Nonparametric Density Estimation for High-Dimensional Data - Algorithms and Applications

30 March 2019

Papers citing "Nonparametric Density Estimation for High-Dimensional Data - Algorithms and Applications"

11 / 11 papers shown

Title
Discrete distributions are learnable from metastable samples Abhijith Jayakumar A. Lokhov Sidhant Misra Marc Vuffray 42 1 0 17 Oct 2024
A Mathematical Framework for Learning Probability Distributions Hongkang Yang 31 7 0 22 Dec 2022
Statistical Physics of Deep Neural Networks: Initialization toward Optimal Channels Kangyu Weng Aohua Cheng Ziyang Zhang Pei Sun Yang Tian 55 2 0 04 Dec 2022
Uniform-in-Phase-Space Data Selection with Iterative Normalizing Flows M. Hassanaly Bruce A. Perry M. Mueller S. Yellapantula 40 5 0 28 Dec 2021
Out-of-Distribution Detection for Medical Applications: Guidelines for Practical Evaluation Karina Zadorozhny P. Thoral Paul Elbers Giovanni Cina OODD OOD 27 12 0 30 Sep 2021
Tensor-Train Density Estimation Georgii Sergeevich Novikov Maxim Panov Ivan Oseledets 49 35 0 30 Jul 2021
Learning Task-Oriented Communication for Edge Inference: An Information Bottleneck Approach Jiawei Shao Yuyi Mao Jun Zhang 52 212 0 08 Feb 2021
Exchangeability, Conformal Prediction, and Rank Tests Arun K. Kuchibhotla 32 48 0 13 May 2020
Noise Estimation Using Density Estimation for Self-Supervised Multimodal Learning Elad Amrani Rami Ben-Ari Daniel Rotman A. Bronstein 17 121 0 06 Mar 2020
A numerically stable algorithm for integrating Bayesian models using Markov melding A. A. Manderson Robert J. B. Goudie 29 3 0 22 Jan 2020
FIS-GAN: GAN with Flow-based Importance Sampling Shiyu Yi Donglin Zhan Wenqing Zhang Zhengyang Geng Kang An Hao Wang GAN 27 3 0 06 Oct 2019