Variational Inference
2,186 papers
Papers per year
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Papers
INRetouch: Context Aware Implicit Neural Representation for Photography Retouching
WACV 2026
Interest-driven Deep Multi-modal Clustering
AAAI 2026
Intervention-Aware Time Series Modeling: Capturing and Evaluating Feature Dependencies
AAAI 2026
Learning Structurally Stabilized Representations for Lossless DNA Storage
AAAI 2026
Learning to Disentangle Latent Reasoning Rules with Language VAEs: A Systematic Study
AAAI 2026
Lithology-Aware Conditional Variational Autoencoder for Synthetic Well Log Generation in Petroleum Reservoirs (Student Abstract)
AAAI 2026
M²VAE: Multi-Modal Multi-View Variational Autoencoder for Cold-start Item Recommendation
AAAI 2026
Modeling Trend Dynamics with Variational Neural ODEs for Information Popularity Prediction
AAAI 2026
Modelling the Effects of Hearing Loss on Neural Coding in the Auditory Midbrain with Variational Conditioning
AAAI 2026
MoToRec: Sparse-Regularized Multimodal Tokenization for Cold-Start Recommender
AAAI 2026
Multi-Aspect Cross-modal Quantization for Generative Recommendation
AAAI 2026
Multimodal Gaussian Mixture Variational Autoencoder with Consistency Regularizations
AAAI 2026
Neural Diffusion Intensity Models for Point Process Data
UAI 2026
Out-of-Context Misinformation Detection via Variational Domain-Invariant Learning with Test-Time Training
AAAI 2026
PaSE: Prototype-aligned Calibration and Shapley-based Equilibrium for Multimodal Sentiment Analysis
AAAI 2026
Physical-regularized Hierarchical Generative Model for Metallic Glass Structural Generation and Energy Prediction
AAAI 2026
Prometheus: Unsupervised Discovery of Phase Transitions and Order Parameters in the 2D Ising Model Using Variational Autoencoders (Student Abstract)
AAAI 2026
ProtoGMVAE: A Variational Auto-Encoder with True Gaussian Mixture Prior for Prototypical-based Self-Explainability
WACV 2026
Pyramidal Spectrum: Frequency-based Hierarchically Vector Quantized VAE for Videos
WACV 2026
SELDON: Supernova Explosions Learned by Deep ODE Networks
AAAI 2026
ShaLa: Multimodal Shared Latent Generative Modelling
AAAI 2026
ST-TPP: Learning Semi-Transductive Temporal Point Processes with Gromov-Wasserstein Barycentric Regularization
AAAI 2026
The Structure-Equivalent Prior: Unifying Temporal Dynamics and 3D Evolution in 4D Latent Space
AAAI 2026
Towards Offline Imitation Learning: Strictly Batch Settings, Generalization, and Variability in Expertise
AAAI 2026
TraceTrans: Translation and Spatial Tracing for Surgical Prediction
AAAI 2026