Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1709.06212
Cited By
Estimating Mutual Information for Discrete-Continuous Mixtures
19 September 2017
Weihao Gao
Sreeram Kannan
Sewoong Oh
Pramod Viswanath
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Estimating Mutual Information for Discrete-Continuous Mixtures"
20 / 20 papers shown
Title
Quantifying the redundancy between prosody and text
Lukas Wolf
Tiago Pimentel
Evelina Fedorenko
Ryan Cotterell
Alex Warstadt
Ethan Gotlieb Wilcox
Tamar I. Regev
33
10
0
28 Nov 2023
MITFAS: Mutual Information based Temporal Feature Alignment and Sampling for Aerial Video Action Recognition
Ruiqi Xian
Xijun Wang
Tianyi Zhou
27
10
0
05 Mar 2023
Greedy Modality Selection via Approximate Submodular Maximization
Runxiang Cheng
Gargi Balasubramaniam
Yifei He
Yao-Hung Hubert Tsai
Han Zhao
21
1
0
22 Oct 2022
ARLO: A Framework for Automated Reinforcement Learning
Marco Mussi
Davide Lombarda
Alberto Maria Metelli
F. Trovò
Marcello Restelli
OffRL
39
4
0
20 May 2022
Fast Rate Generalization Error Bounds: Variations on a Theme
Xuetong Wu
J. Manton
U. Aickelin
Jingge Zhu
30
7
0
06 May 2022
DeepSE-WF: Unified Security Estimation for Website Fingerprinting Defenses
Alexander Veicht
Cédric Renggli
Diogo Barradas
AAML
30
8
0
08 Mar 2022
Are Gender-Neutral Queries Really Gender-Neutral? Mitigating Gender Bias in Image Search
Jialu Wang
Yang Liu
Qing Guo
FaML
157
94
0
12 Sep 2021
A Maximum Entropy Copula Model for Mixed Data: Representation, Estimation, and Applications
S. Mukhopadhyay
Mukhopadhyay
11
1
0
21 Aug 2021
Towards quantifying information flows: relative entropy in deep neural networks and the renormalization group
J. Erdmenger
Kevin T. Grosvenor
R. Jefferson
54
17
0
14 Jul 2021
A Rigorous Information-Theoretic Definition of Redundancy and Relevancy in Feature Selection Based on (Partial) Information Decomposition
Patricia Wollstadt
Sebastian Schmitt
Michael Wibral
26
28
0
10 May 2021
On the Maximum Mutual Information Capacity of Neural Architectures
Brandon Foggo
Nan Yu
TPM
23
3
0
10 Jun 2020
Feature Selection via Mutual Information: New Theoretical Insights
Mario Beraha
Alberto Maria Metelli
Matteo Papini
Andrea Tirinzoni
Marcello Restelli
13
66
0
17 Jul 2019
Twin Auxiliary Classifiers GAN
Biwei Huang
Yanwu Xu
Chunyuan Li
Kuncai Zhang
Kayhan Batmanghelich
16
33
0
05 Jul 2019
On Network Science and Mutual Information for Explaining Deep Neural Networks
Brian Davis
Umang Bhatt
Kartikeya Bhardwaj
R. Marculescu
J. M. F. Moura
FedML
SSL
FAtt
18
10
0
20 Jan 2019
On mutual information estimation for mixed-pair random variables
A. Beknazaryan
Xin Dang
Hailin Sang
20
13
0
27 Dec 2018
Mimic and Classify : A meta-algorithm for Conditional Independence Testing
Rajat Sen
Karthikeyan Shanmugam
Himanshu Asnani
Arman Rahimzamani
Sreeram Kannan
CML
VLM
21
16
0
25 Jun 2018
Discrete-Continuous Mixtures in Probabilistic Programming: Generalized Semantics and Inference Algorithms
Yi Wu
Siddharth Srivastava
N. Hay
S. Du
Stuart J. Russell
31
25
0
06 Jun 2018
Statistical Estimation of Conditional Shannon Entropy
A. Bulinski
A. Kozhevin
13
12
0
23 Apr 2018
Fixing a Broken ELBO
Alexander A. Alemi
Ben Poole
Ian S. Fischer
Joshua V. Dillon
Rif A. Saurous
Kevin Patrick Murphy
DRL
BDL
39
80
0
01 Nov 2017
Potential Conditional Mutual Information: Estimators, Properties and Applications
Arman Rahimzamani
Sreeram Kannan
19
10
0
13 Oct 2017
1