conftrace_

likelihood estimation

35 papers

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Co-occurring keywords

generative model (2892) normalizing flow (354) variational inference (2069) diffusion model (3751) score matching (97) maximum likelihood (255) variational autoencoder (1288) deep generative model (143) denoising score matching (19) curse of dimensionality (61)

Papers

BBScoreV2: Learning Time-Evolution and Latent Alignment from Stochastic Representation EMNLP 2025
Understanding Likelihood of Normalizing Flow and Image Complexity through the Lens of Out-of-Distribution Detection AAAI 2024
MULDE: Multiscale Log-Density Estimation via Denoising Score Matching for Video Anomaly Detection CVPR 2024
Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling NIPS 2024
Classification Diffusion Models: Revitalizing Density Ratio Estimation NIPS 2024
Detecting Subtle Differences between Human and Model Languages Using Spectrum of Relative Likelihood EMNLP 2024
Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs ICML 2023
The Lauritzen-Chen Likelihood For Graphical Models AISTATS 2023
Risk Bounds on Aleatoric Uncertainty Recovery AISTATS 2023
Training Energy-Based Normalizing Flow with Score-Matching Objectives NIPS 2023
A Likelihood Approach to Nonparametric Estimation of a Singular Distribution Using Deep Generative Models JMLR 2023
Normalizing flow neural networks by JKO scheme NIPS 2023
FP-Diffusion: Improving Score-based Diffusion Models by Enforcing the Underlying Score Fokker-Planck Equation ICML 2023
Maximum sampled conditional likelihood for informative subsampling JMLR 2022
Implicit Feature Decoupling With Depthwise Quantization CVPR 2022
Maximum Likelihood Training for Score-based Diffusion ODEs by High Order Denoising Score Matching ICML 2022
LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood ICML 2022
Flowification: Everything is a normalizing flow NIPS 2022
Riemannian Diffusion Models NIPS 2022
Sparse Probabilistic Circuits via Pruning and Growing NIPS 2022
Whittle Networks: A Deep Likelihood Model for Time Series ICML 2021
Probabilistic Tracklet Scoring and Inpainting for Multiple Object Tracking CVPR 2021
A Variational Perspective on Diffusion-Based Generative Models and Score Matching NIPS 2021
Structured Output Learning with Conditional Generative Flows AAAI 2020
SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows NIPS 2020