Variational Inference

CARE: Causality Reasoning for Empathetic Responses by Conditional Graph Generation EMNLP 2022 Cauchy–Schwarz Regularized Autoencoder JMLR 2022 Cell Anomaly Localisation using Structured Uncertainty Prediction Networks MIDL 2022 Certifiably Robust Variational Autoencoders AISTATS 2022 CITRIS: Causal Identifiability from Temporal Intervened Sequences ICML 2022 Coarse-to-Fine Generative Modeling for Graphic Layouts AAAI 2022 Competing Mutual Information Constraints with Stochastic Competition-Based Activations for Learning Diversified Representations AAAI 2022 Concentration of Data Encoding in Parameterized Quantum Circuits NeurIPS 2022 Conditional Image Generation by Conditioning Variational Auto-Encoders ICLR 2022 Conditionally Gaussian PAC-Bayes AISTATS 2022 Connectome-constrained Latent Variable Model of Whole-Brain Neural Activity ICLR 2022 Constrained Variational Policy Optimization for Safe Reinforcement Learning ICML 2022 Continual Learning via Sequential Function-Space Variational Inference ICML 2022 Continuous-Time Meta-Learning with Forward Mode Differentiation ICLR 2022 Contrastive latent variable models for neural text generation UAI 2022 Contrastive Mixture of Posteriors for Counterfactual Inference, Data Integration and Fairness ICML 2022 Controlled Text Generation Using Dictionary Prior in Variational Autoencoders ACL 2022 Creative Painting with Latent Diffusion Models COLING 2022 Cross-Linked Unified Embedding for cross-modality representation learning NeurIPS 2022 Cross-Utterance Conditioned VAE for Non-Autoregressive Text-to-Speech ACL 2022 Crystal Diffusion Variational Autoencoder for Periodic Material Generation ICLR 2022 Data augmentation in Bayesian neural networks and the cold posterior effect UAI 2022 Decoupled Self-supervised Learning for Graphs NeurIPS 2022 Deep Attentive Variational Inference ICLR 2022 Deep Generative Model for Periodic Graphs NeurIPS 2022