Variational Inference

Diffusion Priors for Variational Likelihood Estimation and Image Denoising NeurIPS 2024 Disentangling Time Series Representations via Contrastive Independence-of-Support on l-Variational Inference ICLR 2024 Distributional Inclusion Hypothesis and Quantifications: Probing for Hypernymy in Functional Distributional Semantics ACL 2024 DiVERT: Distractor Generation with Variational Errors Represented as Text for Math Multiple-choice Questions EMNLP 2024 Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm NeurIPS 2024 Document Hashing with Multi-Grained Prototype-Induced Hierarchical Generative Model EMNLP 2024 Doubly Hierarchical Geometric Representations for Strand-based Human Hairstyle Generation NeurIPS 2024 Dual Encoder GAN Inversion for High-Fidelity 3D Head Reconstruction from Single Images NeurIPS 2024 Dynamic Multimodal Information Bottleneck for Multimodality Classification WACV 2024 EigenVI: score-based variational inference with orthogonal function expansions NeurIPS 2024 Empirical Prior for Text Autoencoders EMNLP 2024 Enhancing Phrase Representation by Information Bottleneck Guided Text Diffusion Process for Keyphrase Extraction COLING 2024 Enhancing Short-Text Topic Modeling with LLM-Driven Context Expansion and Prefix-Tuned VAEs EMNLP 2024 Entropy-MCMC: Sampling from Flat Basins with Ease ICLR 2024 Explainable Earnings Call Representation Learning (Student Abstract) AAAI 2024 Explainable Origin-Destination Crowd Flow Interpolation via Variational Multi-Modal Recurrent Graph Auto-Encoder AAAI 2024 eXponential FAmily Dynamical Systems (XFADS): Large-scale nonlinear Gaussian state-space modeling NeurIPS 2024 Expressive paragraph text-to-speech synthesis with multi-step variational autoencoder Interspeech 2024 Fearless Stochasticity in Expectation Propagation NeurIPS 2024 Few-Shot Task Learning through Inverse Generative Modeling NeurIPS 2024 Fixed points of nonnegative neural networks JMLR 2024 Flaws can be Applause: Unleashing Potential of Segmenting Ambiguous Objects in SAM NeurIPS 2024 Fortuna: A Library for Uncertainty Quantification in Deep Learning JMLR 2024 Forward χ^2 Divergence Based Variational Importance Sampling ICLR 2024 Frogs into princes: A generative model to understand the success of product descriptions COLING 2024