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Deep Variational Multivariate Information Bottleneck -- A Framework for Variational Losses

Deep Variational Multivariate Information Bottleneck -- A Framework for Variational Losses

5 October 2023
Eslam Abdelaleem
I. Nemenman
K. M. Martini
ArXivPDFHTML

Papers citing "Deep Variational Multivariate Information Bottleneck -- A Framework for Variational Losses"

4 / 4 papers shown
Title
Information theory for data-driven model reduction in physics and
  biology
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
18
4
0
11 Dec 2023
Simultaneous Dimensionality Reduction: A Data Efficient Approach for
  Multimodal Representations Learning
Simultaneous Dimensionality Reduction: A Data Efficient Approach for Multimodal Representations Learning
Eslam Abdelaleem
Ahmed Roman
K. M. Martini
I. Nemenman
16
1
0
05 Oct 2023
Data efficiency, dimensionality reduction, and the generalized symmetric
  information bottleneck
Data efficiency, dimensionality reduction, and the generalized symmetric information bottleneck
K. M. Martini
I. Nemenman
27
2
0
11 Sep 2023
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
294
6,927
0
20 Apr 2018
1