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On the Information Bottleneck Problems: Models, Connections,
  Applications and Information Theoretic Views

On the Information Bottleneck Problems: Models, Connections, Applications and Information Theoretic Views

31 January 2020
Milad Sefidgaran
Iñaki Estella Aguerri
S. Shamai
ArXivPDFHTML

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
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
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
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
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
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
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
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
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
Scalable Vector Gaussian Information Bottleneck
Mohammad Mahdi Mahvari
M. Kobayashi
Milad Sefidgaran
24
2
0
15 Feb 2021
Information flows of diverse autoencoders
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
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
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
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
Understanding Autoencoders with Information Theoretic Concepts
Shujian Yu
José C. Príncipe
AI4CE
51
133
0
30 Mar 2018
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
353
3,121
0
04 Nov 2016
Privacy Against Statistical Inference
Privacy Against Statistical Inference
Flavio du Pin Calmon
N. Fawaz
FedML
100
345
0
08 Oct 2012
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