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Mihaela van der Schaar

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Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples

Oct 11, 2023
Hao Sun, Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar

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Redefining Digital Health Interfaces with Large Language Models

Oct 05, 2023
Fergus Imrie, Paulius Rauba, Mihaela van der Schaar

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L2MAC: Large Language Model Automatic Computer for Unbounded Code Generation

Oct 02, 2023
Samuel Holt, Max Ruiz Luyten, Mihaela van der Schaar

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Query-Dependent Prompt Evaluation and Optimization with Offline Inverse RL

Sep 29, 2023
Hao Sun, Alihan Hüyük, Mihaela van der Schaar

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Soft Mixture Denoising: Beyond the Expressive Bottleneck of Diffusion Models

Sep 28, 2023
Yangming Li, Boris van Breugel, Mihaela van der Schaar

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Do Diffusion Models Suffer Error Propagation? Theoretical Analysis and Consistency Regularization

Aug 09, 2023
Yangming Li, Zhaozhi Qian, Mihaela van der Schaar

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Interpretable Medical Diagnostics with Structured Data Extraction by Large Language Models

Jun 08, 2023
Aleksa Bisercic, Mladen Nikolic, Mihaela van der Schaar, Boris Delibasic, Pietro Lio, Andrija Petrovic

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Accounting For Informative Sampling When Learning to Forecast Treatment Outcomes Over Time

Jun 07, 2023
Toon Vanderschueren, Alicia Curth, Wouter Verbeke, Mihaela van der Schaar

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U-PASS: an Uncertainty-guided deep learning Pipeline for Automated Sleep Staging

Jun 07, 2023
Elisabeth R. M. Heremans, Nabeel Seedat, Bertien Buyse, Dries Testelmans, Mihaela van der Schaar, Maarten De Vos

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Learning Representations without Compositional Assumptions

May 31, 2023
Tennison Liu, Jeroen Berrevoets, Zhaozhi Qian, Mihaela van der Schaar

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