Connectivity-Based Machine Learning Compact Models for Interconnect Parasitic Capacitances

Author(s):  
Mohamed Saleh Abouelyazid ◽  
Sherif Hammouda ◽  
Yehea Ismail
2021 ◽  
Author(s):  
Gazmend Alia ◽  
Andi Buzo ◽  
Hannes Maier-Flaig ◽  
Klaus-Willi Pieper ◽  
Linus Maurer ◽  
...  

Author(s):  
Moongyu Jeong ◽  
Marco Guajardo ◽  
Cheng-En Wu ◽  
Song-haeng Lee ◽  
Tim Fuehner ◽  
...  

2022 ◽  
Vol 305 ◽  
pp. 117846
Author(s):  
Yaman M. Manaserh ◽  
Mohammad I. Tradat ◽  
Dana Bani-Hani ◽  
Aseel Alfallah ◽  
Bahgat G. Sammakia ◽  
...  

2020 ◽  
Vol 43 ◽  
Author(s):  
Myrthe Faber

Abstract Gilead et al. state that abstraction supports mental travel, and that mental travel critically relies on abstraction. I propose an important addition to this theoretical framework, namely that mental travel might also support abstraction. Specifically, I argue that spontaneous mental travel (mind wandering), much like data augmentation in machine learning, provides variability in mental content and context necessary for abstraction.


2020 ◽  
Author(s):  
Mohammed J. Zaki ◽  
Wagner Meira, Jr
Keyword(s):  

2020 ◽  
Author(s):  
Marc Peter Deisenroth ◽  
A. Aldo Faisal ◽  
Cheng Soon Ong
Keyword(s):  

Author(s):  
Lorenza Saitta ◽  
Attilio Giordana ◽  
Antoine Cornuejols

Author(s):  
Shai Shalev-Shwartz ◽  
Shai Ben-David
Keyword(s):  

Sign in / Sign up

Export Citation Format

Share Document