1 citations · 1 across the 2 of their papers we have counts for
5 papers
ROAD-Waymo: A Large-Scale Action Awareness Dataset for Autonomous Driving
Salman Khan, Izzeddin Teeti, Reza Javanmard Alitappeh +5
Autonomous Vehicle (AV) perception systems require more than simply seeing, via e.g., object detection or scene segmentation. They need a holistic understanding of what is happenin…
A Survey on Deep Learning Approaches for Tabular Data Generation: Utility, Alignment, Fidelity, Privacy, Diversity, and Beyond
Mihaela CÄtÄlina Stoian, Eleonora Giunchiglia, Thomas Lukasiewicz
Generative modelling has become the standard approach for synthesising tabular data. However, different use cases demand synthetic data to comply with different requirements to be…
Beyond the convexity assumption: Realistic tabular data generation under quantifier-free real linear constraints
Mihaela CÄtÄlina Stoian, Eleonora Giunchiglia
Synthetic tabular data generation has traditionally been a challenging problem due to the high complexity of the underlying distributions that characterise this type of data. Despi…
Deep generative models as an adversarial attack strategy for tabular machine learning
Salijona Dyrmishi, Mihaela CÄtÄlina Stoian, Eleonora Giunchiglia +1
Deep Generative Models (DGMs) have found application in computer vision for generating adversarial examples to test the robustness of machine learning (ML) systems. Extending these…
PiShield: A PyTorch Package for Learning with Requirements
Mihaela CÄtÄlina Stoian, Alex Tatomir, Thomas Lukasiewicz +1
Deep learning models have shown their strengths in various application domains, however, they often struggle to meet safety requirements for their outputs. In this paper, we introd…