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2002.00008
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On the Information Bottleneck Problems: Models, Connections, Applications and Information Theoretic Views
31 January 2020
Milad Sefidgaran
Iñaki Estella Aguerri
S. Shamai
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Papers citing
"On the Information Bottleneck Problems: Models, Connections, Applications and Information Theoretic Views"
16 / 16 papers shown
Title
Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior
Romain Chor
Abdellatif Zaidi
Piotr Krasnowski
54
1
0
25 Apr 2025
Elastic Information Bottleneck
Yuyan Ni
Yanyan Lan
Ao Liu
Zhiming Ma
54
2
0
07 Nov 2023
The Information Bottleneck's Ordinary Differential Equation: First-Order Root-Tracking for the IB
Shlomi Agmon
22
0
0
16 Jun 2023
Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communications
Deniz Gunduz
Zhijin Qin
Iñaki Estella Aguerri
Harpreet S. Dhillon
Zhaohui Yang
Aylin Yener
Kai‐Kit Wong
C. Chae
40
437
0
19 Jul 2022
Semantic Information Recovery in Wireless Networks
Edgar Beck
C. Bockelmann
Armin Dekorsy
35
22
0
28 Apr 2022
Studying the Interplay between Information Loss and Operation Loss in Representations for Classification
Jorge F. Silva
Felipe A. Tobar
Mario L. Vicuna
Felipe Cordova
21
2
0
30 Dec 2021
In-Network Learning: Distributed Training and Inference in Networks
Matei Moldoveanu
Milad Sefidgaran
32
11
0
07 Jul 2021
On In-network learning. A Comparative Study with Federated and Split Learning
Matei Moldoveanu
Milad Sefidgaran
FedML
29
7
0
30 Apr 2021
Scalable Vector Gaussian Information Bottleneck
Mohammad Mahdi Mahvari
M. Kobayashi
Milad Sefidgaran
24
2
0
15 Feb 2021
Information flows of diverse autoencoders
Sungyeop Lee
Junghyo Jo
32
11
0
15 Feb 2021
Learning Task-Oriented Communication for Edge Inference: An Information Bottleneck Approach
Jiawei Shao
Yuyi Mao
Jun Zhang
52
212
0
08 Feb 2021
On the Relevance-Complexity Region of Scalable Information Bottleneck
Mohammad Mahdi Mahvari
M. Kobayashi
Milad Sefidgaran
11
2
0
02 Nov 2020
Variational Information Bottleneck for Unsupervised Clustering: Deep Gaussian Mixture Embedding
Yiğit Uğur
George Arvanitakis
Milad Sefidgaran
BDL
DRL
16
22
0
28 May 2019
Understanding Autoencoders with Information Theoretic Concepts
Shujian Yu
José C. Príncipe
AI4CE
51
133
0
30 Mar 2018
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
353
3,121
0
04 Nov 2016
Privacy Against Statistical Inference
Flavio du Pin Calmon
N. Fawaz
FedML
100
345
0
08 Oct 2012
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