Sari Sadiya

According to our database, Sari Sadiya authored at least 8 papers between 2021 and 2026.

Collaborative distances:

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

2026

Shortcut Mitigation via Spurious-Positive Samples.

Phuong Quynh Le, Jörg Schlötterer, Sari Sadiya, Gemma Roig, Christin Seifert

CoRR, May, 2026

Weakly Supervised Shortcut Learning Mitigation Using Sparse Autoencoders.

Sari Sadiya, Muhammad Ahsan, Despina Tawadros, Phuong Quynh Le, Jörg Schlötterer, Christin Seifert, Gemma Roig

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

Predictive Coding inspired convolutional networks can capture the neural dynamics of recurrent processing in human image recognition.

Manshan Guo, Bhavin Choksi, Sari Sadiya, Pablo Oyarzo, Radoslaw Martin Cichy, Gemma Roig

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

2025

Efficient Unsupervised Shortcut Learning Detection and Mitigation in Transformers.

Lukas Kuhn, Sari Sadiya, Jörg Schlötterer, Christin Seifert, Gemma Roig

CoRR, January, 2025

Efficient Unsupervised Shortcut Learning Detection and Mitigation in Transformers.

Lukas Kuhn, Sari Sadiya, Jörg Schlötterer, Florian Buettner, Christin Seifert, Gemma Roig

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Predictive Coding Dynamics Enhance Model-Brain Similarity.

Manshan Guo, Michael Samjatin, Bhavin Choksi, Sari Sadiya, Radoslaw Martin Cichy, Gemma Roig

Proceedings of the 33rd European Symposium on Artificial Neural Networks, 2025

2024

Limited but Consistent Gains in Adversarial Robustness by Co-training Object Recognition Models with Human EEG.

Manshan Guo, Bhavin Choksi, Sari Sadiya, Alessandro T. Gifford, Martina G. Vilas, Radoslaw Martin Cichy, Gemma Roig

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

2021

Artifact Detection and Correction in EEG data: A Review.

Sari Sadiya, Tuka Alhanai, Mohammad M. Ghassemi

Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021