Ahmad Saeed Khan

Articles in journals

• Hu, X. , Zhang, B. , Al-Dossari, M. , El-Gawaad, N. S. A. , Rakhimzhanova, M. & Khan, A. S. (2026). Robust watermarking for diffusion models using error-correcting codes and post-quantum key encapsulation.  Frontiers in Physics, 13. [BibTeX]
• Khan, A. S. , Schaffernicht, E. & Stork, J. A. (2025). DFW: a novel weighting scheme for covariate balancing and treatment effect estimation.  Frontiers in Applied Mathematics and Statistics, 11. [BibTeX]

Articles, reviews/surveys

• Lahoud, A. A. , Khan, A. S. , Schaffernicht, E. , Trincavelli, M. & Stork, J. A. (2025). Predict-and-Optimize Techniques for Data-Driven Optimization Problems: A Review.  Neural Processing Letters, 57 (2). [BibTeX]

Conference papers

• Khan, A. S. , Schaffernicht, E. & Stork, J. A. (2026). Policy-Focused Evaluation of Individualized Vasopressor Effects with Robustness to Irrelevant Covariates in MIMIC-III ICU Data. In: Sergey Y. Yurish,  Artificial Intelligencein Medicine and Healthcare Proceedings of the 2nd International Conferenceon AI in Medicine and Healthcare (AiMH' 2026); 24-26 June 2026, Palma de Mallorca (Balearic Islands), Spain. Paper presented at 2nd International Conference on AI in Medicine and Healthcare (AiMH' 2026), Palma de Mallorca, Spain, June 24-2, 2026. (pp. 67-79). International Frequency Sensor Association (IFSA) Publishing. [BibTeX]
• Khan, A. S. , Schaffernicht, E. & Stork, J. A. (2026). Seeing Inside Deep Treatment Effect Models: A Representation-Level Evaluation. In: Maria De Marsico; Tin Kam Ho; Frederic Jurie; Cheng-Lin Liu; Daniel Lopresti; Ingela Nyström; Jean-Marc Ogier; Arun Ross; Liang Wang,  Pattern Recognition 28th International Conference, ICPR 2026, Lyon, France, August 17–22, 2026, Proceedings, Part V; Conference proceedings. Paper presented at 28th International Conference on Pattern Recognition (ICPR 2026), Lyon, France, August 17-22, 2026. (pp. 694-708). Springer. [BibTeX]
• Khan, A. S. , Schaffernicht, E. & Stork, J. A. (2025). Beyond Causal Accuracy: Evaluating Representation Quality in Deep Treatment Effect Estimation. Paper presented at EurIPS, Copenhagen, Denmark, December 2-7, 2025. [BibTeX]
• Khan, A. S. , Schaffernicht, E. & Stork, J. A. (2024). On the Effects of Irrelevant Variables in Treatment Effect Estimation with Deep Disentanglement. In: Ulle Endriss; Francisco S. Melo; Kerstin Bach; Alberto Bugarín-Diz; José M. Alonso-Moral; Senén Barro; Fredrik Heintz,  27th European Conference on Artificial Intelligence, 19–24 October 2024, Santiago de Compostela, Spain – Including 13th Conference on Prestigious Applications of Intelligent Systems (PAIS 2024). Paper presented at 27th European Conference on Artificial Intelligence (ECAI 2024), Santiago de Compostela, Spain, October 19-24, 2024. (pp. 2822-2829). Amsterdam: IOS Press. [BibTeX]