Distributed Variational Representation Learning

11 July 2018

Papers citing "Distributed Variational Representation Learning"

20 / 20 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 49 0 0 25 Apr 2025
Generalization Guarantees for Representation Learning via Data-Dependent Gaussian Mixture Priors Romain Chor Milad Sefidgaran Piotr Krasnowski 91 1 0 21 Feb 2025
Tackling Distribution Shifts in Task-Oriented Communication with Information Bottleneck Hongru Li Jiawei Shao Hengtao He Shenghui Song Jun Zhang Khaled B. Letaief OOD 32 5 0 15 May 2024
Machine-learning optimized measurements of chaotic dynamical systems via the information bottleneck Kieran A. Murphy Danielle Bassett 36 5 0 08 Nov 2023
Elastic Information Bottleneck Yuyan Ni Yanyan Lan Ao Liu Zhiming Ma 22 2 0 07 Nov 2023
Semantics-Empowered Communication: A Tutorial-cum-Survey Zhilin Lu Rongpeng Li Kun Lu Xianfu Chen Ekram Hossain Zhifeng Zhao Honggang Zhang 39 19 0 16 Dec 2022
Interpretability with full complexity by constraining feature information Kieran A. Murphy Danielle Bassett FAtt 35 5 0 30 Nov 2022
Characterizing information loss in a chaotic double pendulum with the Information Bottleneck Kieran A. Murphy Danielle Bassett 8 0 0 25 Oct 2022
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 27 433 0 19 Jul 2022
Semantic Information Recovery in Wireless Networks Edgar Beck C. Bockelmann Armin Dekorsy 26 22 0 28 Apr 2022
Multi-view Information Bottleneck Without Variational Approximation Qi Zhang Shujian Yu J. Xin Badong Chen 20 10 0 22 Apr 2022
Computationally Efficient Approximations for Matrix-based Renyi's Entropy Tieliang Gong Yuxin Dong Shujian Yu B. Dong 67 2 0 27 Dec 2021
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications Khaled B. Letaief Yuanming Shi Jianmin Lu Jianhua Lu 43 417 0 24 Nov 2021
Task-Oriented Communication for Multi-Device Cooperative Edge Inference Jiawei Shao Yuyi Mao Jun Zhang 22 128 0 01 Sep 2021
In-Network Learning: Distributed Training and Inference in Networks Matei Moldoveanu Milad Sefidgaran 27 11 0 07 Jul 2021
On In-network learning. A Comparative Study with Federated and Split Learning Matei Moldoveanu Milad Sefidgaran FedML 24 7 0 30 Apr 2021
Scalable Vector Gaussian Information Bottleneck Mohammad Mahdi Mahvari M. Kobayashi Milad Sefidgaran 12 2 0 15 Feb 2021
Information flows of diverse autoencoders Sungyeop Lee Junghyo Jo 16 11 0 15 Feb 2021
A Survey on Concept Factorization: From Shallow to Deep Representation Learning Zhao Zhang Yan Zhang Mingliang Xu Li Zhang Yi Yang Shuicheng Yan 24 30 0 31 Jul 2020
Understanding Autoencoders with Information Theoretic Concepts Shujian Yu José C. Príncipe AI4CE 49 132 0 30 Mar 2018