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Variational Inference

1,952 papers

Papers per year

2
9
31
252
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Papers

Turbo-VAED: Fast and Stable Transfer of Video-VAEs to Mobile Devices AAAI 2026
Fidelity-Aware Recommendation Explanations via Stochastic Path Integration AAAI 2026
M²VAE: Multi-Modal Multi-View Variational Autoencoder for Cold-start Item Recommendation AAAI 2026
MoToRec: Sparse-Regularized Multimodal Tokenization for Cold-Start Recommender AAAI 2026
Multi-Aspect Cross-modal Quantization for Generative Recommendation AAAI 2026
Learning to Disentangle Latent Reasoning Rules with Language VAEs: A Systematic Study 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
ShaLa: Multimodal Shared Latent Generative Modelling AAAI 2026
Veli: Unsupervised Method and Unified Benchmark for Low-Cost Air Quality Sensor Correction AAAI 2026
Intervention-Aware Time Series Modeling: Capturing and Evaluating Feature Dependencies AAAI 2026
DIET: Machine Unlearning on a Data-Diet AAAI 2026
FedAU2: Attribute Unlearning for User-Level Federated Recommender Systems with Adaptive and Robust Adversarial Training AAAI 2026
Flow-Induced Diagonal Gaussian Processes AAAI 2026
Efficient Modality Translation via Arbitrary Conditioning and Wasserstein Regularization AAAI 2026
ST-TPP: Learning Semi-Transductive Temporal Point Processes with Gromov-Wasserstein Barycentric Regularization AAAI 2026
A Multi-Objective Optimization Framework for Adaptive Weighting in Physics-Informed Machine Learning AAAI 2026
SELDON: Supernova Explosions Learned by Deep ODE Networks AAAI 2026
Debiased Cognitive Diagnosis: A Contrastive Counterfactual Modeling Method via Variational Autoencoder AAAI 2026
Out-of-Context Misinformation Detection via Variational Domain-Invariant Learning with Test-Time Training AAAI 2026
Interest-driven Deep Multi-modal Clustering AAAI 2026
PaSE: Prototype-aligned Calibration and Shapley-based Equilibrium for Multimodal Sentiment Analysis AAAI 2026
GraphVSSM: Graph Variational State-Space Model for Probabilistic Spatiotemporal Inference of Dynamic Exposure and Vulnerability for Regional Disaster Resilience Assessment AAAI 2026
Beta Distribution Learning for Reliable Roadway Crash Risk Assessment AAAI 2026
VITA: Variational Pretraining of Transformers for Climate-Robust Crop Yield Forecasting AAAI 2026