Variational Inference

Building Expressive and Tractable Probabilistic Generative Models: A Review IJCAI 2024 Cauchy-Schwarz Divergence Information Bottleneck for Regression ICLR 2024 Causal Context Adjustment Loss for Learned Image Compression NeurIPS 2024 Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction EMNLP 2024 Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder ICLR 2024 Combining Hierachical VAEs with LLMs for clinically meaningful timeline summarisation in social media ACL 2024 Conditional Variational Autoencoder for Sign Language Translation with Cross-Modal Alignment AAAI 2024 ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection ICLR 2024 Considering Nonstationary within Multivariate Time Series with Variational Hierarchical Transformer for Forecasting AAAI 2024 ContextGS : Compact 3D Gaussian Splatting with Anchor Level Context Model NeurIPS 2024 Cross-Scale Self-Supervised Blind Image Deblurring via Implicit Neural Representation NeurIPS 2024 Cumulative Difference Learning VAE for Time-Series with Temporally Correlated Inflow-Outflow AAAI 2024 CV-VAE: A Compatible Video VAE for Latent Generative Video Models NeurIPS 2024 DAG-Aware Variational Autoencoder for Social Propagation Graph Generation AAAI 2024 DATS: Difficulty-Aware Task Sampler for Meta-Learning Physics-Informed Neural Networks ICLR 2024 Deep Generative Clustering with Multimodal Diffusion Variational Autoencoders ICLR 2024 Deep Generative Model based Rate-Distortion for Image Downscaling Assessment CVPR 2024 Deep Hierarchical Video Compression AAAI 2024 DeepITE: Designing Variational Graph Autoencoders for Intervention Target Estimation NeurIPS 2024 Deep Variational Incomplete Multi-View Clustering: Exploring Shared Clustering Structures AAAI 2024 DEFT: Efficient Fine-tuning of Diffusion Models by Learning the Generalised h-transform NeurIPS 2024 Delta-AI: Local objectives for amortized inference in sparse graphical models ICLR 2024 DiffEnc: Variational Diffusion with a Learned Encoder ICLR 2024 DiffusionDialog: A Diffusion Model for Diverse Dialog Generation with Latent Space COLING 2024 Diffusion Models With Learned Adaptive Noise NeurIPS 2024