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variational inference

2,345 papers

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VI

Co-occurring keywords · papers mentioning both

bayesian inference (359) gaussian process (255) generative model (223) variational autoencoder (171) latent variable model (151) representation learning (109) probabilistic modeling (105) uncertainty quantification (103) bayesian neural network (99) latent variable (96)

Papers

Bayesian Neural Networks for One-to-Many Mapping in Image Enhancement AAAI 2026 BayesVQA: Energy-Guided Bayesian Debiasing for Language-Bias-Robust Visual Question Answering AAAI 2026 Beyond Coherence: Improving Temporal Consistency and Interpretability in Dynamic Topic Models EACL 2026 Beyond Euclidean Gossip: KL-Barycentric Consensus on Heterogeneous and Imbalanced Images CVPR 2026 Beyond Mean-Field: Tree-Copula Variational Autoencoders for Structured Latent Dependencies UAI 2026 Continual Neural Topic Model EACL 2026 DC-SPAN: A Dual Contrastive Attention Network for Multi-View Clustering AAAI 2026 DFRec: Dual Fluctuation Modeling of Multi-level Intent Evolution for Next-Item Recommendation AAAI 2026 Diffusion Reconstruction-based Data Likelihood Estimation for Core-Set Selection AAAI 2026 Disentangling Dynamical Systems: Causal Representation Learning Meets Local Sparse Attention CLeaR 2026 DIVINE : Coordinating Multimodal Disentangled Representations for Oro-Facial Neurological Disorder Assessment EACL 2026 EVIA: Entropic Variational Inference Auto-encoding UAI 2026 Explore How to Inject Beneficial Noise in MLLMs AAAI 2026 Extending Mean-Field Variational Inference via Entropic Regularization: Theory and Computation JMLR 2026 Flow-Induced Diagonal Gaussian Processes AAAI 2026 Generating In-Distribution Counterfactual Explanation for Graph Neural Networks AAAI 2026 Geometry-Aware Variational Information Maximization for Deep Incomplete Multi-view Clustering AAAI 2026 GP-4DGS: Probabilistic 4D Gaussian Splatting from Monocular Video via Variational Gaussian Processes CVPR 2026 GraphVSSM: Graph Variational State-Space Model for Probabilistic Spatiotemporal Inference of Dynamic Exposure and Vulnerability for Regional Disaster Resilience Assessment AAAI 2026 Implicit Variational Rejection Sampling UAI 2026 Information-Theoretic Decomposition for Multimodal Interaction Learning CVPR 2026 Information-Theoretic Minimal Sufficient Representation for Multi-Domain Knowledge Graph Completion AAAI 2026 InterPrior: Scaling Generative Control for Physics-Based Human-Object Interactions CVPR 2026 LazyDINO: Fast, Scalable, and Efficiently Amortized Bayesian Inversion via Structure-Exploiting and Surrogate-Driven Measure Transport JMLR 2026 Learning Cell-Aware Hierarchical Multi-Modal Representations for Robust Molecular Modeling AAAI 2026