistic circuits that know what they don’t know
F Ventola, S Braun, Y Zhongjie, M Mundt, K Kersting
Uncertainty in Artificial Intelligence, 2157-2167, 2023
Recowns: Probabilistic circuits for trustworthy time series forecasting
N Thoma, Z Yu, F Ventola, K Kersting
arXiv preprint arXiv:2106.04148, 2021
Sum-product logic: integrating probabilistic circuits into deepproblog
A Skryagin, K Stelzner, A Molina, F Ventola, Z Yu, K Kersting
Working Notes of the ICML 2020 Workshop on Bridge Between Perception and …, 2020
Predictive whittle networks for time series
Z Yu, F Ventola, N Thoma, DS Dhami, M Mundt, K Kersting
Uncertainty in Artificial Intelligence, 2320-2330, 2022
Sum-product-attention networks: Leveraging self-attention in energy-based probabilistic circuits
Z Yu, DS Dhami, K Kersting
The 5th Workshop on Tractable Probabilistic Modeling, 2022
Characteristic Circuits
Z Yu, M Trapp, K Kersting
Advances in Neural Information Processing Systems 36, 2024
Sum-Product-Attention Networks: Leveraging Self-Attention in Probabilistic Circuits
Z Yu, DS Dhami, K Kersting
arXiv preprint arXiv:2109.06587, 2021
Modelling Multivariate Ranking Functions with Min-Sum Networks
X Shao, Z Yu, A Skryagin, T Rienstra, M Thimm, K Kersting
Scalable Uncertainty Management: 14th International Conference, SUM 2020 …, 2020
Whittle Networks datasets
Z Yu
BMBF Verbundprojekt InDaS-Industrial Data Science-Qualifizierungskonzept für Maschinelles Lernen in der industriellen Produktion: Schlussbericht
K Kersting, C Turan, Z Yu
Technische Universität Darmstadt, 2020
Maschineller Lernverfahren für Stochastisch-Deterministische Multi-Sensor Signale
J Garcke, R Iza-Teran, K Kersting, I Lecei, D Schollbach, Z Yu, ...
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