A Probabilistic Theory of Deep Learning

A Probabilistic Theory of Deep Learning

2 April 2015

Richard G. Baraniuk

Papers citing "A Probabilistic Theory of Deep Learning"

15 / 15 papers shown

Title
FedCLEAN: byzantine defense by CLustering Errors of Activation maps in Non-IID federated learning environments Mehdi Ben Ghali Reda Bellafqira Gouenou Coatrieux AAML FedML 50 0 0 21 Jan 2025
Probing the Latent Hierarchical Structure of Data via Diffusion Models Antonio Sclocchi Alessandro Favero Noam Itzhak Levi M. Wyart DiffM 40 3 0 17 Oct 2024
The Neural Race Reduction: Dynamics of Abstraction in Gated Networks Andrew M. Saxe Shagun Sodhani Sam Lewallen AI4CE 32 34 0 21 Jul 2022
Face representation by deep learning: a linear encoding in a parameter space? Qiulei Dong Qiulei Dong Zhanyi Hu CVBM 17 1 0 22 Oct 2019
DeepSigns: A Generic Watermarking Framework for IP Protection of Deep Learning Models B. Rouhani Huili Chen F. Koushanfar 43 48 0 02 Apr 2018
Semi-Supervised Learning via New Deep Network Inversion Randall Balestriero Vincent Roger H. Glotin Richard G. Baraniuk 24 3 0 12 Nov 2017
A Probabilistic Framework for Deep Learning Ankit B. Patel M. T. Nguyen Richard G. Baraniuk BDL 37 67 0 06 Dec 2016
Distributed Sequence Memory of Multidimensional Inputs in Recurrent Networks Adam S. Charles Dong Yin Christopher Rozell GNN 33 20 0 26 May 2016
Training Neural Networks Without Gradients: A Scalable ADMM Approach Gavin Taylor R. Burmeister Zheng Xu Bharat Singh Ankit B. Patel Tom Goldstein ODL 24 273 0 06 May 2016
A Simple Hierarchical Pooling Data Structure for Loop Closure Xiaohan Fei Konstantine Tsotsos Stefano Soatto 27 13 0 20 Nov 2015
On the energy landscape of deep networks Pratik Chaudhari Stefano Soatto ODL 43 27 0 20 Nov 2015
Why are deep nets reversible: A simple theory, with implications for training Sanjeev Arora Yingyu Liang Tengyu Ma 19 54 0 18 Nov 2015
On the interplay of network structure and gradient convergence in deep learning V. Ithapu Sathya Ravi Vikas Singh 23 3 0 17 Nov 2015
Provable approximation properties for deep neural networks Uri Shaham A. Cloninger Ronald R. Coifman 19 229 0 24 Sep 2015
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,640 0 03 Jul 2012