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density estimation

397 papers

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Also known as

KL

Co-occurring keywords

normalizing flow (354) generative model (2889) crowd counting (101) variational inference (2069) unsupervised learning (3255) anomaly detection (740) autoregressive model (453) bayesian inference (1904) neural network (6616) variational autoencoder (1282)

Papers

WeaNF”:" Weak Supervision with Normalizing Flows ACL 2022
Density-driven Regularization for Out-of-distribution Detection NIPS 2022
Estimating Density Models with Truncation Boundaries using Score Matching JMLR 2022
An Improper Estimator with Optimal Excess Risk in Misspecified Density Estimation and Logistic Regression JMLR 2022
Meta Reinforcement Learning with Finite Training Tasks - a Density Estimation Approach NIPS 2022
Unsupervised Image-to-Image Translation with Density Changing Regularization NIPS 2022
Fully Convolutional Cross-Scale-Flows for Image-Based Defect Detection WACV 2022
Calibrated and Sharp Uncertainties in Deep Learning via Density Estimation ICML 2022
Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations AISTATS 2022
LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood ICML 2022
Concrete Score Matching: Generalized Score Matching for Discrete Data NIPS 2022
ButterflyFlow: Building Invertible Layers with Butterfly Matrices ICML 2022
Lyapunov Density Models: Constraining Distribution Shift in Learning-Based Control ICML 2022
General-purpose, long-context autoregressive modeling with Perceiver AR ICML 2022
Discrete Tree Flows via Tree-Structured Permutations ICML 2022
Learning and Generalization in Overparameterized Normalizing Flows AISTATS 2022
Principal Component Flows ICML 2022
Non-identifiability and the Blessings of Misspecification in Models of Molecular Fitness NIPS 2022
Dataset Inference for Self-Supervised Models NIPS 2022
$k$-Sliced Mutual Information: A Quantitative Study of Scalability with Dimension NIPS 2022
Conditionally Tractable Density Estimation using Neural Networks AISTATS 2022
Triangular Flows for Generative Modeling: Statistical Consistency, Smoothness Classes, and Fast Rates AISTATS 2022
Resampling Base Distributions of Normalizing Flows AISTATS 2022
Adaptation of the Independent Metropolis-Hastings Sampler with Normalizing Flow Proposals AISTATS 2022
Neural Inverse Transform Sampler ICML 2022