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

CountingDINO: A Training-free Pipeline for Class-Agnostic Counting using Unsupervised Backbones WACV 2026

Variational OOD State Correction for Offline Reinforcement Learning AAAI 2026

Universal Learning of Stochastic Dynamics for Exact Belief Propagation Using Bernstein Normalizing Flows AAAI 2026

Prototype-Driven Active Domain Adaptation with Density Consideration AAAI 2026

Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction AAAI 2025

Minimax Optimal Two-Sample Testing under Local Differential Privacy JMLR 2025

Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection ICCV 2025

A Wiener Process Perspective on Local Intrinsic Dimension Estimation Methods AAAI 2025

HYDEN: Hyperbolic Density Representations for Medical Images and Reports COLING 2025

Clustering by Mining Density Distributions and Splitting Manifold Structure AAAI 2025

Generalized multi-view model: Adaptive density estimation under low-rank constraints JMLR 2025

Free Lunch Enhancements for Multi-modal Crowd Counting CVPR 2025

Bagged Regularized k-Distances for Anomaly Detection JMLR 2025

Density Estimation Using the Perceptron JMLR 2025

An Axiomatic Definition of Hierarchical Clustering JMLR 2025

Algorithms for ridge estimation with convergence guarantees JMLR 2025

On the Relationship Between Monotone and Squared Probabilistic Circuits AAAI 2025

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

Quasi-Bayes meets Vines NIPS 2024

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

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

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

Density Uncertainty Layers for Reliable Uncertainty Estimation AISTATS 2024

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

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