Variational Inference

Variational Graph Auto-Encoder Driven Graph Enhancement for Sequential Recommendation IJCAI 2025 Variational Inference for Uncertainty Quantification: an Analysis of Trade-offs JMLR 2025 Variational Search Distributions ICLR 2025 VideoVAE+: Large Motion Video Autoencoding with Cross-modal Video VAE ICCV 2025 V-VAE: A Variational Auto Encoding Framework Towards Fine-Grained Control over Human-Like Chat EMNLP 2025 αTC-VAE: On the relationship between Disentanglement and Diversity ICLR 2024 t^3-Variational Autoencoder: Learning Heavy-tailed Data with Student's t and Power Divergence ICLR 2024 Accelerating Relative Entropy Coding with Space Partitioning NeurIPS 2024 Adaptive importance sampling for heavy-tailed distributions via $α$-divergence minimization AISTATS 2024 A Deep Probabilistic Spatiotemporal Framework for Dynamic Graph Representation Learning with Application to Brain Disorder Identification IJCAI 2024 A Differentiable Partially Observable Generalized Linear Model with Forward-Backward Message Passing ICML 2024 Adversarial Adaptive Sampling: Unify PINN and Optimal Transport for the Approximation of PDEs ICLR 2024 Adversarial Purification with the Manifold Hypothesis AAAI 2024 A Generative Multi-Resolution Pyramid and Normal-Conditioning 3D Cloth Draping WACV 2024 A Hierarchical Bayesian Model for Few-Shot Meta Learning ICLR 2024 Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space COLT 2024 AmortizedPeriod: Attention-based Amortized Inference for Periodicity Identification ICLR 2024 Amortized Variational Deep Kernel Learning ICML 2024 Asymptotics of Alpha-Divergence Variational Inference Algorithms with Exponential Families NeurIPS 2024 A Variational Autoencoder for Neural Temporal Point Processes with Dynamic Latent Graphs AAAI 2024 Batch and match: black-box variational inference with a score-based divergence ICML 2024 Benefits of Non-Linear Scale Parameterizations in Black Box Variational Inference through Smoothness Results and Gradient Variance Bounds AISTATS 2024 Beyond Vanilla Variational Autoencoders: Detecting Posterior Collapse in Conditional and Hierarchical Variational Autoencoders ICLR 2024 Black Box Variational Inference with a Deterministic Objective: Faster, More Accurate, and Even More Black Box JMLR 2024 Blind Zero-Shot Audio Restoration: A Variational Autoencoder Approach for Denoising and Inpainting Interspeech 2024