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2020 – today
- 2024
[j2]Klavdiia Naumova
, Arnout Devos, Sai Praneeth Karimireddy, Martin Jaggi, Mary-Anne Hartley:
MyThisYourThat for interpretable identification of systematic bias in federated learning for biomedical images. npj Digit. Medicine 7(1) (2024)- [i10]Hojjat Karami, Mary-Anne Hartley, David Atienza, Anisoara Ionescu:
TimEHR: Image-based Time Series Generation for Electronic Health Records. CoRR abs/2402.06318 (2024) - [i9]Ling Han, Nanqing Luo, Hao Huang, Jing Chen, Mary-Anne Hartley:
Towards Independence Criterion in Machine Unlearning of Features and Labels. CoRR abs/2403.08124 (2024) - [i8]Ling Han, Hao Huang, Dustin Scheinost, Mary-Anne Hartley, María Rodríguez Martínez:
Unlearning Information Bottleneck: Machine Unlearning of Systematic Patterns and Biases. CoRR abs/2405.14020 (2024) - [i7]Mohammad Iqbal Nouyed, Mary-Anne Hartley, Gianfranco Doretto, Donald A. Adjeroh:
Efficient Classification of Histopathology Images. CoRR abs/2409.13720 (2024) - 2023
- [j1]Julien Heitmann, Alban Glangetas, Jonathan Doenz, Juliane Dervaux, Deeksha M. Shama, Daniel Hinjos Garcia, Mohamed Rida Benissa, Aymeric Cantais, Alexandre Perez, Daniel Müller, Tatjana Chavdarova, Isabelle Ruchonnet-Metrailler, Johan N. Siebert, Laurence Lacroix, Martin Jaggi, Alain Gervaix, Mary-Anne Hartley, Florence Hugon, Derrick Fassbind, Makura Barro, Georges Bediang, N. E. L. Hafidi, M. Bouskraoui, Idrissa Ba:
DeepBreath - automated detection of respiratory pathology from lung auscultation in 572 pediatric outpatients across 5 countries. npj Digit. Medicine 6 (2023) - [c2]Vinitra Swamy, Malika Satayeva, Jibril Frej, Thierry Bossy, Thijs Vogels, Martin Jaggi, Tanja Käser, Mary-Anne Hartley:
MultiMoDN - Multimodal, Multi-Task, Interpretable Modular Networks. NeurIPS 2023 - [i6]Vinitra Swamy, Malika Satayeva, Jibril Frej, Thierry Bossy, Thijs Vogels, Martin Jaggi, Tanja Käser, Mary-Anne Hartley:
MultiModN- Multimodal, Multi-Task, Interpretable Modular Networks. CoRR abs/2309.14118 (2023) - [i5]Zeming Chen, Alejandro Hernández-Cano, Angelika Romanou, Antoine Bonnet, Kyle Matoba, Francesco Salvi, Matteo Pagliardini, Simin Fan, Andreas Köpf, Amirkeivan Mohtashami, Alexandre Sallinen, Alireza Sakhaeirad, Vinitra Swamy, Igor Krawczuk, Deniz Bayazit, Axel Marmet, Syrielle Montariol, Mary-Anne Hartley, Martin Jaggi, Antoine Bosselut:
MEDITRON-70B: Scaling Medical Pretraining for Large Language Models. CoRR abs/2311.16079 (2023) - 2022
- [i4]Cécile Trottet, Thijs Vogels, Martin Jaggi, Mary-Anne Hartley:
Modular Clinical Decision Support Networks (MoDN) - Updatable, Interpretable, and Portable Predictions for Evolving Clinical Environments. CoRR abs/2211.06637 (2022) - 2021
- [i3]David Roschewitz, Mary-Anne Hartley, Luca Corinzia, Martin Jaggi:
IFedAvg: Interpretable Data-Interoperability for Federated Learning. CoRR abs/2107.06580 (2021) - [i2]Martin Beaussart, Felix Grimberg, Mary-Anne Hartley, Martin Jaggi:
WAFFLE: Weighted Averaging for Personalized Federated Learning. CoRR abs/2110.06978 (2021) - [i1]Felix Grimberg, Mary-Anne Hartley, Sai Praneeth Karimireddy, Martin Jaggi:
Optimal Model Averaging: Towards Personalized Collaborative Learning. CoRR abs/2110.12946 (2021) - 2020
- [c1]Felix Grimberg, Mary-Anne Hartley, Martin Jaggi, Sai Praneeth Karimireddy:
Weight Erosion: An Update Aggregation Scheme for Personalized Collaborative Machine Learning. DART/DCL@MICCAI 2020: 160-169
Coauthor Index
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