Optimization under Uncertainty in the Era of Big Data and Deep Learning: When Machine Learning Meets Mathematical Programming

3 April 2019

Papers citing "Optimization under Uncertainty in the Era of Big Data and Deep Learning: When Machine Learning Meets Mathematical Programming"

7 / 7 papers shown

Title
Context-aware LLM-based Safe Control Against Latent Risks Quang Khanh Luu Xiyu Deng Anh Van Ho Yorie Nakahira 105 4 0 18 Mar 2024
Model-Free Renewable Scenario Generation Using Generative Adversarial Networks Yize Chen Yishen Wang D. Kirschen Baosen Zhang 54 412 0 30 Jul 2017
Data-Driven Stochastic Robust Optimization: A General Computational Framework and Algorithm for Optimization under Uncertainty in the Big Data Era C. Ning Fengqi You 32 115 0 28 Jul 2017
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network C. Ledig Lucas Theis Ferenc Huszár Jose Caballero Andrew Cunningham ... Andrew P. Aitken Alykhan Tejani J. Totz Zehan Wang Wenzhe Shi GAN 242 10,693 0 15 Sep 2016
Data-driven Distributionally Robust Optimization Using the Wasserstein Metric: Performance Guarantees and Tractable Reformulations Peyman Mohajerin Esfahani Daniel Kuhn 80 1,661 0 19 May 2015
Generative Adversarial Networks Ian Goodfellow Jean Pouget-Abadie M. Berk Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville Yoshua Bengio GAN 142 2,193 0 10 Jun 2014
Speech Recognition with Deep Recurrent Neural Networks Alex Graves Abdel-rahman Mohamed Geoffrey E. Hinton 226 8,517 0 22 Mar 2013