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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

GBHT: Gradient Boosting Histogram Transform for Density Estimation ICML 2021
Noise Estimation Using Density Estimation for Self-Supervised Multimodal Learning AAAI 2021
Faster Kernel Matrix Algebra via Density Estimation ICML 2021
Disambiguation of Weak Supervision leading to Exponential Convergence rates ICML 2021
HyperSPNs: Compact and Expressive Probabilistic Circuits NIPS 2021
Compressed Maximum Likelihood ICML 2021
Hierarchical VAEs Know What They Don’t Know ICML 2021
A Statistical Taylor Theorem and Extrapolation of Truncated Densities COLT 2021
Neural Flows: Efficient Alternative to Neural ODEs NIPS 2021
PSD Representations for Effective Probability Models NIPS 2021
A Change of Variables Method For Rectangular Matrix-Vector Products AISTATS 2021
On the Discrepancy between Density Estimation and Sequence Generation EMNLP 2020
Relaxing Bijectivity Constraints with Continuously Indexed Normalising Flows ICML 2020
Adaptive Dilated Network With Self-Correction Supervision for Counting CVPR 2020
Gaussian Gated Linear Networks NIPS 2020
Non-parametric Models for Non-negative Functions NIPS 2020
Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows NIPS 2020
Robust Density Estimation under Besov IPM Losses NIPS 2020
Modeling Noisy Annotations for Crowd Counting NIPS 2020
HCNAF: Hyper-Conditioned Neural Autoregressive Flow and its Application for Probabilistic Occupancy Map Forecasting CVPR 2020
Exchangeable Generative Models with Flow Scans AAAI 2020
A Nonparametric Off-Policy Policy Gradient AISTATS 2020
SURF: A Simple, Universal, Robust, Fast Distribution Learning Algorithm NIPS 2020
Learning Weighted Model Integration Distributions AAAI 2020
Learning from Positive and Unlabeled Data without Explicit Estimation of Class Prior AAAI 2020