IJCAI 2024poster0 citations
Deep Learning with Requirements in the Real World
Abstract
Deep learning models have repeatedly shown their strengths in various application domains. However, their predictions often struggle to meet background knowledge requirements, which is a crucial condition for safety-critical systems. My research focuses on integrating requirements into neural networks to guide the learning process and ultimately produce outputs that ensure the requirements' satisfaction. Here, I will discuss my proposed methods in the context of two real-world applications: tabular data generation and autonomous driving.
DC: Machine LearningDC: Multidisciplinary Topics and Applications
BibTeX
@inproceedings{ijcai2024p969,
title = {Deep Learning with Requirements in the Real World},
author = {Stoian, Mihaela C.},
booktitle = {Proceedings of the Thirty-Third International Joint Conference on
Artificial Intelligence, {IJCAI-24}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Kate Larson},
pages = {8508--8509},
year = {2024},
month = {8},
note = {Doctoral Consortium},
doi = {10.24963/ijcai.2024/969},
url = {https://doi.org/10.24963/ijcai.2024/969},
}