Variational Inference

Permutation-Invariant Variational Autoencoder for Graph-Level Representation Learning NeurIPS 2021 Physarum Powered Differentiable Linear Programming Layers and Applications AAAI 2021 Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling NeurIPS 2021 Planning from Pixels in Atari with Learned Symbolic Representations AAAI 2021 Polarized-VAE: Proximity Based Disentangled Representation Learning for Text Generation EACL 2021 Populating 3D Scenes by Learning Human-Scene Interaction CVPR 2021 Posterior Collapse and Latent Variable Non-identifiability NeurIPS 2021 Prediction by Anticipation: An Action-Conditional Prediction Method Based on Interaction Learning ICCV 2021 Probabilistic Modeling for Human Mesh Recovery ICCV 2021 Probabilistic Numeric Convolutional Neural Networks ICLR 2021 Probabilistic Transformer For Time Series Analysis NeurIPS 2021 Probing Product Description Generation via Posterior Distillation AAAI 2021 Property Controllable Variational Autoencoder via Invertible Mutual Dependence ICLR 2021 ProsoBeast Prosody Annotation Tool Interspeech 2021 Protecting Gender and Identity with Disentangled Speech Representations Interspeech 2021 PROVIDE: a probabilistic framework for unsupervised video decomposition UAI 2021 q-Paths: Generalizing the geometric annealing path using power means UAI 2021 Quantitative Understanding of VAE as a Non-linearly Scaled Isometric Embedding ICML 2021 Quasi-Monte Carlo Quasi-Newton in Variational Bayes JMLR 2021 Rate-Regularization and Generalization in Variational Autoencoders AISTATS 2021 Raven's Progressive Matrices Completion with Latent Gaussian Process Priors AAAI 2021 Rectangular Flows for Manifold Learning NeurIPS 2021 Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness IJCAI 2021 Representation learning for improved interpretability and classification accuracy of clinical factors from EEG ICLR 2021 Robust Representation Learning via Perceptual Similarity Metrics ICML 2021