Variational Inference

A Multi-Objective Optimization Framework for Adaptive Weighting in Physics-Informed Machine Learning 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 Beta Distribution Learning for Reliable Roadway Crash Risk Assessment AAAI 2026 CAD-VAE: Leveraging Correlation-Aware Latents for Comprehensive Fair Disentanglement AAAI 2026 Class-Partitioned VQ-VAE and Latent Flow Matching for Point Cloud Scene Generation AAAI 2026 Continual Neural Topic Model EACL 2026 Debiased Cognitive Diagnosis: A Contrastive Counterfactual Modeling Method via Variational Autoencoder AAAI 2026 DIET: Machine Unlearning on a Data-Diet AAAI 2026 Discrete Facial Encoding: A Framework for Data-driven Facial Display Discovery WACV 2026 Disentangle and Regularize: Sign Language Production with Articulator-Based Disentanglement and Channel-Aware Regularization WACV 2026 DIVINE : Coordinating Multimodal Disentangled Representations for Oro-Facial Neurological Disorder Assessment EACL 2026 DreamMakeup: Face Makeup Customization using Latent Diffusion Models WACV 2026 DR.Experts: Differential Refinement of Distortion-Aware Experts for Blind Image Quality Assessment AAAI 2026 Efficient Modality Translation via Arbitrary Conditioning and Wasserstein Regularization AAAI 2026 EVOKE: Efficient and High-Fidelity EEG-to-Video Reconstruction via Decoupling Implicit Neural Representation AAAI 2026 FedAU2: Attribute Unlearning for User-Level Federated Recommender Systems with Adaptive and Robust Adversarial Training AAAI 2026 Fidelity-Aware Recommendation Explanations via Stochastic Path Integration AAAI 2026 Flow-Induced Diagonal Gaussian Processes 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 GloTok: Global Perspective Tokenizer for Image Reconstruction and Generation AAAI 2026 GraphVSSM: Graph Variational State-Space Model for Probabilistic Spatiotemporal Inference of Dynamic Exposure and Vulnerability for Regional Disaster Resilience Assessment AAAI 2026 Guided Latent Spaces for Controllable Multi-Scenario Generation in Autonomous Driving (Student Abstract) AAAI 2026 Implicit Variational Rejection Sampling UAI 2026