Mary-Anne Hartley

22 papers A* 1Journal 18Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Fairness-Aware Partial-label Domain Adaptation for Voice Classification of Parkinson's and ALS. CoRR Arianna Francesconi, Zhixiang Dai, Arthur Stefano Moscheni, Himesh Morgan Perera Kanattage, Donato Cappetta, Fabio Rebecchi, Paolo Soda, Valerio Guarrasi, Rosa Sicilia, Mary-Anne Hartley
2025	J	`jnl`	DISCO: A Browser-Based Privacy-Preserving Framework for Distributed Collaborative Learning. CoRR Julien Tuan Tu Vignoud, Valérian Rousset, Hugo El Guedj, Ignacio Aleman, Walid Bennaceur, Batuhan Faik Derinbay, Eduard Durech, Damien Gengler, Lucas Giordano, Felix Grimberg, Franziska Lippoldt, Christina Kopidaki, Jiafan Liu, Lauris Lopata, Nathan Maire, Paul Mansat, Martin Milenkoski, Emmanuel Omont, Günes Özgün, Mina Petrovic, Francesco Posa, Morgan Ridel, Giorgio Savini, Marcel Torne, Lucas Trognon, Alyssa Unell, Olena Zavertiaieva, Sai Praneeth Karimireddy, Tahseen Rabbani, Mary-Anne Hartley, Martin Jaggi
2025	J	`jnl`	MMORE: Massive Multimodal Open RAG & Extraction. CoRR Alexandre Sallinen, Stefan Krsteski, Paul Teiletche, Marc-Antoine Allard, Baptiste Lecoeur, Michael Zhang, Fabrice Nemo, David Kalajdzic, Matthias Meyer, Mary-Anne Hartley
2025	J	`jnl`	TimEHR: Image-Based Time Series Generation for Electronic Health Records. IEEE J. Biomed. Health Informatics Hojjat Karami, Mary-Anne Hartley, David Atienza, Anisoara Ionescu
2024	—	`conf`	Efficient Classification of Histopathology Images Using Highly Imbalanced Data. ICPR (2) Mohammad Iqbal Nouyed, Mary-Anne Hartley, Gianfranco Doretto, Donald A. Adjeroh
2024	J	`jnl`	Efficient Classification of Histopathology Images. CoRR Mohammad Iqbal Nouyed, Mary-Anne Hartley, Gianfranco Doretto, Donald A. Adjeroh
2024	J	`jnl`	HashEvict: A Pre-Attention KV Cache Eviction Strategy using Locality-Sensitive Hashing. CoRR Minghui Liu, Tahseen Rabbani, Tony O'Halloran, Ananth Sankaralingam, Mary-Anne Hartley, Brian J. Gravelle, Furong Huang, Cornelia Fermüller, Yiannis Aloimonos
2024	J	`jnl`	MyThisYourThat for interpretable identification of systematic bias in federated learning for biomedical images. npj Digit. Medicine Klavdiia Naumova, Arnout Devos, Sai Praneeth Karimireddy, Martin Jaggi, Mary-Anne Hartley
2024	—	`conf`	TabSeq: A Framework for Deep Learning on Tabular Data via Sequential Ordering. ICPR (4) Al-Zadid Sultan Bin Habib, Kesheng Wang, Mary-Anne Hartley, Gianfranco Doretto, Donald A. Adjeroh
2024	J	`jnl`	TabSeq: A Framework for Deep Learning on Tabular Data via Sequential Ordering. CoRR Al-Zadid Sultan Bin Habib, Kesheng Wang, Mary-Anne Hartley, Gianfranco Doretto, Donald A. Adjeroh
2024	J	`jnl`	TimEHR: Image-based Time Series Generation for Electronic Health Records. CoRR Hojjat Karami, Mary-Anne Hartley, David Atienza, Anisoara Ionescu
2024	J	`jnl`	Towards Independence Criterion in Machine Unlearning of Features and Labels. CoRR Ling Han, Nanqing Luo, Hao Huang, Jing Chen, Mary-Anne Hartley
2024	J	`jnl`	Unlearning Information Bottleneck: Machine Unlearning of Systematic Patterns and Biases. CoRR Ling Han, Hao Huang, Dustin Scheinost, Mary-Anne Hartley, María Rodríguez Martínez
2023	J	`jnl`	DeepBreath - automated detection of respiratory pathology from lung auscultation in 572 pediatric outpatients across 5 countries. npj Digit. Medicine 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
2023	J	`jnl`	MEDITRON-70B: Scaling Medical Pretraining for Large Language Models. CoRR 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
2023	A*	`conf`	MultiMoDN - Multimodal, Multi-Task, Interpretable Modular Networks. NeurIPS Vinitra Swamy, Malika Satayeva, Jibril Frej, Thierry Bossy, Thijs Vogels, Martin Jaggi, Tanja Käser, Mary-Anne Hartley
2023	J	`jnl`	MultiModN- Multimodal, Multi-Task, Interpretable Modular Networks. CoRR Vinitra Swamy, Malika Satayeva, Jibril Frej, Thierry Bossy, Thijs Vogels, Martin Jaggi, Tanja Käser, Mary-Anne Hartley
2022	J	`jnl`	Modular Clinical Decision Support Networks (MoDN) - Updatable, Interpretable, and Portable Predictions for Evolving Clinical Environments. CoRR Cécile Trottet, Thijs Vogels, Martin Jaggi, Mary-Anne Hartley
2021	J	`jnl`	IFedAvg: Interpretable Data-Interoperability for Federated Learning. CoRR David Roschewitz, Mary-Anne Hartley, Luca Corinzia, Martin Jaggi
2021	J	`jnl`	Optimal Model Averaging: Towards Personalized Collaborative Learning. CoRR Felix Grimberg, Mary-Anne Hartley, Sai Praneeth Karimireddy, Martin Jaggi
2021	J	`jnl`	WAFFLE: Weighted Averaging for Personalized Federated Learning. CoRR Martin Beaussart, Felix Grimberg, Mary-Anne Hartley, Martin Jaggi
2020	—	`conf`	Weight Erosion: An Update Aggregation Scheme for Personalized Collaborative Machine Learning. DART/DCL@MICCAI Felix Grimberg, Mary-Anne Hartley, Martin Jaggi, Sai Praneeth Karimireddy