conftrace_

latent variable

541 papers

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Co-occurring keywords

variational autoencoder (1288) variational inference (2069) latent variable model (564) generative model (2892) graphical model (864) causal inference (1630) causal discovery (460) representation learning (6206) unsupervised learning (3264) dialogue generation (454)

Papers

Rethinking Latent Variable in Learned Image Compression WACV 2026
Substitute Adjustment via Recovery of Latent Variables JMLR 2025
Extremal graphical modeling with latent variables via convex optimization JMLR 2025
InPO: Inversion Preference Optimization with Reparametrized DDIM for Efficient Diffusion Model Alignment CVPR 2025
Deep Variational Multivariate Information Bottleneck - A Framework for Variational Losses JMLR 2025
Diffusion-Based Conditional Image Editing through Optimized Inference with Guidance WACV 2025
Local Causal Discovery Without Causal Sufficiency AAAI 2025
Disentangling Disentangled Representations: Towards Improved Latent Units via Diffusion Models WACV 2025
Learned Image Compression with Hierarchical Progressive Context Modeling ICCV 2025
Diffusion Directed Acyclic Transformer for Non-Autoregressive Machine Translation ACL 2025
V-VAE: A Variational Auto Encoding Framework Towards Fine-Grained Control over Human-Like Chat EMNLP 2025
Logic-Regularized Verifier Elicits Reasoning from LLMs ACL 2025
Exponential Family Graphical Models: Correlated Replicates and Unmeasured Confounders, with Applications to fMRI Data JMLR 2025
PATCH! Psychometrics-AssisTed BenCHmarking of Large Language Models against Human Populations: A Case Study of Proficiency in 8th Grade Mathematics ACL 2025
Degree of Interference: A General Framework For Causal Inference Under Interference JMLR 2025
Bi-Level Optimization for Semi-Supervised Learning with Pseudo-Labeling AAAI 2025
Test-time Adaptation for Foundation Medical Segmentation Model Without Parametric Updates ICCV 2025
Inverting the Generation Process of Denoising Diffusion Implicit Models: Empirical Evaluation and a Novel Method WACV 2025
SAGE: Steering Dialog Generation with Future-Aware State-Action Augmentation EMNLP 2025
Multi-Domain Causal Representation Learning via Weak Distributional Invariances AISTATS 2024
TreeVI: Reparameterizable Tree-structured Variational Inference for Instance-level Correlation Capturing NIPS 2024
Identification of Causal Structure with Latent Variables Based on Higher Order Cumulants AAAI 2024
Minimax optimal density estimation using a shallow generative model with a one-dimensional latent variable AISTATS 2024
Abstract and Explore: A Novel Behavioral Metric with Cyclic Dynamics in Reinforcement Learning AAAI 2024
Shuffled Deep Regression AAAI 2024