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Consensus, dissensus and synergy between clinicians and specialist foundation models in radiology report generation., , , , , , , , , and 13 other author(s). CoRR, (2023)Federated Variational Inference: Towards Improved Personalization and Generalization., , , , , and . CoRR, (2023)A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models., , , , , , , , , and 20 other author(s). CoRR, (2024)Towards Expert-Level Medical Question Answering with Large Language Models., , , , , , , , , and 21 other author(s). CoRR, (2023)Disentangling the Effects of Data Augmentation and Format Transform in Self-Supervised Learning of Image Representations., , , , , and . CoRR, (2023)SASSL: Enhancing Self-Supervised Learning via Neural Style Transfer., , , , , and . CoRR, (2023)What Do We Mean by Generalization in Federated Learning?, , , and . ICLR, OpenReview.net, (2022)A Field Guide to Federated Optimization., , , , , , , , , and 43 other author(s). CoRR, (2021)Random Field Augmentations for Self-Supervised Representation Learning., , , and . CoRR, (2023)Mixed Federated Learning: Joint Decentralized and Centralized Learning., , , , , , and . CoRR, (2022)