Learning Restricted Boltzmann Machines via Influence Maximization

25 May 2018

Papers citing "Learning Restricted Boltzmann Machines via Influence Maximization"

8 / 8 papers shown

Title
Provable learning of quantum states with graphical models Liming Zhao Naixu Guo Maohui Luo Patrick Rebentrost 34 3 0 17 Sep 2023
Learning and Testing Latent-Tree Ising Models Efficiently Davin Choo Y. Dagan C. Daskalakis Anthimos Vardis Kandiros 22 8 0 23 Nov 2022
Pattern reconstruction with restricted Boltzmann machines G. Genovese 24 0 0 14 May 2022
Learning latent causal graphs via mixture oracles Bohdan Kivva Goutham Rajendran Pradeep Ravikumar Bryon Aragam CML 25 47 0 29 Jun 2021
From Boltzmann Machines to Neural Networks and Back Again Surbhi Goel Adam R. Klivans Frederic Koehler 19 5 0 25 Jul 2020
Learning Restricted Boltzmann Machines with Sparse Latent Variables Guy Bresler Rares-Darius Buhai 18 2 0 07 Jun 2020
Logistic-Regression with peer-group effects via inference in higher order Ising models C. Daskalakis Nishanth Dikkala Ioannis Panageas 29 11 0 18 Mar 2020
Benefits of depth in neural networks Matus Telgarsky 153 603 0 14 Feb 2016