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Publication search results
found 629 matches
- 2024
- Eric Chuu, Yabo Niu, Anirban Bhattacharya, Debdeep Pati:
EPSOM-Hyb: A General Purpose Estimator of Log-Marginal Likelihoods with Applications in Probabilistic Graphical Models. Algorithms 17(5): 213 (2024) - Xuan Sun, Jianyuan Guo, Yong Qin, Xuanchuan Zheng, Shifeng Xiong, Jie He, Qi Sun, Limin Jia:
A Spatiotemporal Probabilistic Graphical Model Based on Adaptive Expectation-Maximization Attention for Individual Trajectory Reconstruction Considering Incomplete Observations. Entropy 26(5): 388 (2024) - Robert Maier, Andreas Schlattl, Thomas Guess, Jürgen Mottok:
CausalOps - Towards an industrial lifecycle for causal probabilistic graphical models. Inf. Softw. Technol. 174: 107520 (2024) - Shivvrat Arya, Tahrima Rahman, Vibhav Gogate:
Learning to Solve the Constrained Most Probable Explanation Task in Probabilistic Graphical Models. AISTATS 2024: 2791-2799 - Leonardo Terças, Rafaela Schroeder, Jiguang He, Markku J. Juntti:
Indoor Positioning with Probabilistic Graphical Models in RIS-Enhanced mmWave MIMO Systems. EuCNC/6G Summit 2024: 511-516 - Luigi Portinale:
An Introduction to Probabilistic Graphical Models. FLAIRS 2024 - Jiantong Jiang, Zeyi Wen, Atif Bin Mansoor, Ajmal Mian:
Fast Inference for Probabilistic Graphical Models. USENIX ATC 2024: 95-110 - Rafael Cabañas, Ana D. Maldonado, María Morales, Pedro Aguilera Aguilera, Antonio Salmerón:
Counterfactual Reasoning with Probabilistic Graphical Models for Analyzing Socioecological Systems. CoRR abs/2401.10101 (2024) - Iasonas Nikolaou, Konstantinos Pelechrinis, Evimaria Terzi:
Understanding team collapse via probabilistic graphical models. CoRR abs/2402.10243 (2024) - Shivvrat Arya, Tahrima Rahman, Vibhav Gogate:
Learning to Solve the Constrained Most Probable Explanation Task in Probabilistic Graphical Models. CoRR abs/2404.11606 (2024) - Jiantong Jiang, Zeyi Wen, Peiyu Yang, Atif Bin Mansoor, Ajmal Mian:
Fast-PGM: Fast Probabilistic Graphical Model Learning and Inference. CoRR abs/2405.15605 (2024) - Hengguan Huang, Xing Shen, Songtao Wang, Dianbo Liu, Hao Wang:
Verbalized Probabilistic Graphical Modeling with Large Language Models. CoRR abs/2406.05516 (2024) - Mia Sandra Nicole Siemon, Thomas B. Moeslund, Barry Norton, Kamal Nasrollahi:
Bounding Boxes and Probabilistic Graphical Models: Video Anomaly Detection Simplified. CoRR abs/2407.06000 (2024) - Haowen Wan, Qianqian Yang, Jiancheng Tang, Zhiguo Shi:
Knowledge-Aided Semantic Communication Leveraging Probabilistic Graphical Modeling. CoRR abs/2408.04499 (2024) - 2023
- Meysam Goodarzi:
Probabilistic Graphical Models: an Application in Synchronization and Localization. HU Berlin, Germany, 2023 - Martina Pastorino:
Probabilistic graphical models and deep learning methods for remote sensing image analysis. University of Genoa, Italy, 2023 - Mattis Hartwig:
New methods for efficient query answering in Gaussian probabilistic graphical models. University of Lübeck, Germany, 2023 - Mohamed I. AlHajri:
Constrained Information Exchange Message Passing Algorithm in Probabilistic Graphical Models. MIT, USA, 2023 - Tanja Holstein, Franziska Kistner, Lennart Martens, Thilo Muth:
PepGM: a probabilistic graphical model for taxonomic inference of viral proteome samples with associated confidence scores. Bioinform. 39(5) (2023) - Jingyu Yang, Zuogong Yue, Ye Yuan:
Deep probabilistic graphical modeling for robust multivariate time series anomaly detection with missing data. Reliab. Eng. Syst. Saf. 238: 109410 (2023) - Walid Mechri, Christophe Simon:
Experience Feedback and Probabilistic Graphical Model for Failure Causes Isolation. CoDIT 2023: 780-785 - J. du Toit, L. J. Labuschagne:
Inferring Hidden Structure in Mobile Network Performance Data with Noisy Net Promoter Scores using a Probabilistic Graphical Model. EuCNC/6G Summit 2023: 436-441 - Martina Pastorino, Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia:
Classification of Multimission SAR Images Based on Probabilistic Graphical Models and Convolutional Neural Networks. IGARSS 2023: 1420-1423 - Thomas Pollard, Michael Braun, Yuli Friedman, Cara Murphy, Matthew Meyn, N. Joseph Tatro, Wayne Treible, Daniel E. Crispell, Gil Ettinger:
World-Scale Construction Detection in Medium-Resolution Satellite Imagery Using a Probabilistic Graphical Model of Space-Time Pixel Class Labels. IGARSS 2023: 1197-1199 - Jiayuan Chen, Xiang Zhang, Yinfei Xu, Tianli Zhao, Renjie Xie, Wei Xu:
Understanding and Improving Deep Graph Neural Networks: A Probabilistic Graphical Model Perspective. CoRR abs/2301.10536 (2023) - Shimiao Li, Amritanshu Pandey, Larry T. Pileggi:
Contingency Analyses with Warm Starter using Probabilistic Graphical Model. CoRR abs/2304.06727 (2023) - Boyao Li, Alexandar J. Thomson, Matthew M. Engelhard, David Page:
On Neural Networks as Infinite Tree-Structured Probabilistic Graphical Models. CoRR abs/2305.17583 (2023) - Robert Maier, Andreas Schlattl, Thomas Guess, Jürgen Mottok:
CausalOps - Towards an Industrial Lifecycle for Causal Probabilistic Graphical Models. CoRR abs/2308.01375 (2023) - Batya Kenig:
Approximate Implication for Probabilistic Graphical Models. CoRR abs/2310.13942 (2023) - Oleksii Sirotkin:
Cyclic Directed Probabilistic Graphical Model: A Proposal Based on Structured Outcomes. CoRR abs/2310.16525 (2023)
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