Publications
Conference Proceedings
- DISCO: Disentangled Communication Steering for Large Language Models
Max Torop, Aria Masoomi, Masih Eskandar, Jennifer Dy.
in Proceedings of Neural Information Processing Systems (NeurIPS), 2025
- OrdShap: Feature Position Importance for Sequential Black-Box Models
Davin Hill, Brian L. Hill, Aria Masoomi, Vijay S Nori, Robert E Tillman, Jennifer Dy.
in Proceedings of Neural Information Processing Systems (NeurIPS), 2025
- Analyzing Explainer Robustness via Probabilistic Lipschitzness of Prediction Functions
Zulqarnain Q. Khan, Davin Hill, Aria Masoomi, Jennifer Dy.
in Proceedings of Artificial Intelligence and Statistics (AISTATS), 2024
- Boundary-Aware Uncertainty for Feature Attribution Explainers
Davin Hill, Aria Masoomi, Max Torop, Sandesh Ghimire, Jennifer Dy.
in Proceedings of Artificial Intelligence and Statistics (AISTATS), 2024
- SmoothHess: ReLU Network Feature Interactions via Stein’s Lemma
Max Torop*, Aria Masoomi*, Davin Hill, Kivanc Kose, Stratis Ioannidis, Jennifer Dy.
in Proceedings of Neural Information Processing Systems (NeurIPS), 2023
- Inv-Senet: Invariant Self Expression Network for Clustering Under Biased Data
Ashutosh Singh, Ashish Singh, Aria Masoomi, Zhonghui Xu, Adel Boueiz, Sool Lee, Tingting Zhao, Russell Bowler, Michael Cho, Edwin K. Silverman, Craig Hersh, Jennifer Dy, Peter J. Castaldi.
in Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023
- Deep Layer-wise Networks Have Closed-Form Weights
Chieh Wu*, Aria Masoomi*, Arthur Gretton, Jennifer Dy.
in Proceedings of Artificial Intelligence and Statistics (AISTATS), 2022
- Explanations of black-box models based on directional feature interactions
Aria Masoomi, Davin Hill, Zhonghui Xu, Craig P Hersh, Edwin K Silverman, Peter J Castaldi, Stratis Ioannidis, Jennifer Dy.
in Proceedings of International Conference on Learning Representation (ICLR), 2022
Spotlight Paper - Reliable estimation of KL divergence using a discriminator in reproducing kernel Hilbert space
Sandesh Ghimire, Aria Masoomi, Jennifer Dy.
in Proceedings of Neural Information Processing Systems (NeurIPS), 2021
Spotlight Paper - Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness
Zifeng Wang*, Tong Jian*, Aria Masoomi, Stratis Ioannidis, Jennifer Dy.
in Proceedings of Neural Information Processing Systems (NeurIPS), 2021
- Instance-wise Feature Grouping
Aria Masoomi*, Chieh Wu*, Tingting Zhao, Zifeng Wang, Peter Castaldi, Jennifer Dy.
in Proceedings of Neural Information Processing Systems (NeurIPS), 2020
Journal Articles
- The Poisson degeneracy locus of a flag variety
Élie Casbi, Aria Masoomi, Milen Yakimov.
in Proceedings of Mathematische Zeitschrift, 2025
- Blood-based transcriptomic and proteomic biomarkers of emphysema
Rahul Suryadevara, Andrew Gregory, Robin Lu, Zhonghui Xu, Aria Masoomi, et al.
in Proceedings of American Journal of Respiratory and Critical Care Medicine, 2024
- M2M-InvNet: Human Motor Cortex Mapping From Multi-Muscle Response Using TMS and Generative 3D Convolutional Network
Md Navid Akbar, Mathew Yarossi, Sumientra Rampersad, Kyle Lockwood, Aria Masoomi, et al.
in Proceedings of IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2024
- Deep Bayesian Unsupervised Lifelong Learning
Tingting Zhao, Zifeng Wang, Aria Masoomi, Jennifer Dy.
in Proceedings of Neural Networks, 2022
- Improved prediction of smoking status via isoform-aware RNA-seq deep learning models
Zifeng Wang, Aria Masoomi, et al.
in Proceedings of PLOS Computational Biology, 2021
- Blood transcriptomics-based machine learning prediction of emphysema in smokers
Rahul Suryadevara, Andrew Gregory, Aria Masoomi, et al.
in Proceedings of CHEST Journal, 2021
- Deep learning prediction of COPD progression using enriched densitometry phenotypes
AR El Boueiz, JG Dy, JC Ross, Aria Masoomi, et al.
in Proceedings of B101. Advances in COPD Pathogenesis, 2019
- Deep learning methods for predicting disease status using genomic data
Qianfan Wu, Adel Boueiz, Alican Bozkurt, Aria Masoomi, et al.
in Proceedings of Journal of biometrics & biostatistics, 2018
Theses
