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

Inverse M-Kernels for Linear Universal Approximators of Non-Negative Functions NIPS 2024

Optimal Hypothesis Selection in (Almost) Linear Time NIPS 2024

EGonc : Energy-based Open-Set Node Classification with substitute Unknowns NIPS 2024

Instance-Optimal Private Density Estimation in the Wasserstein Distance NIPS 2024

Adversarial Likelihood Estimation With One-Way Flows WACV 2024

A Density-driven Iterative Prototype Optimization for Transductive Few-shot Learning IJCAI 2024

Count What You Want: Exemplar Identification and Few-Shot Counting of Human Actions in the Wild AAAI 2024

Gramformer: Learning Crowd Counting via Graph-Modulated Transformer AAAI 2024

BirdCollect: A Comprehensive Benchmark for Analyzing Dense Bird Flock Attributes AAAI 2024

Normalizing Flows on the Product Space of SO(3) Manifolds for Probabilistic Human Pose Modeling CVPR 2024

MULDE: Multiscale Log-Density Estimation via Denoising Score Matching for Video Anomaly Detection CVPR 2024

Scale-VAE: Preventing Posterior Collapse in Variational Autoencoder COLING 2024

Minimax optimal density estimation using a shallow generative model with a one-dimensional latent variable AISTATS 2024

Density Matters: Improved Core-Set for Active Domain Adaptive Segmentation AAAI 2024

Density-Regression: Efficient and Distance-aware Deep Regressor for Uncertainty Estimation under Distribution Shifts AISTATS 2024

Reconstructing Missing Variables for Multivariate Time Series Forecasting via Conditional Generative Flows IJCAI 2024

Learning Spatial Similarity Distribution for Few-shot Object Counting IJCAI 2024

Unsupervised Tree Boosting for Learning Probability Distributions JMLR 2024

Dense Projection for Anomaly Detection AAAI 2024

From Small Scales to Large Scales: Distance-to-Measure Density based Geometric Analysis of Complex Data JMLR 2024

Rates of convergence for density estimation with generative adversarial networks JMLR 2024

Density Uncertainty Layers for Reliable Uncertainty Estimation AISTATS 2024

Document Set Expansion with Positive-Unlabeled Learning Using Intractable Density Estimation COLING 2024

Towards the Uncharted: Density-Descending Feature Perturbation for Semi-supervised Semantic Segmentation CVPR 2024

Data Structures for Density Estimation ICML 2023