32 citations · 88 across the 23 of their papers we have counts for
5 papers · 1 filter
Partially Oblivious Neural Network Inference
Panagiotis Rizomiliotis, Christos Diou, Aikaterini Triakosia +2
Oblivious inference is the task of outsourcing a ML model, like neural-networks, without disclosing critical and sensitive information, like the model's parameters. One of the most…
DALE: Differential Accumulated Local Effects for efficient and accurate global explanations
Vasilis Gkolemis, Theodore Dalamagas, Christos Diou
Accumulated Local Effect (ALE) is a method for accurately estimating feature effects, overcoming fundamental failure modes of previously-existed methods, such as Partial Dependence…
An evaluation framework for comparing causal inference models
Niki Kiriakidou, Christos Diou
Estimation of causal effects is the core objective of many scientific disciplines. However, it remains a challenging task, especially when the effects are estimated from observatio…
A Domain Generalization Approach for Out-Of-Distribution 12-lead ECG Classification with Convolutional Neural Networks
Aristotelis Ballas, Christos Diou
Deep Learning systems have achieved great success in the past few years, even surpassing human intelligence in several cases. As of late, they have also established themselves in t…
Multi-layer Representation Learning for Robust OOD Image Classification
Aristotelis Ballas, Christos Diou
Convolutional Neural Networks have become the norm in image classification. Nevertheless, their difficulty to maintain high accuracy across datasets has become apparent in the past…