Variational Inference

Interpretable Diffusion via Information Decomposition ICLR 2024 IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers AAAI 2024 Joint control variate for faster black-box variational inference AISTATS 2024 Label-Agnostic Forgetting: A Supervision-Free Unlearning in Deep Models ICLR 2024 Learning Diffusion Priors from Observations by Expectation Maximization NeurIPS 2024 Learning Dynamics in Linear VAE: Posterior Collapse Threshold, Superfluous Latent Space Pitfalls, and Speedup with KL Annealing AISTATS 2024 Learning Multi-Faceted Prototypical User Interests ICLR 2024 Learning Sparse Codes with Entropy-Based ELBOs AISTATS 2024 Linear Convergence of Black-Box Variational Inference: Should We Stick the Landing? AISTATS 2024 LitePred: Transferable and Scalable Latency Prediction for Hardware-Aware Neural Architecture Search NSDI 2024 LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models NeurIPS 2024 LogicMP: A Neuro-symbolic Approach for Encoding First-order Logic Constraints ICLR 2024 Manifold Learning by Mixture Models of VAEs for Inverse Problems JMLR 2024 MEMORY-VQ: Compression for Tractable Internet-Scale Memory NAACL 2024 Mixed variational flows for discrete variables AISTATS 2024 MorphVAE: Advancing Morphological Design of Voxel-Based Soft Robots with Variational Autoencoders AAAI 2024 Multi-modal Gaussian Process Variational Autoencoders for Neural and Behavioral Data ICLR 2024 MusER: Musical Element-Based Regularization for Generating Symbolic Music with Emotion AAAI 2024 Mutual Information Estimation via f-Divergence and Data Derangements NeurIPS 2024 Mutual Information Estimation via Normalizing Flows NeurIPS 2024 Neural ATSM: Fully Neural Network-based Adaptive Time-Scale Modification Using Sentence-Specific Dynamic Control Interspeech 2024 Neural Contractive Dynamical Systems ICLR 2024 Non-Euclidean Mixture Model for Social Network Embedding NeurIPS 2024 Nonparametric Automatic Differentiation Variational Inference with Spline Approximation AISTATS 2024 On Calibration of Speech Classification Models: Insights from Energy-Based Model Investigations Interspeech 2024