Sahel Iqbal
Hey there! I'm a second-year PhD student at Aalto University, Finland, supervised by Prof. Simo Särkkä. I'm broadly interested in probabilistic machine learning (ML) methods and adding inductive biases to ML models, and I enjoy developing and applying Bayesian inference techniques for applications in physical/dynamical systems. Specific research areas that I work on as part of my PhD include Bayesian experimental design and probabilistic solvers for differential equations.
For academic details, see my resume. For research-related queries, I can be contacted at sahel[dot]iqbal[at]aalto[dot]fi.
Website last updated on 11th October, 2024.
Featured Publications
- Sahel Iqbal, Hany Abdulsamad, Sara Pérez-Vieites, Simo Särkkä, Adrien Corenflos (2024). Recursive Nested Filtering for Efficient Amortized Bayesian Experimental Design. NeurIPS workshop on Bayesian Decision-making and Uncertainty. arXiv. Code.
- Sahel Iqbal, Hany Abdulsamad, Tripp Cator, Ulisses Braga-Neto, Simo Särkkä (2024). Parallel-in-Time Probabilistic Solutions for Time-Dependent Nonlinear Partial Differential Equations. IEEE MLSP. Code.
- Sahel Iqbal, Adrien Corenflos, Simo Särkkä, Hany Abdulsamad (2024). Nesting Particle Filters for Experimental Design in Dynamical Systems. ICML. Link. arXiv. Code.
- Sahel Iqbal, Subhankar Mishra (2023). Neural Networks at a Fraction with Pruned Quaternions. International Conference on Data Science & Management of Data. Link. arXiv. Code.