Variational Inference

Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation ICLR 2023 DyCVAE: Learning Dynamic Causal Factors for Non-stationary Series Domain Generalization (Student Abstract) AAAI 2023 Dynamic Mesh Recovery from Partial Point Cloud Sequence ICCV 2023 Efficient Latent Variable Modeling for Knowledge-Grounded Dialogue Generation EMNLP 2023 Efficient Transformed Gaussian Processes for Non-Stationary Dependent Multi-class Classification ICML 2023 Eliciting Rich Positive Emotions in Dialogue Generation ACL 2023 Embracing the chaos: analysis and diagnosis of numerical instability in variational flows NeurIPS 2023 End-To-End Latent Variational Diffusion Models for Inverse Problems in High Energy Physics NeurIPS 2023 Energy-Inspired Self-Supervised Pretraining for Vision Models ICLR 2023 Enhancing Dynamic GCN for Node Attribute Forecasting with Meta Spatial-Temporal Learning (Student Abstract) AAAI 2023 Epistemic Neural Networks NeurIPS 2023 ESLAM: Efficient Dense SLAM System Based on Hybrid Representation of Signed Distance Fields CVPR 2023 Explicitly Minimizing the Blur Error of Variational Autoencoders ICLR 2023 Exploring The Role of Mean Teachers in Self-supervised Masked Auto-Encoders ICLR 2023 Factorial SDE for Multi-Output Gaussian Process Regression AISTATS 2023 Faster Relative Entropy Coding with Greedy Rejection Coding NeurIPS 2023 Federated Learning as Variational Inference: A Scalable Expectation Propagation Approach ICLR 2023 Federated Learning With Data-Agnostic Distribution Fusion CVPR 2023 Fine-Tuning Generative Models as an Inference Method for Robotic Tasks CoRL 2023 Flat Seeking Bayesian Neural Networks NeurIPS 2023 Flow Annealed Importance Sampling Bootstrap ICLR 2023 Flow-VAE VC: End-to-End Flow Framework with Contrastive Loss for Zero-shot Voice Conversion Interspeech 2023 Forward-Backward Gaussian Variational Inference via JKO in the Bures-Wasserstein Space ICML 2023 Free-Form Variational Inference for Gaussian Process State-Space Models ICML 2023 Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes ICML 2023