Jonathan Passerat-Palmbach
Orcid: 0000-0003-3178-9502
According to our database1,
Jonathan Passerat-Palmbach
authored at least 58 papers
between 2011 and 2025.
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Bibliography
2025
FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation.
CoRR, June, 2025
CoRR, June, 2025
2024
Efficient and Private: Memorisation under differentially private parameter-efficient fine-tuning in language models.
CoRR, 2024
Addressing Data Heterogeneity in Federated Learning with Adaptive Normalization-Free Feature Recalibration.
CoRR, 2024
Trust the Process: Zero-Knowledge Machine Learning to Enhance Trust in Generative AI Interactions.
CoRR, 2024
ARIA: On the Interaction Between Architectures, Initialization and Aggregation Methods for Federated Visual Classification.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
2023
ARIA: On the interaction between Architectures, Aggregation methods and Initializations in federated visual classification.
CoRR, 2023
CoRR, 2023
2022
Zen and the art of model adaptation: Low-utility-cost attack mitigations in collaborative machine learning.
Proc. Priv. Enhancing Technol., 2022
CoRR, 2022
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022
2021
Adversarial interference and its mitigations in privacy-preserving collaborative machine learning.
Nat. Mach. Intell., 2021
Nat. Mach. Intell., 2021
CoRR, 2021
2020
The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants.
NeuroImage, 2020
2CP: Decentralized Protocols to Transparently Evaluate Contributivity in Blockchain Federated Learning Environments.
CoRR, 2020
CoRR, 2020
A Systematic Comparison of Encrypted Machine Learning Solutions for Image Classification.
Proceedings of the PPMLP'20: Proceedings of the 2020 Workshop on Privacy-Preserving Machine Learning in Practice, 2020
Blockchain-orchestrated machine learning for privacy preserving federated learning in electronic health data.
Proceedings of the IEEE International Conference on Blockchain, 2020
2019
IEEE Trans. Medical Imaging, 2019
CoRR, 2019
2018
Multi-Atlas Segmentation Using Partially Annotated Data: Methods and Annotation Strategies.
IEEE Trans. Pattern Anal. Mach. Intell., 2018
The developing human connectome project: A minimal processing pipeline for neonatal cortical surface reconstruction.
NeuroImage, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
2017
DeepCut: Object Segmentation From Bounding Box Annotations Using Convolutional Neural Networks.
IEEE Trans. Medical Imaging, 2017
Reproducible Large-Scale Neuroimaging Studies with the OpenMOLE Workflow Management System.
Frontiers Neuroinformatics, 2017
Proceedings of the Functional Imaging and Modelling of the Heart, 2017
2016
NeuroImage, 2016
DeepCut: Object Segmentation from Bounding Box Annotations using Convolutional Neural Networks.
CoRR, 2016
Proceedings of the Workshop on Brain Analysis using COnnectivity Networks - BACON 2016.
CoRR, 2016
2015
Harnessing aspect-oriented programming on GPU: application to warp-level parallelism.
Int. J. Comput. Aided Eng. Technol., 2015
Reliable Initialization of GPU-enabled Parallel Stochastic Simulations Using Mersenne Twister for Graphics Processors.
CoRR, 2015
CoRR, 2015
TaskLocalRandom: a statistically sound substitute to pseudorandom number generation in parallel java tasks frameworks.
Concurr. Comput. Pract. Exp., 2015
A Continuous Flow-Maximisation Approach to Connectivity-Driven Cortical Parcellation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015
Proceedings of the Information Processing in Medical Imaging, 2015
Multi-atlas Segmentation as a Graph Labelling Problem: Application to Partially Annotated Atlas Data.
Proceedings of the Information Processing in Medical Imaging, 2015
Model exploration using OpenMOLE a workflow engine for large scale distributed design of experiments and parameter tuning.
Proceedings of the 2015 International Conference on High Performance Computing & Simulation, 2015
2013
Contributions to parallel stochastic simulation: Application of good software engineering practices to the distribution of pseudorandom streams in hybrid Monte-Carlo simulations. (Contributions à la simulation stochastique parallèle: architectures logicielles pour la distribution de flux pseudo-aléatoires dans les simulations Monte Carlo sur CPU/GPU).
PhD thesis, 2013
Concurr. Comput. Pract. Exp., 2013
Parallel stepwise stochastic simulation: harnessing GPUs to explore possible futures states of a chromosome folding model thanks to the possible futures algorithm (PFA).
Proceedings of the SIGSIM Principles of Advanced Discrete Simulation, 2013
Prototyping parallel simulations on manycore architectures using Scala: A case study.
Proceedings of the International Conference on High Performance Computing & Simulation, 2013
2012
J. Simulation, 2012
Parallel stochastic simulations with rigorous distribution of pseudo-random numbers with DistMe: Application to life science simulations.
Concurr. Comput. Pract. Exp., 2012
ThreadLocalMRG32k3a: A statistically sound substitute to pseudorandom number generation in parallel Java applications.
Proceedings of the 2012 International Conference on High Performance Computing & Simulation, 2012
How to correctly deal with pseudorandom numbers in manycore environments: Application to GPU programming with Shoverand.
Proceedings of the 2012 International Conference on High Performance Computing & Simulation, 2012
HPCS 2012 tutorials: Tutorial I: High performance computing in biomedical informatics.
Proceedings of the 2012 International Conference on High Performance Computing & Simulation, 2012
2011
Proceedings of the 25th ACM/IEEE/SCS Workshop on Principles of Advanced and Distributed Simulation, 2011
Proceedings of the 2011 International Conference on High Performance Computing & Simulation, 2011