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Laura Hannemose Rieger
Laura Hannemose Rieger
其他姓名Laura Rieger, Laura Simone Rieger
Technical University of Denmark - DTU
在 dtu.dk 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
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Interpretations are useful: penalizing explanations to align neural networks with prior knowledge
L Rieger, C Singh, W Murdoch, B Yu
International conference on machine learning, 8116-8126, 2020
2282020
A simple defense against adversarial attacks on heatmap explanations
L Rieger, LK Hansen
2020 Workshop on Human Interpretability in Machine Learning (WHI), 2020
58*2020
Interpretability in intelligent systems–a new concept?
LK Hansen, L Rieger
Explainable AI: Interpreting, Explaining and Visualizing Deep Learning, 41-49, 2019
492019
IROF: a low resource evaluation metric for explanation methods
L Rieger, LK Hansen
Workshop AI for Affordable Healthcare at ICLR 2020, Addis Ababa, Ethiopia, 2020
452020
Uncertainty-aware and explainable machine learning for early prediction of battery degradation trajectory
LH Rieger, E Flores, KF Nielsen, P Norby, E Ayerbe, O Winther, T Vegge, ...
Digital Discovery 2 (1), 112-122, 2023
152023
Structuring neural networks for more explainable predictions
L Rieger, P Chormai, G Montavon, LK Hansen, KR Müller
Explainable and Interpretable Models in Computer Vision and Machine Learning …, 2018
152018
Client Adaptation improves Federated Learning with Simulated Non-IID Clients
L Rieger, RMT Høegh, LK Hansen
International Workshop on Federated Learning for User Privacy and Data …, 2020
42020
Separable explanations of neural network decisions
L Rieger
NIPS 2017 Workshop on Interpretable Machine Learning, 2017
32017
Tunnel effect in CNNS: image reconstruction from max switch locations
MLR Saint Andre, L Rieger, M Hannemose, J Kim
IEEE Signal Processing Letters 24 (3), 254-258, 2016
22016
Autonomous battery optimisation by deploying distributed experiments and simulations
M Vogler, S Steensen, F Ramirez, L Merker, J Busk, JM Carlsson, ...
12024
Understanding the patterns that neural networks learn from chemical spectra
LH Rieger, M Wilson, T Vegge, E Flores
Digital Discovery 2 (6), 1957-1968, 2023
12023
Unravelling degradation mechanisms and overpotential sources in aged and non-aged batteries: A non-invasive diagnosis
WA Appiah, LH Rieger, E Flores, T Vegge, A Bhowmik
Journal of Energy Storage 84, 111000, 2024
2024
PerQueue: managing complex and dynamic workflows
BH Sjølin, WS Hansen, AA Morin-Martinez, MH Petersen, LH Rieger, ...
Digital Discovery, 2024
2024
Explainability for neural networks
L Rieger
Technical University of Denmark, 2020
2020
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