Variational Inference

FSP-Laplace: Function-Space Priors for the Laplace Approximation in Bayesian Deep Learning NeurIPS 2024 Full-Atom Peptide Design with Geometric Latent Diffusion NeurIPS 2024 Functional Gradient Flows for Constrained Sampling NeurIPS 2024 GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework AAAI 2024 Gaussian Interpolation Flows JMLR 2024 Generalized Variational Inference via Optimal Transport AAAI 2024 Generative Calibration of Inaccurate Annotation for Label Distribution Learning AAAI 2024 Generative Marginalization Models ICML 2024 Generative Modeling of Regular and Irregular Time Series Data via Koopman VAEs ICLR 2024 Generative Quanta Color Imaging CVPR 2024 Globally Convergent Variational Inference NeurIPS 2024 Graph-Induced Syntactic-Semantic Spaces in Transformer-Based Variational AutoEncoders NAACL 2024 HELA-VFA: A Hellinger Distance-Attention-Based Feature Aggregation Network for Few-Shot Classification WACV 2024 HHD-GP: Incorporating Helmholtz-Hodge Decomposition into Gaussian Processes for Learning Dynamical Systems NeurIPS 2024 Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty ICLR 2024 Hyper-opinion Evidential Deep Learning for Out-of-Distribution Detection NeurIPS 2024 IBCA: An Intelligent Platform for Social Insurance Benefit Qualification Status Assessment AAAI 2024 Identifiable Feature Learning for Spatial Data with Nonlinear ICA AISTATS 2024 Implicit Neural Representation Inference for Low-Dimensional Bayesian Deep Learning ICLR 2024 Improved Particle Approximation Error for Mean Field Neural Networks NeurIPS 2024 Improved sampling via learned diffusions ICLR 2024 Improving Non-Transferable Representation Learning by Harnessing Content and Style ICLR 2024 Improving Semantic Control in Discrete Latent Spaces with Transformer Quantized Variational Autoencoders EACL 2024 Improving Unsupervised Hierarchical Representation with Reinforcement Learning CVPR 2024 Inner Classifier-Free Guidance and Its Taylor Expansion for Diffusion Models ICLR 2024