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Variational Inference
1946 directly classified papers
Papers per year
2005: 2
2006: 7
2007: 7
2008: 4
2009: 8
2010: 9
2011: 11
2012: 14
2013: 16
2014: 11
2015: 30
2016: 40
2017: 75
2018: 140
2019: 257
2020: 250
2021: 275
2022: 253
2023: 233
2024: 146
2025: 103
2026: 55
Papers
TTVAE: Transformer-Based Generative Modeling for Tabular Data Generation (Abstract Reprint)
AAAI 2026
Modelling the Effects of Hearing Loss on Neural Coding in the Auditory Midbrain with Variational Conditioning
AAAI 2026
Class-Partitioned VQ-VAE and Latent Flow Matching for Point Cloud Scene Generation
AAAI 2026
TraceTrans: Translation and Spatial Tracing for Surgical Prediction
AAAI 2026
Unsupervised Motion-Compensated Decomposition for Cardiac MRI Reconstruction via Neural Representation
AAAI 2026
ProtoGMVAE: A Variational Auto-Encoder with True Gaussian Mixture Prior for Prototypical-based Self-Explainability
WACV 2026
DreamMakeup: Face Makeup Customization using Latent Diffusion Models
WACV 2026
Pyramidal Spectrum: Frequency-based Hierarchically Vector Quantized VAE for Videos
WACV 2026
Discrete Facial Encoding: A Framework for Data-driven Facial Display Discovery
WACV 2026
Continual Neural Topic Model
EACL 2026
Learning Structurally Stabilized Representations for Lossless DNA Storage
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
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
Turbo-VAED: Fast and Stable Transfer of Video-VAEs to Mobile Devices
AAAI 2026
M²VAE: Multi-Modal Multi-View Variational Autoencoder for Cold-start 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
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
SELDON: Supernova Explosions Learned by Deep ODE Networks
AAAI 2026
Debiased Cognitive Diagnosis: A Contrastive Counterfactual Modeling Method via Variational Autoencoder
AAAI 2026
Interest-driven Deep Multi-modal Clustering
AAAI 2026
Guided Latent Spaces for Controllable Multi-Scenario Generation in Autonomous Driving (Student Abstract)
AAAI 2026
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