variational bayesian

VBH-GNN: Variational Bayesian Heterogeneous Graph Neural Networks for Cross-subject Emotion Recognition ICLR 2024 VSGT: Variational Spatial and Gaussian Temporal Graph Models for EEG-based Emotion Recognition IJCAI 2024 ARTree: A Deep Autoregressive Model for Phylogenetic Inference NeurIPS 2023 Learnable Topological Features For Phylogenetic Inference via Graph Neural Networks ICLR 2023 Multi-Stream Extension of Variational Bayesian HMM Clustering (MS-VBx) for Combined End-to-End and Vector Clustering-based Diarization Interspeech 2023 Probabilistic Inference in Reinforcement Learning Done Right NeurIPS 2023 Self-Interpretable Time Series Prediction with Counterfactual Explanations ICML 2023 A Variational Bayesian Method for Similarity Learning in Non-Rigid Image Registration CVPR 2022 Fast Bayesian Inference for Gaussian Cox Processes via Path Integral Formulation NeurIPS 2021 Learning Deeper Non-Monotonic Networks by Softly Transferring Solution Space IJCAI 2021 Recovering Latent Causal Factor for Generalization to Distributional Shifts NeurIPS 2021 Variational Bayesian Reinforcement Learning with Regret Bounds NeurIPS 2021 Improved Variational Bayesian Phylogenetic Inference with Normalizing Flows NeurIPS 2020 Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression AAAI 2020 Variational Bayesian Multi-Channel Speech Dereverberation Under Noisy Environments with Probabilistic Convolutive Transfer Function Interspeech 2019 Diarization is Hard: Some Experiences and Lessons Learned for the JHU Team in the Inaugural DIHARD Challenge Interspeech 2018 Estimation of the Number of Speakers with Variational Bayesian PLDA in the DIHARD Diarization Challenge. Interspeech 2018 ShapeOdds: Variational Bayesian Learning of Generative Shape Models CVPR 2017 Speaker Clustering by Iteratively Finding Discriminative Feature Space and Cluster Labels Interspeech 2017 Condition for Perfect Dimensionality Recovery by Variational Bayesian PCA JMLR 2015 Analysis of Brain States from Multi-Region LFP Time-Series NeurIPS 2014 Analysis of Variational Bayesian Latent Dirichlet Allocation: Weaker Sparsity Than MAP NeurIPS 2014 Revisiting Bayesian Blind Deconvolution JMLR 2014 Global Solver and Its Efficient Approximation for Variational Bayesian Low-rank Subspace Clustering NeurIPS 2013 Infinite Positive Semidefinite Tensor Factorization for Source Separation of Mixture Signals ICML 2013