Inaam Ashraf

According to our database, Inaam Ashraf authored at least 9 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

But Are These Images Conceptually Similar?

Isaac Roberts, Riza Velioglu, Inaam Ashraf, Luca Hermes, Barbara Hammer

Proceedings of the 34th European Symposium on Artificial Neural Networks, 2026

2025

Go with the Flow: Leveraging Physics-Informed Gradients to Solve Real-World Problems in Water Distribution Systems.

Inaam Ashraf, Janine Strotherm, Luca Hermes, Barbara Hammer

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track and Demo Track, 2025

Scalable and Robust Physics-Informed Graph Neural Networks for Water Distribution Systems.

Inaam Ashraf, André Artelt, Barbara Hammer

Proceedings of the International Joint Conference on Neural Networks, 2025

2024

Fairness-enhancing classification methods for non-binary sensitive features - <i>How to fairly detect leakages in water distribution systems</i>.

Janine Strotherm, Inaam Ashraf, Barbara Hammer

PeerJ Comput. Sci., 2024

Challenges, Methods, Data-A Survey of Machine Learning in Water Distribution Networks.

Valerie Vaquet, Fabian Hinder, André Artelt, Inaam Ashraf, Janine Strotherm, Jonas Vaquet, Johannes Brinkrolf, Barbara Hammer

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

Physics-Informed Graph Neural Networks for Water Distribution Systems.

Inaam Ashraf, Janine Strotherm, Luca Hermes, Barbara Hammer

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Spatial Graph Convolution Neural Networks for Water Distribution Systems.

Inaam Ashraf, Luca Hermes, André Artelt, Barbara Hammer

Proceedings of the Advances in Intelligent Data Analysis XXI, 2023

Detecting Backdoors in Collaboration Graphs of Software Repositories.

Tom Ganz, Inaam Ashraf, Martin Härterich, Konrad Rieck

Proceedings of the Thirteenth ACM Conference on Data and Application Security and Privacy, 2023

2022

Solving the Traveling Salesperson Problem with Precedence Constraints by Deep Reinforcement Learning.

Christian Löwens, Inaam Ashraf, Alexander Gembus, Genesis Cuizon, Jonas K. Falkner, Lars Schmidt-Thieme

Proceedings of the KI 2022: Advances in Artificial Intelligence, 2022