Variational Inference

Audio-Visual Localization by Synthetic Acoustic Image Generation AAAI 2021 A Unified 3D Human Motion Synthesis Model via Conditional Variational Auto-Encoder ICCV 2021 Automatic Differentiation Variational Inference with Mixtures AISTATS 2021 Automatic structured variational inference AISTATS 2021 Automatic variational inference with cascading flows ICML 2021 A Variational Inference Approach to Learning Multivariate Wold Processes AISTATS 2021 A Variational Perspective on Diffusion-Based Generative Models and Score Matching NeurIPS 2021 BasisDeVAE: Interpretable Simultaneous Dimensionality Reduction and Feature-Level Clustering with Derivative-Based Variational Autoencoders ICML 2021 Bayesian Context Aggregation for Neural Processes ICLR 2021 Bayesian Deep Learning via Subnetwork Inference ICML 2021 Bayesian Nested Neural Networks for Uncertainty Calibration and Adaptive Compression CVPR 2021 BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery NeurIPS 2021 Behavior-Driven Synthesis of Human Dynamics CVPR 2021 Bidirectional Variational Inference for Non-Autoregressive Text-to-Speech ICLR 2021 Bridging Explicit and Implicit Deep Generative Models via Neural Stein Estimators NeurIPS 2021 ByPE-VAE: Bayesian Pseudocoresets Exemplar VAE NeurIPS 2021 Capturing Label Characteristics in VAEs ICLR 2021 Capturing Uncertainty in Unsupervised GPS Trajectory Segmentation Using Bayesian Deep Learning AAAI 2021 Cascaded Head-colliding Attention ACL 2021 Causal Attention for Vision-Language Tasks CVPR 2021 CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models CVPR 2021 Challenges and Opportunities in High Dimensional Variational Inference NeurIPS 2021 Challenging the Semi-Supervised VAE Framework for Text Classification EMNLP 2021 Clockwork Variational Autoencoders NeurIPS 2021 Cluster-Wise Hierarchical Generative Model for Deep Amortized Clustering CVPR 2021