Publications
You can find a more complete set of my papers on my Google Scholar profile.
Core Areas. Robust Machine/Deep Learning, Biological Imaging
Topics. Distribution Shift, Causality, AI Benchmarking, Algorithmic Fairness, Denoising fMRI
Applications Areas. Healthcare, AI Governance, Neuroscience
Selected
Adapting to Latent Subgroup Shifts via Concepts and Proxies [PDF] [Code]
Ibrahim Alabdulmohsin*, Nicole Chiou*, Alexander D'Amour*, Arthur Gretton*, Sanmi Koyejo*, Matt J. Kusner*, Stephen R. Pfohl*, Olawale Salaudeen*, Jessica Schrouff*, Katherine Tsai*
* denotes equal contribution
The International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Ibrahim Alabdulmohsin*, Nicole Chiou*, Alexander D'Amour*, Arthur Gretton*, Sanmi Koyejo*, Matt J. Kusner*, Stephen R. Pfohl*, Olawale Salaudeen*, Jessica Schrouff*, Katherine Tsai*
* denotes equal contribution
The International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Causally-Inspired Regularization Enables Domain General Representations [PDF] [Code]
Olawale Salaudeen, Oluwasanmi Koyejo
The International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Olawale Salaudeen, Oluwasanmi Koyejo
The International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
On Domain Generalization Datasets as Proxy Benchmarks for Causal Representation Learning (Oral Presentation) [PDF]
Olawale Salaudeen, Nicole Chiou, Sanmi Koyejo
Workshop on Causal Representation Learning, Conference on Neural Information Processing Systems (NeurIPS), 2024
Olawale Salaudeen, Nicole Chiou, Sanmi Koyejo
Workshop on Causal Representation Learning, Conference on Neural Information Processing Systems (NeurIPS), 2024
ImageNot: A contrast with ImageNet preserves model rankings [PDF] [Code]
Olawale Salaudeen, Moritz Hardt
arXiv
Olawale Salaudeen, Moritz Hardt
arXiv
All
On Domain Generalization Datasets as Proxy Benchmarks for Causal Representation Learning (Oral Presentation) [PDF]
Olawale Salaudeen, Nicole Chiou, Sanmi Koyejo
Workshop on Causal Representation Learning, Conference on Neural Information Processing Systems (NeurIPS), 2024
Olawale Salaudeen, Nicole Chiou, Sanmi Koyejo
Workshop on Causal Representation Learning, Conference on Neural Information Processing Systems (NeurIPS), 2024
fMRI Motion Denoising Reimagined: ICA-AROMA meets Causality
Olawale Salaudeen, Paul Camacho, Aron Barbey, Brad Sutton, Sanmi Koyejo
In Review
Olawale Salaudeen, Paul Camacho, Aron Barbey, Brad Sutton, Sanmi Koyejo
In Review
Proxy Methods for Domain Adaptation [PDF] [Code]
Katherine Tsai, Stephen R. Pfohl, Olawale Salaudeen, Nicole Chiou, Matt J. Kusner, Alexander D'Amour, Sanmi Koyejo, Arthur Gretton
The International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Katherine Tsai, Stephen R. Pfohl, Olawale Salaudeen, Nicole Chiou, Matt J. Kusner, Alexander D'Amour, Sanmi Koyejo, Arthur Gretton
The International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Causally-Inspired Regularization Enables Domain General Representations [PDF] [Code]
Olawale Salaudeen, Oluwasanmi Koyejo
The International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Olawale Salaudeen, Oluwasanmi Koyejo
The International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
ImageNot: A contrast with ImageNet preserves model rankings [PDF] [Code]
Olawale Salaudeen, Moritz Hardt
arXiv
Olawale Salaudeen, Moritz Hardt
arXiv
Adapting to Latent Subgroup Shifts via Concepts and Proxies [PDF] [Code]
Ibrahim Alabdulmohsin*, Nicole Chiou*, Alexander D'Amour*, Arthur Gretton*, Sanmi Koyejo*, Matt J. Kusner*, Stephen R. Pfohl*, Olawale Salaudeen*, Jessica Schrouff*, Katherine Tsai*
* denotes equal contribution
The International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Ibrahim Alabdulmohsin*, Nicole Chiou*, Alexander D'Amour*, Arthur Gretton*, Sanmi Koyejo*, Matt J. Kusner*, Stephen R. Pfohl*, Olawale Salaudeen*, Jessica Schrouff*, Katherine Tsai*
* denotes equal contribution
The International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Understanding subgroup performance differences of fair predictors using causal models [Link]
Stephen Robert Pfohl, Natalie Harris, Chirag Nagpal, David Madras, Vishwali Mhasawade, Olawale Elijah Salaudeen, Katherine A Heller, Sanmi Koyejo, Alexander Nicholas D'Amour
Workshop on Distribution Shifts (DistShift), Conference on Neural Information Processing Systems (NeurIPS), 2023.
Stephen Robert Pfohl, Natalie Harris, Chirag Nagpal, David Madras, Vishwali Mhasawade, Olawale Elijah Salaudeen, Katherine A Heller, Sanmi Koyejo, Alexander Nicholas D'Amour
Workshop on Distribution Shifts (DistShift), Conference on Neural Information Processing Systems (NeurIPS), 2023.
Adapting to Shifts in Latent Confounders using Observed Concepts and Proxies_ [PDF]
Matt J. Kusner, Ibrahim Alabdulmohsin, Stephen Pfohl, Olawale Salaudeen, Arthur Gretton, Sanmi Koyejo, Jessica Schrouff, Alexander D’Amour
Workshop on Principles of Distribution Shift (PODS), International Conference on Machine Learning (ICML), 2022.
Matt J. Kusner, Ibrahim Alabdulmohsin, Stephen Pfohl, Olawale Salaudeen, Arthur Gretton, Sanmi Koyejo, Jessica Schrouff, Alexander D’Amour
Workshop on Principles of Distribution Shift (PODS), International Conference on Machine Learning (ICML), 2022.
Addressing Observational Biases in Algorithmic Fairness Assessments [Poster]
Chirag Nagpal, Olawale Salaudeen, Sanmi Koyejo, Stephen Pfohl
Workshop on Algorithmic Fairness through the Lens of Causality and Privacy, Conference on Neural Information Processing Systems (NeurIPS), 2022 (extended abstract).
Chirag Nagpal, Olawale Salaudeen, Sanmi Koyejo, Stephen Pfohl
Workshop on Algorithmic Fairness through the Lens of Causality and Privacy, Conference on Neural Information Processing Systems (NeurIPS), 2022 (extended abstract).
Ultra-fast 3D fMRI to explore cardiac-induced fluctuations in BOLD-based functional imaging [PDF]
Brad Sutton, Aaron Anderson, Benjamin Zimmerman, Paul Camacho, Riwei Jin, Charles Marchini, Olawale Salaudeen, Natalie Ramsy, Davide Boido, Serge Charpak, Andrew Webb, Luisa Ciobanu
International Society for Magnetic Resonance in Medicine (ISMRM), 2022 (abstract)
Brad Sutton, Aaron Anderson, Benjamin Zimmerman, Paul Camacho, Riwei Jin, Charles Marchini, Olawale Salaudeen, Natalie Ramsy, Davide Boido, Serge Charpak, Andrew Webb, Luisa Ciobanu
International Society for Magnetic Resonance in Medicine (ISMRM), 2022 (abstract)
Exploiting Causal Chains for Domain Generalization [PDF]
Olawale Salaudeen, Oluwasanmi Koyejo
Workshop on Distribution Shifts (DistShift), Conference on Neural Information Processing Systems (NeurIPS), 2021.
Olawale Salaudeen, Oluwasanmi Koyejo
Workshop on Distribution Shifts (DistShift), Conference on Neural Information Processing Systems (NeurIPS), 2021.