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1907.07331
Cited By
Learnability for the Information Bottleneck
17 July 2019
Tailin Wu
Ian S. Fischer
Isaac L. Chuang
Max Tegmark
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Papers citing
"Learnability for the Information Bottleneck"
25 / 25 papers shown
Title
Geometry of Learning -- L2 Phase Transitions in Deep and Shallow Neural Networks
Ibrahim Talha Ersoy
Karoline Wiesner
83
0
0
10 May 2025
Pre-train and Fine-tune: Recommenders as Large Models
Zhenhao Jiang
Chong Chen
Hao Feng
Yu Yang
Jin Liu
Jie Zhang
Jia Jia
Ning Hu
90
0
0
24 Jan 2025
Flexible Variational Information Bottleneck: Achieving Diverse Compression with a Single Training
Sota Kudo
N. Ono
Shigehiko Kanaya
Ming Huang
46
1
0
02 Feb 2024
Information theory for data-driven model reduction in physics and biology
Matthew S. Schmitt
Maciej Koch-Janusz
Michel Fruchart
Daniel S. Seara
Michael Rust
Vincenzo Vitelli
85
5
0
11 Dec 2023
The Information Bottleneck's Ordinary Differential Equation: First-Order Root-Tracking for the IB
Shlomi Agmon
65
0
0
16 Jun 2023
Generalized Information Bottleneck for Gaussian Variables
Wave Ngampruetikorn
David J. Schwab
76
1
0
31 Mar 2023
Do Neural Networks Generalize from Self-Averaging Sub-classifiers in the Same Way As Adaptive Boosting?
Michael Sun
Peter Chatain
AI4CE
78
0
0
14 Feb 2023
Interpretability with full complexity by constraining feature information
Kieran A. Murphy
Danielle Bassett
FAtt
98
5
0
30 Nov 2022
Transfer Entropy Bottleneck: Learning Sequence to Sequence Information Transfer
Damjan Kalajdzievski
Ximeng Mao
Pascal Fortier-Poisson
Guillaume Lajoie
Blake A. Richards
AI4TS
40
4
0
29 Nov 2022
Bottlenecks CLUB: Unifying Information-Theoretic Trade-offs Among Complexity, Leakage, and Utility
Behrooz Razeghi
Flavio du Pin Calmon
Deniz Gunduz
Svyatoslav Voloshynovskiy
58
16
0
11 Jul 2022
Pareto-optimal clustering with the primal deterministic information bottleneck
Andrew K. Tan
Max Tegmark
I. Chuang
28
3
0
05 Apr 2022
Adaptive Information Bottleneck Guided Joint Source and Channel Coding for Image Transmission
Lunan Sun
Yang Yang
Mingzhe Chen
Caili Guo
Walid Saad
H. Vincent Poor
45
26
0
12 Mar 2022
Lossy Compression for Lossless Prediction
Yann Dubois
Benjamin Bloem-Reddy
Karen Ullrich
Chris J. Maddison
145
62
0
21 Jun 2021
Perturbation Theory for the Information Bottleneck
Wave Ngampruetikorn
D. Schwab
63
12
0
28 May 2021
Adversarial Information Bottleneck
Penglong Zhai
Shihua Zhang
AAML
49
8
0
28 Feb 2021
A Provably Convergent Information Bottleneck Solution via ADMM
Tengfei Huang
Aly El Gamal
60
6
0
09 Feb 2021
DICE: Diversity in Deep Ensembles via Conditional Redundancy Adversarial Estimation
Alexandre Ramé
Matthieu Cord
FedML
85
52
0
14 Jan 2021
Bottleneck Problems: Information and Estimation-Theoretic View
S. Asoodeh
Flavio du Pin Calmon
37
18
0
12 Nov 2020
CEB Improves Model Robustness
Ian S. Fischer
Alexander A. Alemi
AAML
137
30
0
13 Feb 2020
The Conditional Entropy Bottleneck
Ian S. Fischer
OOD
117
122
0
13 Feb 2020
Intelligence, physics and information -- the tradeoff between accuracy and simplicity in machine learning
Tailin Wu
121
1
0
11 Jan 2020
Phase Transitions for the Information Bottleneck in Representation Learning
Tailin Wu
Ian S. Fischer
DRL
82
29
0
07 Jan 2020
The Convex Information Bottleneck Lagrangian
Borja Rodríguez Gálvez
Ragnar Thobaben
Mikael Skoglund
46
29
0
25 Nov 2019
Do Compressed Representations Generalize Better?
Hassan Hafez-Kolahi
S. Kasaei
Mahdiyeh Soleymani-Baghshah
51
1
0
20 Sep 2019
Pareto-optimal data compression for binary classification tasks
Max Tegmark
Tailin Wu
37
16
0
23 Aug 2019
1