A new method enhances the calculation of ROA in nonlinear systems with control inputs.
Vít Cibulka, Milan Korda, Tomáš Haniš
― 5 min read
Cutting edge science explained simply
A new method enhances the calculation of ROA in nonlinear systems with control inputs.
Vít Cibulka, Milan Korda, Tomáš Haniš
― 5 min read
A new method improving optimization with inexact gradients.
Juan Zhou, Kangkang Deng, Hongxia Wang
― 5 min read
New techniques enhance efficiency in quantum computing algorithms for chemical simulations.
Hiroyoshi Kurogi, Katsuhiro Endo, Yuki Sato
― 6 min read
Dynamic learning rates and super level sets enhance stability in neural network training.
Jatin Chaudhary, Dipak Nidhi, Jukka Heikkonen
― 5 min read
Introducing a faster approach to solve distributed optimization problems using control theory.
Yeming Xu, Ziyuan Guo, Kaihong Lu
― 4 min read
A look into Stochastic Gradient Descent and its role in optimization.
David Shirokoff, Philip Zaleski
― 5 min read
GameOpt innovates protein design through efficient optimization techniques.
Melis Ilayda Bal, Pier Giuseppe Sessa, Mojmir Mutny
― 6 min read
Investigating local updates for better communication in adaptive optimization methods.
Ziheng Cheng, Margalit Glasgow
― 7 min read
A-FedPD aligns model updates to reduce training instability in federated learning.
Yan Sun, Li Shen, Dacheng Tao
― 5 min read
New techniques improve efficiency in finding multiple solutions for nonlinear least squares problems.
Alban Bloor Riley, Marcus Webb, Michael L Baker
― 5 min read
Exploring the potential of diabatic quantum annealing in solving complex problems.
Ju-Yeon Gyhm, Gilhan Kim, Hyukjoon Kwon
― 5 min read
Recent developments in quantum algorithms and hardware show great potential for efficiency.
Xiao-Wen Shang, Xuan Chen, Narendra N. Hegade
― 6 min read
Introducing MG-Net, a framework to improve quantum optimization techniques through deep learning.
Yang Qian, Xinbiao Wang, Yuxuan Du
― 7 min read
Researchers explore new methods to improve reinforcement learning performance.
Charlie B. Tan, Edan Toledo, Benjamin Ellis
― 6 min read
A simple take on planning experiments for reliable results.
Aditya Pillai, Gabriel Ponte, Marcia Fampa
― 6 min read
Improving machine learning methods to estimate free energy efficiently.
Jing Liu, Ying Tang, Pan Zhang
― 5 min read
A method to optimize decisions while ensuring safety in changing environments.
Jialin Li, Marta Zagorowska, Giulia De Pasquale
― 6 min read
New model simplifies the creation of directed acyclic graphs.
Mufei Li, Viraj Shitole, Eli Chien
― 5 min read
R2N offers a flexible method for tackling complex optimization problems efficiently.
Youssef Diouane, Mohamed Laghdaf Habiboullah, Dominique Orban
― 5 min read
New methods enhance distributed optimization while preserving agent data privacy.
Mayank Baranwal, Kushal Chakrabarti
― 5 min read
Introducing a method for finding weakly minimal solutions in set optimization.
Debdas Ghosh, Anshika, Qamrul Hasan Ansari
― 3 min read
A novel approach to improve efficiency in extreme multi-label classification.
Nasib Ullah, Erik Schultheis, Mike Lasby
― 8 min read
A look into techniques for efficient quadratic optimization problem solving.
Markus Gabl, Immanuel Bomze
― 5 min read
A look into iterative belief propagation and its performance in optimization problems.
Sam Reifenstein, Timothée Leleu
― 6 min read
Learn how neighborhood search can improve solutions efficiently.
Mark G. Wallace
― 6 min read
Researchers improve seismometer placement methods to better detect gravitational waves.
Patrick Schillings, Johannes Erdmann
― 7 min read
An overview of Matrix Factorization and its significance in data analysis.
Zheng Zhai, Xiaohui Li
― 4 min read
Combining fast and slow techniques for better quantum circuit performance.
Amanda Xu, Abtin Molavi, Swamit Tannu
― 6 min read
Discover how metaheuristics are transforming aerospace problem-solving and design.
Carlos Alberto da Silva Junior, Marconi de Arruda Pereira, Angelo Passaro
― 5 min read
A clear guide to tackling tricky optimization problems and their solutions.
Johannes O. Royset
― 6 min read
Explore the loss landscape and the role of regularization in neural networks.
Sungyoon Kim, Aaron Mishkin, Mert Pilanci
― 4 min read
A look at how Graph Neural Networks tackle complex problems in optimization.
Chenchuhui Hu
― 10 min read
This article discusses the role of surrogate losses in solving complex machine learning problems.
Ryan D'Orazio, Danilo Vucetic, Zichu Liu
― 5 min read
Discover how the Gauss-Newton matrix enhances neural network training efficiency.
Jim Zhao, Sidak Pal Singh, Aurelien Lucchi
― 7 min read
NSGA-II struggles with multiple objectives, affecting optimization performance.
Benjamin Doerr, Dimitri Korkotashvili, Martin S. Krejca
― 5 min read
Learn how quantum computing tackles the weighted k problem using innovative techniques.
Franz G. Fuchs, Ruben P. Bassa, Frida Lien
― 6 min read
Discover how schedule-free optimization transforms machine learning efficiency.
Kwangjun Ahn, Gagik Magakyan, Ashok Cutkosky
― 6 min read
A method for agents to achieve goals despite different timing.
Gabriel Behrendt, Zachary I. Bell, Matthew Hale
― 5 min read
Learn how to speed up skyline queries for improved choices.
Paolo Ciaccia, Davide Martinenghi
― 5 min read
Discover how fractional gradient descent improves problem-solving in math and computer science.
Teodor Alexandru Szente, James Harrison, Mihai Zanfir
― 6 min read