conftrace_

maximum a posteriori

88 papers

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Also known as

MAP

Co-occurring keywords

bayesian inference (1907) map estimation (43) generative model (2892) convolutional neural network (4226) map inference (130) graphical model (864) diffusion model (3751) image restoration (1517) variational inference (2069) probabilistic modeling (852)

Papers

GeoBayes: Probabilistic Image Geo-Localization Inference via Sequential Bayesian Updating AAAI 2026
Temporal-Consistent Video Restoration with Pre-trained Diffusion Models AAAI 2026
Joint State and Noise Covariance Estimation RSS 2025
Inverse Problems with Diffusion Models: A MAP Estimation Perspective WACV 2025
A Decoding Algorithm for Length-Control Summarization Based on Directed Acyclic Transformers EMNLP 2024
MAP- and MLE-Based Teaching JMLR 2024
Label Shift Estimation for Class-Imbalance Problem: A Bayesian Approach WACV 2024
Generalized Bradley-Terry Models for Score Estimation from Paired Comparisons AAAI 2024
MAPTree: Beating “Optimal” Decision Trees with Bayesian Decision Trees AAAI 2024
Quality-Aware Translation Models: Efficient Generation and Quality Estimation in a Single Model ACL 2024
Diffusion Priors for Variational Likelihood Estimation and Image Denoising NIPS 2024
MAP’s not dead yet: Uncovering true language model modes by conditioning away degeneracy ACL 2024
Unleashing the Denoising Capability of Diffusion Prior for Solving Inverse Problems NIPS 2024
Preferential Normalizing Flows NIPS 2024
Deep Joint Source-Channel Coding with Iterative Source Error Correction AISTATS 2023
Should We Learn Most Likely Functions or Parameters? NIPS 2023
Asymptotics of Bayesian Uncertainty Estimation in Random Features Regression NIPS 2023
Score-based Source Separation with Applications to Digital Communication Signals NIPS 2023
Uncertainty Modeling in Generative Compressed Sensing ICML 2022
Maximum a posteriori natural scene reconstruction from retinal ganglion cells with deep denoiser priors NIPS 2022
Speech Decomposition Based on a Hybrid Speech Model and Optimal Segmentation INTERSPEECH 2021
Deep Reparametrization of Multi-Frame Super-Resolution and Denoising ICCV 2021
Deep Gaussian Scale Mixture Prior for Spectral Compressive Imaging CVPR 2021
Perturb-and-max-product: Sampling and learning in discrete energy-based models NIPS 2021
Adaptive Consistency Prior Based Deep Network for Image Denoising CVPR 2021