Ahmed M. Alaa

According to our database, Ahmed M. Alaa authored at least 76 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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

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

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

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

Self-Consistent Conformal Prediction.

Lars van der Laan, Ahmed M. Alaa

CoRR, 2024

Prediction-powered Generalization of Causal Inferences.

Ilker Demirel, Ahmed M. Alaa, Anthony Philippakis, David A. Sontag

Proceedings of the Forty-first International Conference on Machine Learning, 2024

InstructCV: Instruction-Tuned Text-to-Image Diffusion Models as Vision Generalists.

Yulu Gan, Sungwoo Park, Alexander Schubert, Anthony Philippakis, Ahmed M. Alaa

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

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, Rotem Dror, Danilo Brajovic, Xiaozhe Yao, Max Bartolo, William Gaviria Rojas, Ryan Hileman, Rainier Aliment, Michael W. Mahoney, Meg Risdal, Matthew Lease, Wojciech Samek, Debojyoti Dutta, Curtis G. Northcutt, Cody Coleman, Braden Hancock, Bernard Koch, Girmaw Abebe Tadesse, Bojan Karlas, Ahmed M. Alaa, Adji Bousso Dieng, Natasha F. Noy, Vijay Janapa Reddi, James Zou, Praveen K. Paritosh, Mihaela van der Schaar, Kurt D. Bollacker, Lora Aroyo, Ce Zhang, Joaquin Vanschoren, Isabelle Guyon, Peter Mattson

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

Estimating Uncertainty in Multimodal Foundation Models using Public Internet Data.

Shiladitya Dutta, Hongbo Wei, Lars van der Laan, Ahmed M. Alaa

CoRR, 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

Pruning the Way to Reliable Policies: A Multi-Objective Deep Q-Learning Approach to Critical Care.

Ali Shirali, Alexander Schubert, Ahmed M. Alaa

CoRR, 2023

Aligning Synthetic Medical Images with Clinical Knowledge using Human Feedback.

Shenghuan Sun, Gregory M. Goldgof, Atul J. Butte, Ahmed M. Alaa

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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, Luis Oala

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Conformal Meta-learners for Predictive Inference of Individual Treatment Effects.

Ahmed M. Alaa, Zaid Ahmad, Mark J. van der Laan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Large-Scale Study of Temporal Shift in Health Insurance Claims.

Christina X. Ji, Ahmed M. Alaa, David A. Sontag

Proceedings of the Conference on Health, Inference, and Learning, 2023

Conformalized Unconditional Quantile Regression.

Ahmed M. Alaa, Zeshan M. Hussain, David A. Sontag

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Mining for informative signals in biological sequences.

Ahmed M. Alaa

Nat. Mach. Intell., 2022

ETAB: A Benchmark Suite for Visual Representation Learning in Echocardiography.

Ahmed M. Alaa, Anthony Philippakis, David A. Sontag

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Machine Learning for Health (ML4H) 2022.

Antonio Parziale, Monica Agrawal, Shengpu Tang, Kristen Severson, Luis Oala, Adarsh Subbaswamy, Sayantan Kumar, Elora D. M. Schörverth, Stefan Hegselmann, Helen Zhou, Ghada Zamzmi, Purity Mugambi, Elena Sizikova, Girmaw Abebe Tadesse, Yuyin Zhou, Taylor W. Killian, Haoran Zhang, Fahad Kamran, Andrea Hobby, Mars Huang, Ahmed M. Alaa, Harvineet Singh, Irene Y. Chen, Shalmali Joshi

Proceedings of the Machine Learning for Health, 2022

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

Proceedings of the International Conference on Machine Learning, 2022

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 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

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

Conformal Time-series Forecasting.

Kamile Stankeviciute, Ahmed M. Alaa, Mihaela van der Schaar

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 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

Proceedings of the 38th International Conference on Machine Learning, 2021

Generative Time-series Modeling with Fourier Flows.

Ahmed M. Alaa, Alex James Chan, Mihaela van der Schaar

Proceedings of the 9th International Conference on Learning Representations, 2021

Learning Matching Representations for Individualized Organ Transplantation Allocation.

Can Xu, Ahmed M. Alaa, Ioana Bica, Brent D. Ershoff, Maxime Cannesson, Mihaela van der Schaar

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

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

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

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift.

Alex J. Chan, Ahmed M. Alaa, Zhaozhi Qian, Mihaela van der Schaar

Proceedings of the 37th International Conference on Machine Learning, 2020

Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders.

Ioana Bica, Ahmed M. Alaa, Mihaela van der Schaar

Proceedings of the 37th International Conference on Machine Learning, 2020

Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence Functions.

Ahmed M. Alaa, Mihaela van der Schaar

Proceedings of the 37th International Conference on Machine Learning, 2020

Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions.

Ahmed M. Alaa, Mihaela van der Schaar

Proceedings of the 37th International Conference on Machine Learning, 2020

Estimating counterfactual treatment outcomes over time through adversarially balanced representations.

Ioana Bica, Ahmed M. Alaa, James Jordon, Mihaela van der Schaar

Proceedings of the 8th International Conference on Learning Representations, 2020

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

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Lifelong Bayesian Optimization.

Yao Zhang, James Jordon, Ahmed M. Alaa, Mihaela van der Schaar

CoRR, 2019

Attentive State-Space Modeling of Disease Progression.

Ahmed M. Alaa, Mihaela van der Schaar

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Demystifying Black-box Models with Symbolic Metamodels.

Ahmed M. Alaa, Mihaela van der Schaar

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Validating Causal Inference Models via Influence Functions.

Ahmed M. Alaa, Mihaela van der Schaar

Proceedings of the 36th International Conference on Machine Learning, 2019

Temporal Quilting for Survival Analysis.

Changhee Lee, William R. Zame, Ahmed M. Alaa, Mihaela van der Schaar

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

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

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

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

Bayesian Nonparametric Causal Inference: Information Rates and Learning Algorithms.

Ahmed M. Alaa, Mihaela van der Schaar

IEEE J. Sel. Top. Signal Process., 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

Forecasting Individualized Disease Trajectories using Interpretable Deep Learning.

Ahmed M. Alaa, Mihaela van der Schaar

CoRR, 2018

AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning.

Ahmed M. Alaa, Mihaela van der Schaar

Proceedings of the 35th International Conference on Machine Learning, 2018

Limits of Estimating Heterogeneous Treatment Effects: Guidelines for Practical Algorithm Design.

Ahmed M. Alaa, Mihaela van der Schaar

Proceedings of the 35th International Conference on Machine Learning, 2018

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

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

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

Deep Counterfactual Networks with Propensity-Dropout.

Ahmed M. Alaa, Michael Weisz, Mihaela van der Schaar

CoRR, 2017

Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes.

Ahmed M. Alaa, Mihaela van der Schaar

CoRR, 2017

Learning from Clinical Judgments: Semi-Markov-Modulated Marked Hawkes Processes for Risk Prognosis.

Ahmed M. Alaa, Scott Hu, Mihaela van der Schaar

Proceedings of the 34th International Conference on Machine Learning, 2017

Personalized Donor-Recipient Matching for Organ Transplantation.

Jinsung Yoon, Ahmed M. Alaa, Martin Cadeiras, Mihaela van der Schaar

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Defeating the Eavesdropper: On the Achievable Secrecy Capacity Using Reconfigurable Antennas.

Ahmed M. Alaa, Yasmine A. Fahmy

Wirel. Pers. Commun., 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

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

Spectrum sensing via reconfigurable antennas: fundamental limits and potential gains.

Ahmed M. Alaa, Mahmoud H. Ismail, Hazim Tawfik

Telecommun. Syst., 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

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

Balancing Suspense and Surprise: Timely Decision Making with Endogenous Information Acquisition.

Ahmed M. Alaa, Mihaela van der Schaar

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

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

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Globally Optimal Cooperation in Dense Cognitive Radio Networks.

Ahmed M. Alaa, Omar A. Nasr

Wirel. Pers. Commun., 2015

Self-Organizing Networks of Information Gathering Cognitive Agents.

Ahmed M. Alaa, Kartik Ahuja, Mihaela van der Schaar

IEEE Trans. Cogn. Commun. Netw., 2015

Evolution of Social Networks: A Microfounded Model.

Ahmed M. Alaa, Kartik Ahuja, Mihaela van der Schaar

CoRR, 2015

Opportunistic spectrum sharing using dumb basis patterns: The Line-of-Sight interference scenario.

Ahmed M. Alaa, Mahmoud H. Ismail, Hazim Tawfik

Proceedings of the International Conference on Computing, Networking and Communications, 2015

2014

Opportunistic Beamforming using Dumb Basis Patterns in Multiple Access Cognitive Channels.

Ahmed M. Alaa, Mahmoud H. Ismail, Hazim Tawfik

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

Stable Throughput Region of Cognitive-Relay Networks with Imperfect Sensing and Finite Relaying Buffer.

Ahmed M. Alaa

CoRR, 2014

Band-Sweeping M-ary PSK (BS-M-PSK) Modulation and Transceiver Design.

Ahmed M. Alaa

CoRR, 2014

Defeating the Eavesdropper: On the Achievable Secrecy Capacity using Reconfigurable Antennas.

Ahmed M. Alaa

CoRR, 2014

Spectrum sensing via reconfigurable antennas: Is cooperation of secondary users indispensable?

Ahmed M. Alaa, Mahmoud H. Ismail, Hazim Tawfik

Proceedings of the IEEE Wireless Communications and Networking Conference, 2014

On the capacity of the underwater acoustic channel with dominant noise sources.

Mustafa A. Kishk, Ahmed M. Alaa

Proceedings of the IEEE 2nd International Symposium on Telecommunication Technologies, 2014

A globally optimal Neyman-Pearson test for hard decisions fusion in cooperative spectrum sensing.

Ahmed M. Alaa, Omar A. Nasr

Proceedings of the International Conference on Computing, Networking and Communications, 2014