Application of an optimal stochastic Newton-Raphson technique to triangulation-based localization systems. - Khaled Kamal Saab Jr.; Samer Said Saab Jr. (PLANS, 2016)

A Stochastic Newton-Raphson Method with Noisy Function Measurements. - Khaled Kamal Saab; Samer Said Saab Jr. (IEEE Signal Process. Lett., 2016)

Protecting Bare-Metal Embedded Systems with Privilege Overlays. - Abraham A. Clements; Naif Saleh Almakhdhub; Khaled Saab 002; Prashast Srivastava; Jinkyu Koo; Saurabh Bagchi; Mathias Payer (IEEE Symposium on Security and Privacy, 2017)

Shuffled Linear Regression with Erroneous Observations. - Samer S. Saab 001; Khaled Kamal Saab; Samer S. Saab 002 (CISS, 2019)

Doubly Weak Supervision of Deep Learning Models for Head CT. - Khaled Saab 002; Jared Dunnmon; Roger E. Goldman; Alexander Ratner; Hersh Sagreiya; Christopher Ré; Daniel L. Rubin (MICCAI (3), 2019)

Let's Hope it Works! Inaccurate Supervision of Neural Networks with Incorrect Labels: Application to Epilepsy. - Florian Dubost; Erin Hong; Daniel Y. Fu; Nandita Bhaskhar; Siyi Tang; Khaled Saab 002; Daniel L. Rubin; Jared Dunnmon; Christopher Lee-Messer (CoRR, 2020)

Weak supervision as an efficient approach for automated seizure detection in electroencephalography. - Khaled Saab 002; Jared Dunnmon; Christopher Ré; Daniel L. Rubin; Christopher Lee-Messer (npj Digit. Medicine, 2020)

Cross-Modal Data Programming Enables Rapid Medical Machine Learning. - Jared A. Dunnmon; Alexander J. Ratner; Khaled Saab 002; Nishith Khandwala; Matthew Markert; Hersh Sagreiya; Roger E. Goldman; Christopher Lee-Messer; Matthew P. Lungren; Daniel L. Rubin; Christopher Ré (Patterns, 2020)

Observational Supervision for Medical Image Classification Using Gaze Data. - Khaled Saab 002; Sarah M. Hooper; Nimit Sharad Sohoni; Jupinder Parmar; Brian Pogatchnik; Sen Wu 002; Jared A. Dunnmon; Hongyang R. Zhang; Daniel L. Rubin; Christopher Ré (MICCAI (2), 2021)

Combining Recurrent, Convolutional, and Continuous-time Models with Linear State Space Layers. - Albert Gu; Isys Johnson; Karan Goel; Khaled Saab 002; Tri Dao; Atri Rudra; Christopher Ré (NeurIPS, 2021)

Automated Seizure Detection and Seizure Type Classification From Electroencephalography With a Graph Neural Network and Self-Supervised Pre-Training. - Siyi Tang; Jared A. Dunnmon; Khaled Saab 002; Xuan Zhang; Qianying Huang; Florian Dubost; Daniel L. Rubin; Christopher Lee-Messer (CoRR, 2021)

Double Descent Optimization Pattern and Aliasing: Caveats of Noisy Labels. - Florian Dubost; Khaled Kamal Saab; Erin Hong; Daniel Yang Fu; Max Pike; Siddharth Sharma; Siyi Tang; Nandita Bhaskhar; Christopher Lee-Messer; Daniel L. Rubin (CoRR, 2021)

Setting the boundaries of COVID-19 lockdown relaxation measures. - Samer Saab 001; Mohammad Al-Abbas; Rola Najib Samaha; Rayana H. Jaafar; Khaled Kamal Saab; Samer S. Saab 001 (Libr. Hi Tech, 2021)

ViLMedic: a framework for research at the intersection of vision and language in medical AI. - Jean-Benoit Delbrouck; Khaled Saab 002; Maya Varma; Sabri Eyuboglu; Pierre J. Chambon; Jared Dunnmon; Juan Zambrano; Akshay Chaudhari; Curtis P. Langlotz (ACL (demo), 2022)

Domino: Discovering Systematic Errors with Cross-Modal Embeddings. - Sabri Eyuboglu; Maya Varma; Khaled Kamal Saab; Jean-Benoit Delbrouck; Christopher Lee-Messer; Jared Dunnmon; James Zou 001; Christopher Ré (ICLR, 2022)

Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure Analysis. - Siyi Tang; Jared Dunnmon; Khaled Kamal Saab; Xuan Zhang; Qianying Huang; Florian Dubost; Daniel L. Rubin; Christopher Lee-Messer (ICLR, 2022)

Reducing Reliance on Spurious Features in Medical Image Classification with Spatial Specificity. - Khaled Saab 002; Sarah M. Hooper; Mayee F. Chen; Michael Zhang; Daniel L. Rubin; Christopher Ré (MLHC, 2022)

The Importance of Background Information for Out of Distribution Generalization. - Jupinder Parmar; Khaled Saab 002; Brian Pogatchnik; Daniel L. Rubin; Christopher Ré (CoRR, 2022)

Spatiotemporal Modeling of Multivariate Signals With Graph Neural Networks and Structured State Space Models. - Siyi Tang; Jared A. Dunnmon; Liangqiong Qu; Khaled Kamal Saab; Christopher Lee-Messer; Daniel L. Rubin (CoRR, 2022)

A multivariate adaptive gradient algorithm with reduced tuning efforts. - Samer Saab Jr.; Khaled Kamal Saab; Shashi Phoha; Minghui Zhu; Asok Ray (Neural Networks, 2022)

Modeling Multivariate Biosignals With Graph Neural Networks and Structured State Space Models. - Siyi Tang; Jared A. Dunnmon; Liangqiong Qu; Khaled Kamal Saab; Tina Baykaner; Christopher Lee-Messer; Daniel L. Rubin (CHIL, 2023)

Hungry Hungry Hippos: Towards Language Modeling with State Space Models. - Daniel Y. Fu; Tri Dao; Khaled Kamal Saab; Armin W. Thomas; Atri Rudra; Christopher Ré (ICLR, 2023)

Effectively Modeling Time Series with Simple Discrete State Spaces. - Michael Zhang; Khaled Kamal Saab; Michael Poli; Tri Dao; Karan Goel; Christopher Ré (ICLR, 2023)

A case for reframing automated medical image classification as segmentation. - Sarah M. Hooper; Mayee F. Chen; Khaled Saab 002; Kush Bhatia; Curtis P. Langlotz; Christopher Ré (NeurIPS, 2023)

Towards trustworthy seizure onset detection using workflow notes. - Khaled Saab 002; Siyi Tang; Mohamed Taha; Christopher Lee-Messer; Christopher Ré; Daniel L. Rubin (npj Digit. Medicine, 2024)