latent variable model

Stochastic Encodings for Active Feature Acquisition ICML 2025 Substitute Adjustment via Recovery of Latent Variables JMLR 2025 Unlocking Point Processes through Point Set Diffusion ICLR 2025 A Bayesian Spatial Model to Correct Under-Reporting in Urban Crowdsourcing AAAI 2024 A Differentiable Partially Observable Generalized Linear Model with Forward-Backward Message Passing ICML 2024 A Diffusion Model Framework for Unsupervised Neural Combinatorial Optimization ICML 2024 Amortized Variational Inference: When and Why? UAI 2024 A Variational Autoencoder for Neural Temporal Point Processes with Dynamic Latent Graphs AAAI 2024 Bringing Motion Taxonomies to Continuous Domains via GPLVM on Hyperbolic manifolds ICML 2024 Causal Structure Recovery with Latent Variables under Milder Distributional and Graphical Assumptions ICLR 2024 Double InfoGAN for Contrastive Analysis AISTATS 2024 Estimating treatment effects from single-arm trials via latent-variable modeling AISTATS 2024 Explaining Mixtures of Sources in News Articles EMNLP 2024 Exploring Behavior-Relevant and Disentangled Neural Dynamics with Generative Diffusion Models NeurIPS 2024 Exploring Conditional Variational Mechanism to Pinyin Input Method for Addressing One-to-Many Mappings in Low-Resource Scenarios ACL 2024 Forward χ^2 Divergence Based Variational Importance Sampling ICLR 2024 Generative Marginalization Models ICML 2024 Identifiability of Product of Experts Models AISTATS 2024 Identifying and Addressing Disparities in Public Libraries with Bayesian Latent Variable Modeling AAAI 2024 Latent variable model for high-dimensional point process with structured missingness ICML 2024 Learned Lossless Image Compression based on Bit Plane Slicing CVPR 2024 Learning Linear Causal Representations from General Environments: Identifiability and Intrinsic Ambiguity NeurIPS 2024 Learning to Cooperate with Humans using Generative Agents NeurIPS 2024 Learning to Decode Collaboratively with Multiple Language Models ACL 2024 Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables AAAI 2024