A globally optimal Neyman-Pearson test for hard decisions fusion in cooperative spectrum sensing. - Ahmed M. Alaa; Omar A. Nasr (ICNC, 2014)

On the capacity of the underwater acoustic channel with dominant noise sources. - Mustafa A. Kishk; Ahmed M. Alaa (ISTT, 2014)

Spectrum sensing via reconfigurable antennas: Is cooperation of secondary users indispensable? - Ahmed M. Alaa; Mahmoud H. Ismail; Hazim Tawfik (WCNC, 2014)

Defeating the Eavesdropper: On the Achievable Secrecy Capacity using Reconfigurable Antennas. - Ahmed M. Alaa (CoRR, 2014)

Band-Sweeping M-ary PSK (BS-M-PSK) Modulation and Transceiver Design. - Ahmed M. Alaa (CoRR, 2014)

Stable Throughput Region of Cognitive-Relay Networks with Imperfect Sensing and Finite Relaying Buffer. - Ahmed M. Alaa (CoRR, 2014)

Achievable Degrees-of-Freedom Through Blind Interference Alignment using Staggered Antenna Switching for the K-user SISO Interference Channel. - Ahmed M. Alaa; Mahmoud H. Ismail (CoRR, 2014)

Opportunistic Beamforming using Dumb Basis Patterns in Multiple Access Cognitive Channels. - Ahmed M. Alaa; Mahmoud H. Ismail; Hazim Tawfik (CoRR, 2014)

Opportunistic spectrum sharing using dumb basis patterns: The Line-of-Sight interference scenario. - Ahmed M. Alaa; Mahmoud H. Ismail; Hazim Tawfik (ICNC, 2015)

Evolution of Social Networks: A Microfounded Model. - Ahmed M. Alaa; Kartik Ahuja; Mihaela van der Schaar (CoRR, 2015)

Self-Organizing Networks of Information Gathering Cognitive Agents. - Ahmed M. Alaa; Kartik Ahuja; Mihaela van der Schaar (IEEE Trans. Cogn. Commun. Netw., 2015)

Globally Optimal Cooperation in Dense Cognitive Radio Networks. - Ahmed M. Alaa; Omar A. Nasr (Wirel. Pers. Commun., 2015)

ForecastICU: A Prognostic Decision Support System for Timely Prediction of Intensive Care Unit Admission. - Jinsung Yoon; Ahmed M. Alaa; Scott Hu; Mihaela van der Schaar (ICML, 2016)

Balancing Suspense and Surprise: Timely Decision Making with Endogenous Information Acquisition. - Ahmed M. Alaa; Mihaela van der Schaar (NIPS, 2016)

Personalized Risk Scoring for Critical Care Patients using Mixtures of Gaussian Process Experts. - Ahmed M. Alaa; Jinsung Yoon; Scott Hu; Mihaela van der Schaar (CoRR, 2016)

A Semi-Markov Switching Linear Gaussian Model for Censored Physiological Data. - Ahmed M. Alaa; Jinsung Yoon; Scott Hu; Mihaela van der Schaar (CoRR, 2016)

Spectrum sensing via reconfigurable antennas: fundamental limits and potential gains. - Ahmed M. Alaa; Mahmoud H. Ismail; Hazim Tawfik (Telecommun. Syst., 2016)

ConfidentCare: A Clinical Decision Support System for Personalized Breast Cancer Screening. - Ahmed M. Alaa; Kyeong H. Moon; William Hsu; Mihaela van der Schaar (IEEE Trans. Multim., 2016)

Random Aerial Beamforming for Underlay Cognitive Radio With Exposed Secondary Users. - Ahmed M. Alaa; Mahmoud H. Ismail; Hazim Tawfik (IEEE Trans. Veh. Technol., 2016)

Defeating the Eavesdropper: On the Achievable Secrecy Capacity Using Reconfigurable Antennas. - Ahmed M. Alaa; Yasmine A. Fahmy (Wirel. Pers. Commun., 2016)

Personalized Donor-Recipient Matching for Organ Transplantation. - Jinsung Yoon; Ahmed M. Alaa; Martin Cadeiras; Mihaela van der Schaar (AAAI, 2017)

Learning from Clinical Judgments: Semi-Markov-Modulated Marked Hawkes Processes for Risk Prognosis. - Ahmed M. Alaa; Scott Hu; Mihaela van der Schaar (ICML, 2017)

Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes. - Ahmed M. Alaa; Mihaela van der Schaar (CoRR, 2017)

Deep Counterfactual Networks with Propensity-Dropout. - Ahmed M. Alaa; Michael Weisz; Mihaela van der Schaar (CoRR, 2017)

Individualized Risk Prognosis for Critical Care Patients: A Multi-task Gaussian Process Model. - Ahmed M. Alaa; Jinsung Yoon; Scott Hu; Mihaela van der Schaar (CoRR, 2017)

Personalized Survival Predictions for Cardiac Transplantation via Trees of Predictors. - Jinsung Yoon; William R. Zame; Amitava Banerjee; Martin Cadeiras; Ahmed M. Alaa; Mihaela van der Schaar (CoRR, 2017)

Achievable Degrees of Freedom of the K-User SISO Interference Channel With Blind Interference Alignment Using Staggered Antenna Switching. - Ahmed M. Alaa; Mahmoud H. Ismail (IEEE Trans. Veh. Technol., 2017)

Limits of Estimating Heterogeneous Treatment Effects: Guidelines for Practical Algorithm Design. - Ahmed M. Alaa; Mihaela van der Schaar (ICML, 2018)

AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning. - Ahmed M. Alaa; Mihaela van der Schaar (ICML, 2018)

Forecasting Individualized Disease Trajectories using Interpretable Deep Learning. - Ahmed M. Alaa; Mihaela van der Schaar (CoRR, 2018)

A Hidden Absorbing Semi-Markov Model for Informatively Censored Temporal Data: Learning and Inference. - Ahmed M. Alaa; Mihaela van der Schaar (J. Mach. Learn. Res., 2018)

Bayesian Nonparametric Causal Inference: Information Rates and Learning Algorithms. - Ahmed M. Alaa; Mihaela van der Schaar (IEEE J. Sel. Top. Signal Process., 2018)

Personalized Risk Scoring for Critical Care Prognosis Using Mixtures of Gaussian Processes. - Ahmed M. Alaa; Jinsung Yoon; Scott Hu; Mihaela van der Schaar (IEEE Trans. Biomed. Eng., 2018)

A Micro-Foundation of Social Capital in Evolving Social Networks. - Ahmed M. Alaa; Kartik Ahuja; Mihaela van der Schaar (IEEE Trans. Netw. Sci. Eng., 2018)

Opportunistic Beamforming Using Dumb Basis Patterns in Cognitive Multiple Access Channels. - Ahmed M. Alaa; Mahmoud H. Ismail; Hazim Tawfik (IEEE Trans. Veh. Technol., 2018)

Temporal Quilting for Survival Analysis. - Changhee Lee; William R. Zame; Ahmed M. Alaa; Mihaela van der Schaar (AISTATS, 2019)

Validating Causal Inference Models via Influence Functions. - Ahmed M. Alaa; Mihaela van der Schaar (ICML, 2019)

Demystifying Black-box Models with Symbolic Metamodels. - Ahmed M. Alaa; Mihaela van der Schaar (NeurIPS, 2019)

Attentive State-Space Modeling of Disease Progression. - Ahmed M. Alaa; Mihaela van der Schaar (NeurIPS, 2019)

Lifelong Bayesian Optimization. - Yao Zhang; James Jordon; Ahmed M. Alaa; Mihaela van der Schaar (CoRR, 2019)

Learning Dynamic and Personalized Comorbidity Networks from Event Data using Deep Diffusion Processes. - Zhaozhi Qian; Ahmed M. Alaa; Alexis Bellot; Mihaela van der Schaar; Jem Rashbass (AISTATS, 2020)

Estimating counterfactual treatment outcomes over time through adversarially balanced representations. - Ioana Bica; Ahmed M. Alaa; James Jordon; Mihaela van der Schaar (ICLR, 2020)

Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions. - Ahmed M. Alaa; Mihaela van der Schaar (ICML, 2020)

Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence Functions. - Ahmed M. Alaa; Mihaela van der Schaar (ICML, 2020)

Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders. - Ioana Bica; Ahmed M. Alaa; Mihaela van der Schaar (ICML, 2020)

Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift. - Alex J. Chan; Ahmed M. Alaa; Zhaozhi Qian; Mihaela van der Schaar (ICML, 2020)

When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian Processes. - Zhaozhi Qian; Ahmed M. Alaa; Mihaela van der Schaar (NeurIPS, 2020)

When to Lift the Lockdown? Global COVID-19 Scenario Planning and Policy Effects using Compartmental Gaussian Processes. - Zhaozhi Qian; Ahmed M. Alaa; Mihaela van der Schaar (CoRR, 2020)

Learning Matching Representations for Individualized Organ Transplantation Allocation. - Can Xu; Ahmed M. Alaa; Ioana Bica; Brent D. Ershoff; Maxime Cannesson; Mihaela van der Schaar (AISTATS, 2021)

Generative Time-series Modeling with Fourier Flows. - Ahmed M. Alaa; Alex James Chan; Mihaela van der Schaar (ICLR, 2021)

Learning Queueing Policies for Organ Transplantation Allocation using Interpretable Counterfactual Survival Analysis. - Jeroen Berrevoets; Ahmed M. Alaa; Zhaozhi Qian; James Jordon; Alexander E. S. Gimson; Mihaela van der Schaar (ICML, 2021)

Conformal Time-series Forecasting. - Kamile Stankeviciute; Ahmed M. Alaa; Mihaela van der Schaar (NeurIPS, 2021)

CPAS: the UK's national machine learning-based hospital capacity planning system for COVID-19. - Zhaozhi Qian; Ahmed M. Alaa; Mihaela van der Schaar (Mach. Learn., 2021)

How artificial intelligence and machine learning can help healthcare systems respond to COVID-19. - Mihaela van der Schaar; Ahmed M. Alaa; R. Andres Floto; Alexander Gimson; Stefan Scholtes; Angela M. Wood; Eoin F. McKinney; Daniel Jarrett; Pietro Lió; Ari Ercole (Mach. Learn., 2021)

Machine learning to guide the use of adjuvant therapies for breast cancer. - Ahmed M. Alaa; Deepti Gurdasani; Adrian L. Harris; Jem Rashbass; Mihaela van der Schaar (Nat. Mach. Intell., 2021)

How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models. - Ahmed M. Alaa; Boris van Breugel; Evgeny S. Saveliev; Mihaela van der Schaar (ICML, 2022)

Machine Learning for Health (ML4H) 2022. - Antonio Parziale; Monica Agrawal; Shengpu Tang; Kristen Severson 001; Luis Oala; Adarsh Subbaswamy; Sayantan Kumar; Elora D. M. Schörverth; Stefan Hegselmann; Helen Zhou; Ghada Zamzmi; Purity Mugambi; et al. (ML4H@NeurIPS, 2022)

ETAB: A Benchmark Suite for Visual Representation Learning in Echocardiography. - Ahmed M. Alaa; Anthony Philippakis; David A. Sontag (NeurIPS, 2022)

Mining for informative signals in biological sequences. - Ahmed M. Alaa (Nat. Mach. Intell., 2022)

Conformalized Unconditional Quantile Regression. - Ahmed M. Alaa; Zeshan M. Hussain; David A. Sontag (AISTATS, 2023)

Large-Scale Study of Temporal Shift in Health Insurance Claims. - Christina X. Ji; Ahmed M. Alaa; David A. Sontag (CHIL, 2023)

Conformal Meta-learners for Predictive Inference of Individual Treatment Effects. - Ahmed M. Alaa; Zaid Ahmad; Mark J. van der Laan (NeurIPS, 2023)

DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in Histopathology. - Marco Aversa; Gabriel Nobis; Miriam Hägele; Kai Standvoss; Mihaela Chirica; Roderick Murray-Smith; Ahmed M. Alaa; Lukas Ruff; Daniela Ivanova; Wojciech Samek; Frederick Klauschen; Bruno Sanguinetti; et al. (NeurIPS, 2023)

Aligning Synthetic Medical Images with Clinical Knowledge using Human Feedback. - Shenghuan Sun; Gregory M. Goldgof; Atul J. Butte; Ahmed M. Alaa (NeurIPS, 2023)

Large Language Models as Agents in the Clinic. - Nikita Mehandru; Brenda Y. Miao; Eduardo Rodriguez Almaraz; Madhumita Sushil; Atul J. Butte; Ahmed M. Alaa (CoRR, 2023)

Estimating Uncertainty in Multimodal Foundation Models using Public Internet Data. - Shiladitya Dutta; Hongbo Wei; Lars van der Laan; Ahmed M. Alaa (CoRR, 2023)

Generating Drug Repurposing Hypotheses through the Combination of Disease-Specific Hypergraphs. - Ayush Jain; Marie-Laure Charpignon; Irene Y. Chen; Anthony Philippakis; Ahmed M. Alaa (CoRR, 2023)

InstructCV: Instruction-Tuned Text-to-Image Diffusion Models as Vision Generalists. - Yulu Gan; Sungwoo Park; Alexander Schubert; Anthony Philippakis; Ahmed M. Alaa (ICLR, 2024)

Prediction-powered Generalization of Causal Inferences. - Ilker Demirel; Ahmed M. Alaa; Anthony Philippakis; David A. Sontag (ICML, 2024)

Mean-field Chaos Diffusion Models. - Sungwoo Park; Dongjun Kim; Ahmed Alaa 001 (ICML, 2024)

Med-Real2Sim: Non-Invasive Medical Digital Twins using Physics-Informed Self-Supervised Learning. - Keying Kuang; Frances Dean; Jack B. Jedlicki; David Ouyang; Anthony Philippakis; David A. Sontag; Ahmed M. Alaa (NeurIPS, 2024)

Self-Calibrating Conformal Prediction. - Lars van der Laan; Ahmed M. Alaa (NeurIPS, 2024)

EEG-GPT: Exploring Capabilities of Large Language Models for EEG Classification and Interpretation. - Jonathan W. Kim; Ahmed Alaa 001; Danilo Bernardo (CoRR, 2024)

Self-Consistent Conformal Prediction. - Lars van der Laan; Ahmed M. Alaa (CoRR, 2024)

Non-Invasive Medical Digital Twins using Physics-Informed Self-Supervised Learning. - Keying Kuang; Frances Dean; Jack B. Jedlicki; David Ouyang; Anthony Philippakis; David A. Sontag; Ahmed M. Alaa (CoRR, 2024)

Dr-LLaVA: Visual Instruction Tuning with Symbolic Clinical Grounding. - Shenghuan Sun; Gregory M. Goldgof; Alexander Schubert; Zhiqing Sun; Thomas Hartvigsen; Atul J. Butte; Ahmed M. Alaa (CoRR, 2024)

Seq-to-Final: A Benchmark for Tuning from Sequential Distributions to a Final Time Point. - Christina X. Ji; Ahmed M. Alaa; David A. Sontag (CoRR, 2024)

Large Language Models as Co-Pilots for Causal Inference in Medical Studies. - Ahmed Alaa 001; Rachael V. Phillips; Emre Kiciman; Laura Balzer; Mark J. van der Laan; Maya Petersen (CoRR, 2024)

Generative AI Enables Medical Image Segmentation in Ultra Low-Data Regimes. - Li Zhang 039; Basu Jindal; Ahmed Alaa 001; Robert Weinreb; David Wilson; Eran Segal; James Zou 001; Pengtao Xie (CoRR, 2024)

Veridical Data Science for Medical Foundation Models. - Ahmed Alaa 001; Bin Yu (CoRR, 2024)

DMLR: Data-centric Machine Learning Research - Past, Present and Future. - Luis Oala; Manil Maskey; Lilith Bat-Leah; Alicia Parrish; Nezihe Merve Gürel; Tzu-Sheng Kuo; Yang Liu 018; Rotem Dror; Danilo Brajovic; Xiaozhe Yao; Max Bartolo; William Gaviria Rojas; et al. (J. Data-centric Mach. Learn. Res., 2024)

Evaluating large language models as agents in the clinic. - Nikita Mehandru; Brenda Y. Miao; Eduardo Rodriguez Almaraz; Madhumita Sushil; Atul J. Butte; Ahmed M. Alaa (npj Digit. Medicine, 2024)

Pruning the Way to Reliable Policies: A Multi-Objective Deep Q-Learning Approach to Critical Care. - Ali Shirali; Alexander Schubert; Ahmed Alaa 001 (IEEE J. Biomed. Health Informatics, 2024)

Lifelong Model Editing with Graph-Based External Memory. - Yash Kumar Atri; Ahmed M. Alaa; Thomas Hartvigsen (ACL (Findings), 2025)

Lifelong Knowledge Editing requires Better Regularization. - Akshat Gupta; Phudish Prateepamornkul; Maochuan Lu; Ahmed M. Alaa; Thomas Hartvigsen; Gopala Anumanchipalli (EMNLP (Findings), 2025)

Viability of Machine Translation for Healthcare in Low-Resourced Languages. - Hellina Hailu Nigatu; Nikita Mehandru; Negasi Haile Abadi; Blen Gebremeskel; Ahmed Alaa 001; Monojit Choudhury (EMNLP, 2025)

Position: Medical Large Language Model Benchmarks Should Prioritize Construct Validity. - Ahmed Alaa 001; Thomas Hartvigsen; Niloufar Golchini; Shiladitya Dutta; Frances Dean; Inioluwa Deborah Raji; Travis Zack (ICML (Position Papers), 2025)

Generalized Venn and Venn-Abers Calibration with Applications in Conformal Prediction. - Lars van der Laan; Ahmed M. Alaa (ICML, 2025)

A longitudinal analysis of declining medical safety messaging in generative AI models. - Sonali Sharma; Ahmed M. Alaa; Roxana Daneshjou (npj Digit. Medicine, 2025)

BioAgents: Democratizing Bioinformatics Analysis with Multi-Agent Systems. - Nikita Mehandru; Amanda K. Hall; Olesya Melnichenko; Yulia Dubinina; Daniel Tsirulnikov; David Bamman; Ahmed M. Alaa; T. Scott Saponas; Venkat S. Malladi (CoRR, 2025)

Conformal Prediction Sets with Improved Conditional Coverage using Trust Scores. - Jivat Neet Kaur; Michael I. Jordan; Ahmed Alaa 001 (CoRR, 2025)

Lifelong Sequential Knowledge Editing without Model Degradation. - Akshat Gupta; Phudish Prateepamornkul; Maochuan Lu; Ahmed M. Alaa; Thomas Hartvigsen; Gopala Anumanchipalli (CoRR, 2025)

Limitations of Large Language Models in Clinical Problem-Solving Arising from Inflexible Reasoning. - Jonathan W. Kim; Anna Podlasek; Kie Shidara; Feng Liu; Ahmed Alaa 001; Danilo Bernardo (CoRR, 2025)

Norm Growth and Stability Challenges in Localized Sequential Knowledge Editing. - Akshat Gupta; Christine Fang; Atahan Ozdemir; Maochuan Lu; Ahmed M. Alaa; Thomas Hartvigsen; Gopala Anumanchipalli (CoRR, 2025)

Medical Large Language Model Benchmarks Should Prioritize Construct Validity. - Ahmed M. Alaa; Thomas Hartvigsen; Niloufar Golchini; Shiladitya Dutta; Frances Dean; Inioluwa Deborah Raji; Travis Zack (CoRR, 2025)

Model Editing with Graph-Based External Memory. - Yash Kumar Atri; Ahmed M. Alaa; Thomas Hartvigsen (CoRR, 2025)

ER-REASON: A Benchmark Dataset for LLM-Based Clinical Reasoning in the Emergency Room. - Nikita Mehandru; Niloufar Golchini; David Bamman; Travis Zack; Melanie F. Molina; Ahmed Alaa 001 (CoRR, 2025)

Hybrid Meta-learners for Estimating Heterogeneous Treatment Effects. - Zhongyuan Liang; Lars van der Laan; Ahmed M. Alaa (CoRR, 2025)

A Systematic Analysis of Declining Medical Safety Messaging in Generative AI Models. - Sonali Sharma; Ahmed M. Alaa; Roxana Daneshjou (CoRR, 2025)

Data reuse enables cost-efficient randomized trials of medical AI models. - Michael Nercessian; Wenxin Zhang; Alexander Schubert; Daphne Yang; Maggie Chung; Ahmed Alaa 001; Adam Yala (CoRR, 2025)

Reliable agent engineering should integrate machine-compatible organizational principles. - R. Patrick Xian; Garry A. Gabison; Ahmed Alaa 001; Christoph Riedl; Grigorios G. Chrysos (CoRR, 2025)

Advances in LLM Reasoning Enable Flexibility in Clinical Problem-Solving. - Kie Shidara; Preethi Prem; Jonathan Kim; Anna Podlasek; Feng Liu; Ahmed Alaa 001; Danilo Bernardo (CoRR, 2026)

ReasonEdit: Editing Vision-Language Models using Human Reasoning. - Jiaxing Qiu; Kaihua Hou; Roxana Daneshjou; Ahmed Alaa 001; Thomas Hartvigsen (CoRR, 2026)

Aligning Language Model Benchmarks with Pairwise Preferences. - Marco Gutierrez; Xinyi Leng; Hannah Cyberey; Jonathan Richard Schwarz; Ahmed Alaa 001; Thomas Hartvigsen (CoRR, 2026)

Causal Effect Estimation with Learned Instrument Representations. - Frances Dean; Jenna Fields; Radhika Bhalerao; Marie-Laure Charpignon; Ahmed Alaa 001 (CoRR, 2026)

CheXthought: A global multimodal dataset of clinical chain-of-thought reasoning and visual attention for chest X-ray interpretation. - Sonali Sharma; Jin Long; George Shih; Sarah Eid; Christian Bluethgen; Francine L. Jacobson; Emily Bao Tsai; Global Radiology Consortium; Ahmed M. Alaa; Curtis P. Langlotz (CoRR, 2026)

Test-Time Hinting for Black-Box Vision-Language Models. - Kaihua Hou; Abhijith Varma Mudunuri; Jiaxing Qiu; Roxana Daneshjou; Thomas Hartvigsen; Ahmed Alaa 001 (CoRR, 2026)