Variational Inference

Neural Markov Jump Processes ICML 2023 Neural Topic Modeling based on Cycle Adversarial Training and Contrastive Learning ACL 2023 Nonlinear Causal Discovery with Latent Confounders ICML 2023 Not All Image Regions Matter: Masked Vector Quantization for Autoregressive Image Generation CVPR 2023 NPCL: Neural Processes for Uncertainty-Aware Continual Learning NeurIPS 2023 On Discovery of Local Independence over Continuous Variables via Neural Contextual Decomposition CLeaR 2023 On the Convergence of Black-Box Variational Inference NeurIPS 2023 On the Robustness of Normalizing Flows for Inverse Problems in Imaging ICCV 2023 Overlooked Implications of the Reconstruction Loss for VAE Disentanglement IJCAI 2023 Particle-based Variational Inference with Generalized Wasserstein Gradient Flow NeurIPS 2023 Particle-based Variational Inference with Preconditioned Functional Gradient Flow ICLR 2023 Physics-enhanced Gaussian Process Variational Autoencoder L4DC 2023 Piecewise Deterministic Markov Processes for Bayesian Neural Networks UAI 2023 Pixel Adaptive Deep Unfolding Transformer for Hyperspectral Image Reconstruction ICCV 2023 Plausible May Not Be Faithful: Probing Object Hallucination in Vision-Language Pre-training EACL 2023 Pluralistic Aging Diffusion Autoencoder ICCV 2023 Positive Distribution Pollution: Rethinking Positive Unlabeled Learning from a Unified Perspective AAAI 2023 Practical and Matching Gradient Variance Bounds for Black-Box Variational Bayesian Inference ICML 2023 Precision-Recall Divergence Optimization for Generative Modeling with GANs and Normalizing Flows NeurIPS 2023 Probabilistic Integration of Object Level Annotations in Chest X-Ray Classification WACV 2023 Probabilistic Modeling of Inter- and Intra-observer Variability in Medical Image Segmentation ICCV 2023 Probabilistic Weight Fixing: Large-scale training of neural network weight uncertainties for quantisation. NeurIPS 2023 ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation NeurIPS 2023 ProtoDiffusion: Classifier-Free Diffusion Guidance with Prototype Learning ACML 2023 PVGRU: Generating Diverse and Relevant Dialogue Responses via Pseudo-Variational Mechanism ACL 2023