Mary-Anne Hartley

According to our database, Mary-Anne Hartley authored at least 15 papers between 2020 and 2024.

Collaborative distances:

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

2024

MyThisYourThat for interpretable identification of systematic bias in federated learning for biomedical images.

Klavdiia Naumova, Arnout Devos, Sai Praneeth Karimireddy, Martin Jaggi, Mary-Anne Hartley

npj Digit. Medicine, 2024

Efficient Classification of Histopathology Images.

Mohammad Iqbal Nouyed, Mary-Anne Hartley, Gianfranco Doretto, Donald A. Adjeroh

CoRR, 2024

Unlearning Information Bottleneck: Machine Unlearning of Systematic Patterns and Biases.

Ling Han, Hao Huang, Dustin Scheinost, Mary-Anne Hartley, María Rodríguez Martínez

CoRR, 2024

Towards Independence Criterion in Machine Unlearning of Features and Labels.

Ling Han, Nanqing Luo, Hao Huang, Jing Chen, Mary-Anne Hartley

CoRR, 2024

TimEHR: Image-based Time Series Generation for Electronic Health Records.

Hojjat Karami, Mary-Anne Hartley, David Atienza, Anisoara Ionescu

CoRR, 2024

Efficient Classification of Histopathology Images Using Highly Imbalanced Data.

Mohammad Iqbal Nouyed, Mary-Anne Hartley, Gianfranco Doretto, Donald A. Adjeroh

Proceedings of the Pattern Recognition - 27th International Conference, 2024

TabSeq: A Framework for Deep Learning on Tabular Data via Sequential Ordering.

Al-Zadid Sultan Bin Habib, Kesheng Wang, Mary-Anne Hartley, Gianfranco Doretto, Donald A. Adjeroh

Proceedings of the Pattern Recognition - 27th International Conference, 2024

2023

DeepBreath - automated detection of respiratory pathology from lung auscultation in 572 pediatric outpatients across 5 countries.

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

npj Digit. Medicine, 2023

MEDITRON-70B: Scaling Medical Pretraining for Large Language Models.

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

CoRR, 2023

MultiMoDN - Multimodal, Multi-Task, Interpretable Modular Networks.

Vinitra Swamy, Malika Satayeva, Jibril Frej, Thierry Bossy, Thijs Vogels, Martin Jaggi, Tanja Käser, Mary-Anne Hartley

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

2022

Modular Clinical Decision Support Networks (MoDN) - Updatable, Interpretable, and Portable Predictions for Evolving Clinical Environments.

Cécile Trottet, Thijs Vogels, Martin Jaggi, Mary-Anne Hartley

CoRR, 2022

2021

Optimal Model Averaging: Towards Personalized Collaborative Learning.

Felix Grimberg, Mary-Anne Hartley, Sai Praneeth Karimireddy, Martin Jaggi

CoRR, 2021

WAFFLE: Weighted Averaging for Personalized Federated Learning.

Martin Beaussart, Felix Grimberg, Mary-Anne Hartley, Martin Jaggi

CoRR, 2021

IFedAvg: Interpretable Data-Interoperability for Federated Learning.

David Roschewitz, Mary-Anne Hartley, Luca Corinzia, Martin Jaggi

CoRR, 2021

2020

Weight Erosion: An Update Aggregation Scheme for Personalized Collaborative Machine Learning.

Felix Grimberg, Mary-Anne Hartley, Martin Jaggi, Sai Praneeth Karimireddy

Proceedings of the Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning, 2020