variational inference

Flexible Tails for Normalizing Flows ICML 2025 Flow-based Variational Mutual Information: Fast and Flexible Approximations ICLR 2025 Flow Matching Ergodic Coverage RSS 2025 Functional Stochastic Gradient MCMC for Bayesian Neural Networks AISTATS 2025 HDP-Flow: Generalizable Bayesian Nonparametric Model for Time Series State Discovery UAI 2025 Hierarchical Variational Test-Time Prompt Generation for Zero-Shot Generalization ICCV 2025 HYDEN: Hyperbolic Density Representations for Medical Images and Reports COLING 2025 Identifying Drivers of Predictive Aleatoric Uncertainty IJCAI 2025 Improved Variational Inference in Discrete VAEs using Error Correcting Codes UAI 2025 Information Theoretic Pruning of Coupled Channels in Deep Neural Networks WACV 2025 Injective flows for star-like manifolds ICLR 2025 InstaSHAP: Interpretable Additive Models Explain Shapley Values Instantly ICLR 2025 Interpretable Causal Representation Learning for Biological Data in the Pathway Space ICLR 2025 Koopman-Equivariant Gaussian Processes AISTATS 2025 Latent Diffusion Models with Masked AutoEncoders ICCV 2025 Learned Reference-based Diffusion Sampler for multi-modal distributions ICLR 2025 Learning Set Functions with Implicit Differentiation AAAI 2025 Learning Spatiotemporal Dynamical Systems from Point Process Observations ICLR 2025 Learning to Forget: Bayesian Time Series Forecasting using Recurrent Sparse Spectrum Signature Gaussian Processes AISTATS 2025 Learning What to Remember: Adaptive Probabilistic Memory Retention for Memory-Efficient Language Models EMNLP 2025 Modeling Inter-Intra Heterogeneity for Graph Federated Learning AAAI 2025 MPBR: Multimodal Progressive Bidirectional Reasoning for Open-Set Fine-Grained Recognition ICCV 2025 Multi-aspect Self-guided Deep Information Bottleneck for Multi-modal Clustering AAAI 2025 Multilayer Matrix Factorization via Dimension-Reducing Diffusion Variational Inference ICML 2025 Noise-Aware Differentially Private Variational Inference AISTATS 2025