variational lower bound

FUSER: Feed-Forward Multiview 3D Registration Transformer and SE(3)$^N$ Diffusion Refinement CVPR 2026 Accurate and Scalable Stochastic Gaussian Process Regression via Learnable Coreset-based Variational Inference UAI 2025 DiffPCI: Large Motion Point Cloud frame Interpolation with Diffusion Model ICCV 2025 Learning-Order Autoregressive Models with Application to Molecular Graph Generation ICML 2025 Pareto-frontier Entropy Search with Variational Lower Bound Maximization ICML 2025 Piloting Structure-Based Drug Design via Modality-Specific Optimal Schedule ICML 2025 Simple Guidance Mechanisms for Discrete Diffusion Models ICLR 2025 Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion NeurIPS 2024 Sample as you Infer: Predictive Coding with Langevin Dynamics ICML 2024 Sharpness-Aware Minimization Activates the Interactive Teaching's Understanding and Optimization NeurIPS 2024 Diffusion Probabilistic Models for Structured Node Classification NeurIPS 2023 Evolutionary Variational Optimization of Generative Models JMLR 2022 Probabilistic Implicit Scene Completion ICLR 2022 Riemannian Diffusion Models NeurIPS 2022 Efficient Empowerment Estimation for Unsupervised Stabilization ICLR 2021 Structured Denoising Diffusion Models in Discrete State-Spaces NeurIPS 2021 Variational Diffusion Models NeurIPS 2021 Effective Unsupervised Domain Adaptation with Adversarially Trained Language Models EMNLP 2020 Instance-wise Feature Grouping NeurIPS 2020 Hierarchical Importance Weighted Autoencoders ICML 2019 Mutual Information Maximization for Simple and Accurate Part-Of-Speech Induction NAACL 2019 Preventing Posterior Collapse with delta-VAEs ICLR 2019 Read, Attend and Comment: A Deep Architecture for Automatic News Comment Generation EMNLP 2019 Show, Attend and Tell: Neural Image Caption Generation with Visual Attention ICML 2015 Neural Variational Inference and Learning in Belief Networks ICML 2014