variational inference

2069 papers

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Also known as

VI-NET VRNN VBI SVI VIBE VQ-VAE ADVI VARNET MCVI PARVI SAVI VI VAE VMP VB BBVI ELBO VIB

Co-occurring keywords

bayesian inference (1904) gaussian process (1198) generative model (2889) variational autoencoder (1282) latent variable model (564) probabilistic modeling (851) representation learning (6174) uncertainty quantification (1365) latent variable (541) approximate inference (253)

Papers

GraphVSSM: Graph Variational State-Space Model for Probabilistic Spatiotemporal Inference of Dynamic Exposure and Vulnerability for Regional Disaster Resilience Assessment AAAI 2026

Variational OOD State Correction for Offline Reinforcement Learning AAAI 2026

Bayesian Neural Networks for One-to-Many Mapping in Image Enhancement AAAI 2026

Veli: Unsupervised Method and Unified Benchmark for Low-Cost Air Quality Sensor Correction AAAI 2026

Modelling the Effects of Hearing Loss on Neural Coding in the Auditory Midbrain with Variational Conditioning AAAI 2026

Flow-Induced Diagonal Gaussian Processes AAAI 2026

DIVINE : Coordinating Multimodal Disentangled Representations for Oro-Facial Neurological Disorder Assessment EACL 2026

Modeling Trend Dynamics with Variational Neural ODEs for Information Popularity Prediction AAAI 2026

DC-SPAN: A Dual Contrastive Attention Network for Multi-View Clustering AAAI 2026

Score-Based Model for Low-Rank Tensor Recovery AAAI 2026

BayesVQA: Energy-Guided Bayesian Debiasing for Language-Bias-Robust Visual Question Answering AAAI 2026

Information-Theoretic Minimal Sufficient Representation for Multi-Domain Knowledge Graph Completion AAAI 2026

SCORE: Semantic Collage by Optimizing Rendered Elements AAAI 2026

Diffusion Reconstruction-based Data Likelihood Estimation for Core-Set Selection AAAI 2026

Rethinking Latent Variable in Learned Image Compression WACV 2026

Beyond Coherence: Improving Temporal Consistency and Interpretability in Dynamic Topic Models EACL 2026

Continual Neural Topic Model EACL 2026

Learning Cell-Aware Hierarchical Multi-Modal Representations for Robust Molecular Modeling AAAI 2026

MIGDiff: Multi-attributes Imputations for Attribute-missing Graphs via Graph Denoising Diffusion Model AAAI 2026

DFRec: Dual Fluctuation Modeling of Multi-level Intent Evolution for Next-Item Recommendation 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

VITA: Variational Pretraining of Transformers for Climate-Robust Crop Yield Forecasting AAAI 2026

Towards Offline Imitation Learning: Strictly Batch Settings, Generalization, and Variability in Expertise AAAI 2026

Explore How to Inject Beneficial Noise in MLLMs AAAI 2026