Ahmad Saeed Khan
Ahmad Saeed Khan Befattning: Doktorand Organisation: Institutionen för naturvetenskap och teknikE-post: YWhtYWQtc2FlZWQua2hhbjtvcnUuc2U=
Telefon: 019 301226
Rum: T1209
Om Ahmad Saeed Khan
Ahmad is a PhD student at the school of science and technology and also part of CoAIRob school. He is associated with WASP, and his industrial partner is H&M. Ahmad is a member of the Adaptive and Interpretable Learning Systems (AILS) lab. His research project is about counterfactual reasoning. He is working on estimating Individual treatment effects by inferring counterfactual outcomes from observational data.
Forskargrupper
Publikationer
Artiklar, forskningsöversikter |
Konferensbidrag |
Artiklar, forskningsöversikter
- 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]
Konferensbidrag
- Khan, A. S. , Schaffernicht, E. & Stork, J. A. (2024). On the Effects of Irrelevant Variables in Treatment Effect Estimation with Deep Disentanglement. I: 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). Konferensbidrag vid 27th European Conference on Artificial Intelligence (ECAI 2024), Santiago de Compostela, Spain, October 19-24, 2024. (ss. 2822-2829). Amsterdam: IOS Press. [BibTeX]