632 citations · 1.7k across the 18 of their papers we have counts for
10 papers · 1 filter
Causal Integrated Gradients: Scalable Feature Attribution Along Causal Paths
Joran Michiels, Anis Ismail, Maarten De Vos +1
Existing feature attribution methods that account for feature dependencies do not scale to high dimensions. We propose causal integrated gradients (CIG) and causal expected gradien…
SynIB: Informational Bottleneck for Maximizing Synergy in Multimodal Learning
Konstantinos Kontras, Teodora Gagaleska, Thomas Strypsteen +4
A central objective in multimodal learning is to capture synergy: task-relevant information that arises only from the joint use of multiple modalities, and is not available from an…
Explaining the Model and Feature Dependencies by Decomposition of the Shapley Value
Joran Michiels, Maarten De Vos, Johan Suykens
Shapley values have become one of the go-to methods to explain complex models to end-users. They provide a model agnostic post-hoc explanation with foundations in game theory: what…
Estimation of Continuous Blood Pressure from PPG via a Federated Learning Approach
Eoin Brophy, Maarten De Vos, Geraldine Boylan +1
Ischemic heart disease is the highest cause of mortality globally each year. This not only puts a massive strain on the lives of those affected but also on the public healthcare sy…
Change Point Detection in Time Series Data using Autoencoders with a Time-Invariant Representation
Tim De Ryck, Maarten De Vos, Alexander Bertrand
Change point detection (CPD) aims to locate abrupt property changes in time series data. Recent CPD methods demonstrated the potential of using deep learning techniques, but often…
Personalized Automatic Sleep Staging with Single-Night Data: a Pilot Study with KL-Divergence Regularization
Huy Phan, Kaare Mikkelsen, Oliver Y. Chén +4
Brain waves vary between people. An obvious way to improve automatic sleep staging for longitudinal sleep monitoring is personalization of algorithms based on individual characteri…