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- Conference on Uncertainty in Artificial Intelligence (UAI)
- Symposium on Advances in Approximate Bayesian Inference (AABI)
also: NIPS Workshop: Advances in Approximate Bayesian Inference
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Publication search results
found 2,939 matches
- 2024
- Tim Redick:
Bayesian inference for CAD-based pose estimation on depth images for robotic manipulation. RWTH Aachen University, Germany, 2024 - Ramana R. Avula, Tobias J. Oechtering, Daniel Månsson:
Adversarial Inference Control in Cyber-Physical Systems: A Bayesian Approach With Application to Smart Meters. IEEE Access 12: 24933-24948 (2024) - Crispin H. V. Cooper:
Bayesian Inference of Elevation to Reduce Large Interpolation Errors in 2-d Road Features Draped Over Digital Elevation Models. IEEE Access 12: 54371-54387 (2024) - Ivan Hernandez, Wen Yu, Xiaoou Li:
Optimal PD Control Using Conditional GAN and Bayesian Inference. IEEE Access 12: 48255-48265 (2024) - Terrence Alsup, Tucker Hartland, Benjamin Peherstorfer, Noemi Petra:
Further analysis of multilevel Stein variational gradient descent with an application to the Bayesian inference of glacier ice models. Adv. Comput. Math. 50(4): 65 (2024) - Yushu Liu, Mohammad Amin Edrisi, Zhi Yan, Huw A. Ogilvie, Luay Nakhleh:
NestedBD: Bayesian inference of phylogenetic trees from single-cell copy number profiles under a birth-death model. Algorithms Mol. Biol. 19(1): 18 (2024) - Harinandan Tunga, Samarjit Kar, Debasis Giri:
Multi-objective brainstorm optimization algorithm based on Bayesian inference learning automaton for solving CVRP with time windows. Appl. Soft Comput. 162: 111755 (2024) - Indranil Ghosh, Hon Keung Tony Ng, Kipum Kim, Seong W. Kim:
Bayesian Inference for a Hidden Truncated Bivariate Exponential Distribution with Applications. Axioms 13(3): 140 (2024) - Eleni Vlachou, Aristeidis Karras, Christos N. Karras, Leonidas Theodorakopoulos, Constantinos Halkiopoulos, Spyros Sioutas:
Distributed Bayesian Inference for Large-Scale IoT Systems. Big Data Cogn. Comput. 8(1): 1 (2024) - Hanwen Xing, Christopher Yau:
Bayesian inference for identifying tumour-specific cancer dependencies through integration of ex-vivo drug response assays and drug-protein profiling. BMC Bioinform. 25(1): 104 (2024) - Carlos Eduardo Rambalducci Dalla, Wellington Betencurte da Silva, Julio Cesar Sampaio Dutra, Marcelo José Colaço:
Online estimation of inlet contaminant concentration using Eulerian-Lagrangian method of fundamental solutions and Bayesian inference. Comput. Math. Appl. 164: 131-138 (2024) - Olha Bodnar, Taras Bodnar:
Gibbs sampler approach for objective Bayesian inference in elliptical multivariate meta-analysis random effects model. Comput. Stat. Data Anal. 197: 107990 (2024) - Jie Liu, Zifeng Ye, Kun Chen, Panpan Zhang:
Variational Bayesian inference for bipartite mixed-membership stochastic block model with applications to collaborative filtering. Comput. Stat. Data Anal. 189: 107836 (2024) - Husam Awni Bayoud, Mohammad Z. Raqab:
Classical and Bayesian inferences for two Topp-Leone models under joint progressive Type-II censoring. Commun. Stat. Simul. Comput. 53(1): 427-445 (2024) - Benjamin Gochanour, Sixia Chen, Laura Beebe:
Multiply robust Bayesian procedures for causal inference problems. Commun. Stat. Simul. Comput. 53(7): 3271-3284 (2024) - Jiaqi Li, Xudong Dong, Xinlei Shi, Xiaofei Zhang:
An enhanced direct position determination of non-circular sources via sparse Bayesian inference and grid refinement strategy. Digit. Signal Process. 151: 104564 (2024) - Mahdi Teimouri, Seyed Mehdi Hoseini, Maria Sabrina Greco:
Bayesian inference for amplitude distribution with application to radar clutter. Digit. Signal Process. 148: 104443 (2024) - Huidong Zhang, Xinqun Zhu:
Predicting the seismic performance of large-scale dome structures with hybrid uncertainties based on Bayesian inference. Eng. Appl. Artif. Intell. 136: 109031 (2024) - Peter Trubey, Bruno Sansó:
Bayesian Non-Parametric Inference for Multivariate Peaks-over-Threshold Models. Entropy 26(4): 335 (2024) - Ruikun Luo, Yifan Weng, Paramsothy Jayakumar, Mark J. Brudnak, Victor Paul, Vishnu R. Desaraju, Jeffrey L. Stein, Tulga Ersal, X. Jessie Yang:
Real-Time Workload Estimation Using Eye Tracking: A Bayesian Inference Approach. Int. J. Hum. Comput. Interact. 40(15): 4042-4057 (2024) - Xin He, Yasen Wang, Junyang Jin:
Bayesian inference and optimisation of stochastic dynamical networks. Int. J. Syst. Sci. 55(13): 2589-2603 (2024) - Xiaoou Li:
Time Series Forecasting with Missing Data Using Generative Adversarial Networks and Bayesian Inference. Inf. 15(4): 222 (2024) - Zhixiang Hu, An Liu, Yubo Wan, Tony Xiao Han, Min-Jian Zhao:
A Two-Stage Multiband Delay Estimation Scheme via Stochastic Particle-Based Variational Bayesian Inference. IEEE Internet Things J. 11(11): 19632-19645 (2024) - Pubudu L. Indrasiri, Dinh C. Nguyen, Bipasha Kashyap, Pubudu N. Pathirana, Yonina C. Eldar:
FedXPro: Bayesian Inference for Mitigating Poisoning Attacks in IoT Federated Learning. IEEE Internet Things J. 11(7): 12115-12131 (2024) - Linjiang Zhou, Chao Ma, Zepeng Wang, Yixuan Zhang, Xiaochuan Shi, Libing Wu:
Robust Frame-Level Detection for Deepfake Videos With Lightweight Bayesian Inference Weighting. IEEE Internet Things J. 11(7): 13018-13028 (2024) - Zhenyi Wang, Pengfei Yang, Bowen Zhang, Linwei Hu, Wenkai Lv, Chengmin Lin, Quan Wang:
Flexi-BOPI: Flexible granularity pipeline inference with Bayesian optimization for deep learning models on HMPSoC. Inf. Sci. 678: 120984 (2024) - Anshui Li, Waichon Lio:
Bayesian inference in the framework of uncertainty theory. J. Ambient Intell. Humaniz. Comput. 15(6): 2901-2908 (2024) - Zhizhang Wu, Cheng Zhang, Zhiwen Zhang:
Reduced-order model-based variational inference with normalizing flows for Bayesian elliptic inverse problems. J. Comput. Appl. Math. 441: 115659 (2024) - David Bolin, Alexandre B. Simas, Zhen Xiong:
Covariance-Based Rational Approximations of Fractional SPDEs for Computationally Efficient Bayesian Inference. J. Comput. Graph. Stat. 33(1): 64-74 (2024) - Ricardo Baptista, Lianghao Cao, Joshua Chen, Omar Ghattas, Fengyi Li, Youssef M. Marzouk, J. Tinsley Oden:
Bayesian model calibration for block copolymer self-assembly: Likelihood-free inference and expected information gain computation via measure transport. J. Comput. Phys. 503: 112844 (2024)
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