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Variational Inference

1946 directly classified papers

Papers per year

Papers

Unsupervised Motion-Compensated Decomposition for Cardiac MRI Reconstruction via Neural Representation AAAI 2026
TraceTrans: Translation and Spatial Tracing for Surgical Prediction AAAI 2026
CAD-VAE: Leveraging Correlation-Aware Latents for Comprehensive Fair Disentanglement AAAI 2026
Augmentation-invariant Learning Strategy via Data Augmentation for Improving Model Generalization AAAI 2026
Bayesian Neural Networks for One-to-Many Mapping in Image Enhancement AAAI 2026
EVOKE: Efficient and High-Fidelity EEG-to-Video Reconstruction via Decoupling Implicit Neural Representation AAAI 2026
DR.Experts: Differential Refinement of Distortion-Aware Experts for Blind Image Quality Assessment AAAI 2026
Modelling the Effects of Hearing Loss on Neural Coding in the Auditory Midbrain with Variational Conditioning AAAI 2026
Learning Structurally Stabilized Representations for Lossless DNA Storage AAAI 2026
Physical-regularized Hierarchical Generative Model for Metallic Glass Structural Generation and Energy Prediction AAAI 2026
VAEVQ: Enhancing Discrete Visual Tokenization Through Variational Modeling AAAI 2026
Modeling Trend Dynamics with Variational Neural ODEs for Information Popularity Prediction AAAI 2026
Multimodal Gaussian Mixture Variational Autoencoder with Consistency Regularizations AAAI 2026
Class-Partitioned VQ-VAE and Latent Flow Matching for Point Cloud Scene Generation AAAI 2026
Pyramidal Spectrum: Frequency-based Hierarchically Vector Quantized VAE for Videos WACV 2026
Lithology-Aware Conditional Variational Autoencoder for Synthetic Well Log Generation in Petroleum Reservoirs (Student Abstract) 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
TTVAE: Transformer-Based Generative Modeling for Tabular Data Generation (Abstract Reprint) AAAI 2026
Discrete Facial Encoding: A Framework for Data-driven Facial Display Discovery WACV 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
PaSE: Prototype-aligned Calibration and Shapley-based Equilibrium for Multimodal Sentiment Analysis AAAI 2026
Geometry-Aware Variational Information Maximization for Deep Incomplete Multi-view Clustering AAAI 2026
ShaLa: Multimodal Shared Latent Generative Modelling AAAI 2026