conftrace_

latent variable model

564 papers

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Also known as

LVM

Co-occurring keywords

variational inference (2069) latent variable (541) variational autoencoder (1288) gaussian process (1200) bayesian inference (1907) generative model (2892) expectation maximization (255) unsupervised learning (3264) probabilistic modeling (852) probabilistic model (476)

Papers

Error bounds for particle gradient descent, and extensions of the log-Sobolev and Talagrand inequalities JMLR 2025
Exponential Family Graphical Models: Correlated Replicates and Unmeasured Confounders, with Applications to fMRI Data JMLR 2025
Logic-Regularized Verifier Elicits Reasoning from LLMs ACL 2025
Substitute Adjustment via Recovery of Latent Variables JMLR 2025
Fitted Neural Lossless Image Compression CVPR 2025
Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors AAAI 2025
Learning Linear Causal Representations from General Environments: Identifiability and Intrinsic Ambiguity NIPS 2024
Learning to Cooperate with Humans using Generative Agents NIPS 2024
Identifiability of Product of Experts Models AISTATS 2024
Tuning-Free Maximum Likelihood Training of Latent Variable Models via Coin Betting AISTATS 2024
Double InfoGAN for Contrastive Analysis AISTATS 2024
A Variational Autoencoder for Neural Temporal Point Processes with Dynamic Latent Graphs AAAI 2024
Warped Diffusion for Latent Differentiation Inference AISTATS 2024
QueST: Self-Supervised Skill Abstractions for Learning Continuous Control NIPS 2024
On the In-context Generation of Language Models EMNLP 2024
Learned Lossless Image Compression based on Bit Plane Slicing CVPR 2024
Probabilistic Weather Forecasting with Hierarchical Graph Neural Networks NIPS 2024
Exploring Behavior-Relevant and Disentangled Neural Dynamics with Generative Diffusion Models NIPS 2024
Symmetric Equilibrium Learning of VAEs AISTATS 2024
Estimating treatment effects from single-arm trials via latent-variable modeling AISTATS 2024
Transfer Learning for Latent Variable Network Models NIPS 2024
Learning to Decode Collaboratively with Multiple Language Models ACL 2024
Generative Marginalization Models ICML 2024
Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning NIPS 2024
A Bayesian Spatial Model to Correct Under-Reporting in Urban Crowdsourcing AAAI 2024