variational inference

SoftVQ-VAE: Efficient 1-Dimensional Continuous Tokenizer CVPR 2025 Sparse Causal Discovery with Generative Intervention for Unsupervised Graph Domain Adaptation ICML 2025 Stein Boltzmann Sampling: A Variational Approach for Global Optimization AISTATS 2025 Stochastic variance-reduced Gaussian variational inference on the Bures-Wasserstein manifold ICLR 2025 Streamlining Prediction in Bayesian Deep Learning ICLR 2025 Structural Entropy Guided Probabilistic Coding AAAI 2025 Structured IB: Improving Information Bottleneck with Structured Feature Learning AAAI 2025 Text-to-Any-Skeleton Motion Generation Without Retargeting ICCV 2025 Theoretical Convergence Guarantees for Variational Autoencoders AISTATS 2025 The VampPrior Mixture Model AISTATS 2025 Towards Out-of-Modal Generalization without Instance-level Modal Correspondence ICLR 2025 Unified Variational and Physics-aware Model for Room Impulse Response Estimation Interspeech 2025 Variational Bayesian Pseudo-Coreset ICLR 2025 Variational Best-of-N Alignment ICLR 2025 Variational Combinatorial Sequential Monte Carlo for Bayesian Phylogenetics in Hyperbolic Space AISTATS 2025 Variational Control for Guidance in Diffusion Models ICML 2025 Variational Counterfactual Intervention Planning to Achieve Target Outcomes ICML 2025 Variational Diffusion Posterior Sampling with Midpoint Guidance ICLR 2025 Variational Inference for Uncertainty Quantification: an Analysis of Trade-offs JMLR 2025 Variational Inference in Location-Scale Families: Exact Recovery of the Mean and Correlation Matrix AISTATS 2025 Variational Inference on the Boolean Hypercube with the Quantum Entropy AISTATS 2025 Variational Learning of Gaussian Process Latent Variable Models through Stochastic Gradient Annealed Importance Sampling UAI 2025 Variational Multi-Modal Hypergraph Attention Network for Multi-Modal Relation Extraction IJCAI 2025 Variational Phylogenetic Inference with Products over Bipartitions ICML 2025 Variational Search Distributions ICLR 2025