Mr Irtaza Khalid

Khalid, M. and Schockaert, S. 2025. Systematic relational reasoning with epistemic graph neural networks. Presented at: The Thirteenth International Conference on Learning Representation, Singapore, 24-28 April 2025The Thirteenth International Conference on Learning Representation.
Khalid, M., Nourollah, A. M. and Schockaert, S. 2025. Large language and reasoning models are shallow disjunctive reasoners. Presented at: The 63rd Annual Meeting of the Association for Computational Linguistics, Vienna, Austria, 27 July - 1 August 2025.

Khalid, I., Weidner, C. A., Jonckheere, E. A., Schirmer, S. G. and Langbein, F. C. 2023. Sample-efficient model-based reinforcement learning for quantum control. Physical Review Research 5(4), article number: 43002. (10.1103/PhysRevResearch.5.043002)
Khalid, I., Weidner, C. A., Jonckheere, E. A., Shermer, S. G. and Langbein, F. 2023. Statistically characterizing robustness and fidelity of quantum controls and quantum control algorithms. Physical Review A 107, article number: 32606. (10.1103/PhysRevA.107.032606)

Khalid, I., Weidner, C. A., Jonckheere, E. A., Schirmer, S. G. and Langbein, F. C. 2021. Reinforcement learning vs. gradient-based optimisation for robust energy landscape control of spin-1/2 quantum networks. Presented at: 60th IEEE Conference of Decision and Control (CDC 2021), Austin, TX, USA, 13-15 December 2021.

Khalid, M. and Schockaert, S. 2025. Systematic relational reasoning with epistemic graph neural networks. Presented at: The Thirteenth International Conference on Learning Representation, Singapore, 24-28 April 2025The Thirteenth International Conference on Learning Representation.
Khalid, M., Nourollah, A. M. and Schockaert, S. 2025. Large language and reasoning models are shallow disjunctive reasoners. Presented at: The 63rd Annual Meeting of the Association for Computational Linguistics, Vienna, Austria, 27 July - 1 August 2025.
Khalid, I., Weidner, C. A., Jonckheere, E. A., Schirmer, S. G. and Langbein, F. C. 2021. Reinforcement learning vs. gradient-based optimisation for robust energy landscape control of spin-1/2 quantum networks. Presented at: 60th IEEE Conference of Decision and Control (CDC 2021), Austin, TX, USA, 13-15 December 2021.

Khalid, I., Weidner, C. A., Jonckheere, E. A., Schirmer, S. G. and Langbein, F. C. 2023. Sample-efficient model-based reinforcement learning for quantum control. Physical Review Research 5(4), article number: 43002. (10.1103/PhysRevResearch.5.043002)
Khalid, I., Weidner, C. A., Jonckheere, E. A., Shermer, S. G. and Langbein, F. 2023. Statistically characterizing robustness and fidelity of quantum controls and quantum control algorithms. Physical Review A 107, article number: 32606. (10.1103/PhysRevA.107.032606)

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