Ahmed M. Alaa

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 81

Top Venues

Publications

Shenghuan Sun, Gregory M. Goldgof, Alexander Schubert, Zhiqing Sun, Thomas Hartvigsen, Atul J. Butte, Ahmed M. Alaa
Dr-LLaVA: Visual Instruction Tuning with Symbolic Clinical Grounding. CoRR (2024)
Ilker Demirel, Ahmed M. Alaa, Anthony Philippakis, David A. Sontag
Prediction-powered Generalization of Causal Inferences. CoRR (2024)
Keying Kuang, Frances Dean, Jack B. Jedlicki, David Ouyang, Anthony Philippakis, David A. Sontag, Ahmed M. Alaa
Non-Invasive Medical Digital Twins using Physics-Informed Self-Supervised Learning. CoRR (2024)
Nikita Mehandru, Brenda Y. Miao, Eduardo Rodriguez Almaraz, Madhumita Sushil, Atul J. Butte, Ahmed M. Alaa
Evaluating large language models as agents in the clinic. npj Digit. Medicine 7 (1) (2024)
Christina X. Ji, Ahmed M. Alaa, David A. Sontag
Seq-to-Final: A Benchmark for Tuning from Sequential Distributions to a Final Time Point. CoRR (2024)
Lars van der Laan, Ahmed M. Alaa
Self-Consistent Conformal Prediction. CoRR (2024)
Yulu Gan, Sungwoo Park, Alexander Schubert, Anthony Philippakis, Ahmed M. Alaa
InstructCV: Instruction-Tuned Text-to-Image Diffusion Models as Vision Generalists. ICLR (2024)
Christina X. Ji, Ahmed M. Alaa, David A. Sontag
Large-Scale Study of Temporal Shift in Health Insurance Claims. CHIL (2023)
Nikita Mehandru, Brenda Y. Miao, Eduardo Rodriguez Almaraz, Madhumita Sushil, Atul J. Butte, Ahmed M. Alaa
Large Language Models as Agents in the Clinic. CoRR (2023)
Ahmed M. Alaa, Zeshan Hussain, David A. Sontag
Conformalized Unconditional Quantile Regression. CoRR (2023)
Ahmed M. Alaa, Zeshan M. Hussain, David A. Sontag
Conformalized Unconditional Quantile Regression. AISTATS (2023)
Yulu Gan, Sungwoo Park, Alexander Schubert, Anthony Philippakis, Ahmed M. Alaa
InstructCV: Instruction-Tuned Text-to-Image Diffusion Models as Vision Generalists. CoRR (2023)
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, Luis Oala
DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in Histopathology. NeurIPS (2023)
Shenghuan Sun, Gregory M. Goldgof, Atul J. Butte, Ahmed M. Alaa
Aligning Synthetic Medical Images with Clinical Knowledge using Human Feedback. NeurIPS (2023)
Shiladitya Dutta, Hongbo Wei, Lars van der Laan, Ahmed M. Alaa
Estimating Uncertainty in Multimodal Foundation Models using Public Internet Data. CoRR (2023)
Christina X. Ji, Ahmed M. Alaa, David A. Sontag
Large-Scale Study of Temporal Shift in Health Insurance Claims. CoRR (2023)
Shenghuan Sun, Gregory M. Goldgof, Atul J. Butte, Ahmed M. Alaa
Aligning Synthetic Medical Images with Clinical Knowledge using Human Feedback. CoRR (2023)
Ahmed M. Alaa, Zaid Ahmad, Mark J. van der Laan
Conformal Meta-learners for Predictive Inference of Individual Treatment Effects. NeurIPS (2023)
Ayush Jain, Marie-Laure Charpignon, Irene Y. Chen, Anthony Philippakis, Ahmed M. Alaa
Generating Drug Repurposing Hypotheses through the Combination of Disease-Specific Hypergraphs. CoRR (2023)
Ahmed M. Alaa, Anthony Philippakis, David A. Sontag
ETAB: A Benchmark Suite for Visual Representation Learning in Echocardiography. NeurIPS (2022)
Ahmed M. Alaa
Mining for informative signals in biological sequences. Nat. Mach. Intell. 4 (8) (2022)
Jeroen Berrevoets, Ahmed M. Alaa, Zhaozhi Qian, James Jordon, Alexander E. S. Gimson, Mihaela van der Schaar
Learning Queueing Policies for Organ Transplantation Allocation using Interpretable Counterfactual Survival Analysis. ICML (2021)
Ahmed M. Alaa, Alex James Chan, Mihaela van der Schaar
Generative Time-series Modeling with Fourier Flows. ICLR (2021)
Ahmed M. Alaa, Boris van Breugel, Evgeny Saveliev, Mihaela van der Schaar
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models. CoRR (2021)
Can Xu, Ahmed M. Alaa, Ioana Bica, Brent D. Ershoff, Maxime Cannesson, Mihaela van der Schaar
Learning Matching Representations for Individualized Organ Transplantation Allocation. CoRR (2021)
Kamile Stankeviciute, Ahmed M. Alaa, Mihaela van der Schaar
Conformal Time-series Forecasting. NeurIPS (2021)
Zhaozhi Qian, Ahmed M. Alaa, Mihaela van der Schaar
CPAS: the UK's national machine learning-based hospital capacity planning system for COVID-19. Mach. Learn. 110 (1) (2021)
Can Xu, Ahmed M. Alaa, Ioana Bica, Brent D. Ershoff, Maxime Cannesson, Mihaela van der Schaar
Learning Matching Representations for Individualized Organ Transplantation Allocation. AISTATS (2021)
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
How artificial intelligence and machine learning can help healthcare systems respond to COVID-19. Mach. Learn. 110 (1) (2021)
Ahmed M. Alaa, Deepti Gurdasani, Adrian L. Harris, Jem Rashbass, Mihaela van der Schaar
Machine learning to guide the use of adjuvant therapies for breast cancer. Nat. Mach. Intell. 3 (8) (2021)
Zhaozhi Qian, Ahmed M. Alaa, Alexis Bellot, Mihaela van der Schaar, Jem Rashbass
Learning Dynamic and Personalized Comorbidity Networks from Event Data using Deep Diffusion Processes. AISTATS (2020)
Ahmed M. Alaa, Mihaela van der Schaar
Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence Functions. CoRR (2020)
Zhaozhi Qian, Ahmed M. Alaa, Mihaela van der Schaar
When to Lift the Lockdown? Global COVID-19 Scenario Planning and Policy Effects using Compartmental Gaussian Processes. CoRR (2020)
Zhaozhi Qian, Ahmed M. Alaa, Mihaela van der Schaar
When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian Processes. NeurIPS (2020)
Ioana Bica, Ahmed M. Alaa, James Jordon, Mihaela van der Schaar
Estimating Counterfactual Treatment Outcomes over Time Through Adversarially Balanced Representations. CoRR (2020)
Ahmed M. Alaa, Mihaela van der Schaar
Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions. ICML (2020)
Alex J. Chan, Ahmed M. Alaa, Zhaozhi Qian, Mihaela van der Schaar
Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift. CoRR (2020)
Zhaozhi Qian, Ahmed M. Alaa, Mihaela van der Schaar
CPAS: the UK's National Machine Learning-based Hospital Capacity Planning System for COVID-19. CoRR (2020)
Ioana Bica, Ahmed M. Alaa, James Jordon, Mihaela van der Schaar
Estimating counterfactual treatment outcomes over time through adversarially balanced representations. ICLR (2020)
Ahmed M. Alaa, Mihaela van der Schaar
Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions. CoRR (2020)
Zhaozhi Qian, Ahmed M. Alaa, Alexis Bellot, Jem Rashbass, Mihaela van der Schaar
Learning Dynamic and Personalized Comorbidity Networks from Event Data using Deep Diffusion Processes. CoRR (2020)
Ioana Bica, Ahmed M. Alaa, Mihaela van der Schaar
Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders. ICML (2020)
Ahmed M. Alaa, Mihaela van der Schaar
Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence Functions. ICML (2020)
Alex J. Chan, Ahmed M. Alaa, Zhaozhi Qian, Mihaela van der Schaar
Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift. ICML (2020)
Ioana Bica, Ahmed M. Alaa, Mihaela van der Schaar
Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders. CoRR (2019)
Ahmed M. Alaa, Mihaela van der Schaar
Demystifying Black-box Models with Symbolic Metamodels. NeurIPS (2019)
Yao Zhang, James Jordon, Ahmed M. Alaa, Mihaela van der Schaar
Lifelong Bayesian Optimization. CoRR (2019)
Ahmed M. Alaa, Mihaela van der Schaar
Validating Causal Inference Models via Influence Functions. ICML (2019)
Ahmed M. Alaa, Mihaela van der Schaar
Attentive State-Space Modeling of Disease Progression. NeurIPS (2019)
Changhee Lee, William R. Zame, Ahmed M. Alaa, Mihaela van der Schaar
Temporal Quilting for Survival Analysis. AISTATS (2019)
Ahmed M. Alaa, Mihaela van der Schaar
A Hidden Absorbing Semi-Markov Model for Informatively Censored Temporal Data: Learning and Inference. J. Mach. Learn. Res. 19 (2018)
Ahmed M. Alaa, Mihaela van der Schaar
Forecasting Individualized Disease Trajectories using Interpretable Deep Learning. CoRR (2018)
Ahmed M. Alaa, Kartik Ahuja, Mihaela van der Schaar
A Micro-Foundation of Social Capital in Evolving Social Networks. IEEE Trans. Netw. Sci. Eng. 5 (1) (2018)
Ahmed M. Alaa, Mihaela van der Schaar
Bayesian Nonparametric Causal Inference: Information Rates and Learning Algorithms. IEEE J. Sel. Top. Signal Process. 12 (5) (2018)
Ahmed M. Alaa, Mihaela van der Schaar
AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning. ICML (2018)
Ahmed M. Alaa, Mihaela van der Schaar
Limits of Estimating Heterogeneous Treatment Effects: Guidelines for Practical Algorithm Design. ICML (2018)
Ahmed M. Alaa, Jinsung Yoon, Scott Hu, Mihaela van der Schaar
Personalized Risk Scoring for Critical Care Prognosis Using Mixtures of Gaussian Processes. IEEE Trans. Biomed. Eng. 65 (1) (2018)
Ahmed M. Alaa, Mahmoud H. Ismail, Hazim Tawfik
Opportunistic Beamforming Using Dumb Basis Patterns in Cognitive Multiple Access Channels. IEEE Trans. Veh. Technol. 67 (2) (2018)
Ahmed M. Alaa, Mihaela van der Schaar
AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning. CoRR (2018)
Ahmed M. Alaa, Mahmoud H. Ismail
Achievable Degrees of Freedom of the K-User SISO Interference Channel With Blind Interference Alignment Using Staggered Antenna Switching. IEEE Trans. Veh. Technol. 66 (3) (2017)
Ahmed M. Alaa, Jinsung Yoon, Scott Hu, Mihaela van der Schaar
Individualized Risk Prognosis for Critical Care Patients: A Multi-task Gaussian Process Model. CoRR (2017)
Ahmed M. Alaa, Scott Hu, Mihaela van der Schaar
Learning from Clinical Judgments: Semi-Markov-Modulated Marked Hawkes Processes for Risk Prognosis. ICML (2017)
Jinsung Yoon, Ahmed M. Alaa, Martin Cadeiras, Mihaela van der Schaar
Personalized Donor-Recipient Matching for Organ Transplantation. AAAI (2017)
Ahmed M. Alaa, Michael Weisz, Mihaela van der Schaar
Deep Counterfactual Networks with Propensity-Dropout. CoRR (2017)
Ahmed M. Alaa, Scott Hu, Mihaela van der Schaar
Learning from Clinical Judgments: Semi-Markov-Modulated Marked Hawkes Processes for Risk Prognosis. CoRR (2017)
Ahmed M. Alaa, Mihaela van der Schaar
Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes. CoRR (2017)
Ahmed M. Alaa, Mihaela van der Schaar
Bayesian Nonparametric Causal Inference: Information Rates and Learning Algorithms. CoRR (2017)
Jinsung Yoon, William R. Zame, Amitava Banerjee, Martin Cadeiras, Ahmed M. Alaa, Mihaela van der Schaar
Personalized Survival Predictions for Cardiac Transplantation via Trees of Predictors. CoRR (2017)
Jinsung Yoon, Ahmed M. Alaa, Scott Hu, Mihaela van der Schaar
ForecastICU: A Prognostic Decision Support System for Timely Prediction of Intensive Care Unit Admission. ICML (2016)
Ahmed M. Alaa, Jinsung Yoon, Scott Hu, Mihaela van der Schaar
Personalized Risk Scoring for Critical Care Prognosis using Mixtures of Gaussian Processes. CoRR (2016)
Ahmed M. Alaa, Mahmoud H. Ismail, Hazim Tawfik
Random Aerial Beamforming for Underlay Cognitive Radio With Exposed Secondary Users. IEEE Trans. Veh. Technol. 65 (7) (2016)
Ahmed M. Alaa, Mihaela van der Schaar
Balancing Suspense and Surprise: Timely Decision Making with Endogenous Information Acquisition. NIPS (2016)
Jinsung Yoon, Ahmed M. Alaa, Martin Cadeiras, Mihaela van der Schaar
Personalized Donor-Recipient Matching for Organ Transplantation. CoRR (2016)
Ahmed M. Alaa, Jinsung Yoon, Scott Hu, Mihaela van der Schaar
A Semi-Markov Switching Linear Gaussian Model for Censored Physiological Data. CoRR (2016)
Ahmed M. Alaa, Mihaela van der Schaar
A Hidden Absorbing Semi-Markov Model for Informatively Censored Temporal Data: Learning and Inference. CoRR (2016)
Ahmed M. Alaa, Kyeong H. Moon, William Hsu, Mihaela van der Schaar
ConfidentCare: A Clinical Decision Support System for Personalized Breast Cancer Screening. CoRR (2016)
Ahmed M. Alaa, Kyeong H. Moon, William Hsu, Mihaela van der Schaar
ConfidentCare: A Clinical Decision Support System for Personalized Breast Cancer Screening. IEEE Trans. Multim. 18 (10) (2016)
Ahmed M. Alaa, Mihaela van der Schaar
Balancing Suspense and Surprise: Timely Decision Making with Endogenous Information Acquisition. CoRR (2016)
Ahmed M. Alaa, Jinsung Yoon, Scott Hu, Mihaela van der Schaar
Personalized Risk Scoring for Critical Care Patients using Mixtures of Gaussian Process Experts. CoRR (2016)
Ahmed M. Alaa, Mahmoud H. Ismail, Hazim Tawfik
Spectrum sensing via reconfigurable antennas: fundamental limits and potential gains. Telecommun. Syst. 62 (3) (2016)
Ahmed M. Alaa, Yasmine A. Fahmy
Defeating the Eavesdropper: On the Achievable Secrecy Capacity Using Reconfigurable Antennas. Wirel. Pers. Commun. 91 (2) (2016)
Ahmed M. Alaa, Omar A. Nasr
Globally Optimal Cooperation in Dense Cognitive Radio Networks. Wirel. Pers. Commun. 84 (2) (2015)
Ahmed M. Alaa, Kartik Ahuja, Mihaela van der Schaar
Self-organizing Networks of Information Gathering Cognitive Agents. CoRR (2015)
Ahmed M. Alaa, Kartik Ahuja, Mihaela van der Schaar
Self-Organizing Networks of Information Gathering Cognitive Agents. IEEE Trans. Cogn. Commun. Netw. 1 (1) (2015)
Ahmed M. Alaa, Kartik Ahuja, Mihaela van der Schaar
A Micro-foundation of Social Capital in Evolving Social Networks. CoRR (2015)
Ahmed M. Alaa, Mahmoud H. Ismail, Hazim Tawfik
Opportunistic spectrum sharing using dumb basis patterns: The Line-of-Sight interference scenario. ICNC (2015)
Ahmed M. Alaa, Kartik Ahuja, Mihaela van der Schaar
Evolution of Social Networks: A Microfounded Model. CoRR (2015)
Mustafa A. Kishk, Ahmed M. Alaa
On the capacity of the underwater acoustic channel with dominant noise sources. ISTT (2014)
Ahmed M. Alaa, Mahmoud H. Ismail, Hazim Tawfik
Spectrum sensing via reconfigurable antennas: Is cooperation of secondary users indispensable? WCNC (2014)
Ahmed M. Alaa, Mahmoud H. Ismail, Hazim Tawfik
Random Aerial Beamforming for Underlay Cognitive Radio with Exposed Secondary Users. CoRR (2014)
Ahmed M. Alaa, Mahmoud H. Ismail
Achievable Degrees-of-Freedom Through Blind Interference Alignment using Staggered Antenna Switching for the K-user SISO Interference Channel. CoRR (2014)
Ahmed M. Alaa
Defeating the Eavesdropper: On the Achievable Secrecy Capacity using Reconfigurable Antennas. CoRR (2014)
Ahmed M. Alaa, Omar A. Nasr
A globally optimal Neyman-Pearson test for hard decisions fusion in cooperative spectrum sensing. ICNC (2014)
Mustafa A. Kishk, Ahmed M. Alaa
On the Capacity of the Underwater Acoustic Channel with Dominant Noise Sources. CoRR (2014)
Ahmed M. Alaa, Mahmoud H. Ismail, Hazim Tawfik
Opportunistic Spectrum Sharing using Dumb Basis Patterns: The Line-of-Sight Interference Scenario. CoRR (2014)
Ahmed M. Alaa
Stable Throughput Region of Cognitive-Relay Networks with Imperfect Sensing and Finite Relaying Buffer. CoRR (2014)
Ahmed M. Alaa, Omar A. Nasr
Globally Optimal Cooperation in Dense Cognitive Radio Networks. CoRR (2014)
Ahmed M. Alaa, Mahmoud H. Ismail, Hazim Tawfik
Opportunistic Beamforming using Dumb Basis Patterns in Multiple Access Cognitive Channels. CoRR (2014)
Ahmed M. Alaa, Mahmoud H. Ismail, Hazim Tawfik
Spectrum Sensing Via Reconfigurable Antennas: Is Cooperation of Secondary Users Indispensable? CoRR (2014)
Ahmed M. Alaa
Band-Sweeping M-ary PSK (BS-M-PSK) Modulation and Transceiver Design. CoRR (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ahmed M. Alaa