Density Estimation
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Benchmarks
CIFAR-10
MNIST
UCI POWER
BSDS300
ImageNet 32x32
UCI GAS
UCI HEPMASS
UCI MINIBOONE
OMNIGLOT
Caltech-101
Freyfaces
CIFAR-10 (Conditional)
CelebA-HQ 256x256
ImageNet 64x64
Most implemented
Denoising Diffusion Probabilistic Models
Density estimation using Real NVP
Importance Weighted Autoencoders
Glow: Generative Flow with Invertible 1x1 Convolutions
Masked Autoregressive Flow for Density Estimation
MADE: Masked Autoencoder for Distribution Estimation
Papers
Learning Discriminative Geometry for Drifting Models
Recently proposed Drifting Models shift iterative distribution refinement from inference to training, enabling effective one-step generation. However, their performance on complex image datasets depends strongly on the r…
Representation LearningDensity EstimationDiffusion Reward Models
Reward models underpin the alignment of large language models, yet the dominant designs reduce each prompt--response pair to a point estimate or to a distribution from a fixed parametric family. This is at odds with huma…
Density EstimationQuantifying Spectral Differences in Vehicle Kinematics Between Production Autonomous and Human-Driven Vehicles Across Driving Scenarios
Differences in vehicle kinematic characteristics between production autonomous vehicles (PAVs) and human-driven vehicles (HVs) have been limitedly investigated by empirical studies. Most recent studies rely on simulation…
Autonomous VehiclesDensity EstimationAutonomous DrivingGLASS: Graph-Language Alignment with Spherical Scoring for Transferable Graph-Level Anomaly Detection
We introduce GLASS, a framework for graph-level anomaly detection (GLAD) that achieves robust cross-domain transferability through graph-language alignment on the unit hypersphere. GLASS builds a unified representation s…
Density EstimationAnomaly DetectionPuTR-CouT: Counting-by-Tracking in Camera-Trap Image Sequences
Species identification in camera trap images has been widely studied, but key ecological modeling tasks such as species abundance or density estimation also require counting individual animals. However, the lack of count…
Density EstimationFaster Learning under Relaxed Local Differential Privacy
We consider density estimation under the relaxed local differential privacy condition that the privatized distributions are $α$-close in total variation distance. We show that adding independent noise with a convenient s…
Density Estimation