Optimization and Control · Mathematics
Cloud-based computational model predictive control using a parallel multi-block ADMM approach
Yaling Ma, Runze Gao, Li Dai, Jinxian Wu +1
2022-04-19
Information Theory · Computer Science
Adaptive Demodulation in Differentially Coherent Phase Systems: Design and Performance Analysis
J. David Brown, Jamshid Abouei, Konstantinos N. Plataniotis, Subbarayan Pasupathy
2016-11-17
Quantum Physics · Physics
Quantum vs. classical: A comprehensive benchmark study for predicting time series with variational quantum machine learning
Tobias Fellner, David Kreplin, Samuel Tovey, Christian Holm
2026-01-22
Optimization and Control · Mathematics
Toward Model Parallelism for Deep Neural Network based on Gradient-free ADMM Framework
Junxiang Wang, Zheng Chai, Yue Cheng, Liang Zhao
2021-06-24
Signal Processing · Electrical Eng. & Systems
Blind and Channel-agnostic Equalization Using Adversarial Networks
Vincent Lauinger, Manuel Hoffmann, Jonas Ney, Norbert Wehn +1
2022-09-16
Machine Learning · Computer Science
High-Dimensional Dependency Structure Learning for Physical Processes
Jamal Golmohammadi, Imme Ebert-Uphoff, Sijie He, Yi Deng +1
2017-09-13
Machine Learning · Computer Science
Adaptive Neural Networks for Efficient Inference
Tolga Bolukbasi, Joseph Wang, Ofer Dekel, Venkatesh Saligrama
2017-09-20
Quantum Physics · Physics
Parallelization of Adaptive Quantum Channel Discrimination in the Non-Asymptotic Regime
Bjarne Bergh, Nilanjana Datta, Robert Salzmann, Mark M. Wilde
2024-03-28
Optimization and Control · Mathematics
A Learning-Based Inexact ADMM for Solving Quadratic Programs
Xi Gao, Jinxin Xiong, Linxin Yang, Akang Wang +2
2025-05-15
Systems and Control · Electrical Eng. & Systems
Deep Learning Alternative to Explicit Model Predictive Control for Unknown Nonlinear Systems
Jan Drgona, Karol Kis, Aaron Tuor, Draguna Vrabie +1
2021-07-27
Systems and Control · Computer Science
Convergence Analysis and Design of Multi-block ADMM via Switched Control Theory
Jun Li, Hongfu Liu, Yue Wu, Yun Fu
2018-03-06
Machine Learning · Computer Science
Scalable Nonlinear Learning with Adaptive Polynomial Expansions
Alekh Agarwal, Alina Beygelzimer, Daniel Hsu, John Langford +1
2014-10-03