3 papers
cs.LG2026
FairTabGen: High-Fidelity and Fair Synthetic Health Data Generation from Limited Samples
Nitish Nagesh, Salar Shakibhamedan, Mahdi Bagheri +4
Synthetic healthcare data generation offers a promising solution to research limitations in clinical settings caused by privacy and regulatory constraints. However, current synthet…
cs.ET2024
IMPLY-based Approximate Full Adders for Efficient Arithmetic Operations in Image Processing and Machine Learning
Melanie Qiu, Caoyueshan Fan, Gulafshan +3
To overcome the performance limitations in modern computing, such as the power wall, emerging computing paradigms are gaining increasing importance. Approximate computing offers a…
cs.ET2024
ATOMIC: Automatic Tool for Memristive IMPLY-based Circuit-level Simulation and Validation
Fabian Seiler, Nima TaheriNejad
Since performance improvements of computers are stagnating, new technologies and computer paradigms are hot research topics. Memristor-based In-Memory Computing is one of the promi…