371 citations · 761 across the 30 of their papers we have counts for
35 papers
How Should Transformers Encode Numeric Values in Electronic Health Records?
Maria Elkjær Montgomery, Christian Igel, Mikkel Odgaard +2
How do we encode numeric values in transformer-based sequence processing, particularly in electronic health record (EHR) data? We systematically compare discrete, continuous, and h…
Efficiency is Not Enough: A Critical Perspective of Environmentally Sustainable AI
Dustin Wright, Christian Igel, Gabrielle Samuel +1
Artificial intelligence (AI) is currently spearheaded by machine learning (ML) methods such as deep learning which have accelerated progress on many tasks thought to be out of reac…
Smooth Min-Max Monotonic Networks
Christian Igel
Monotonicity constraints are powerful regularizers in statistical modelling. They can support fairness in computer-aided decision making and increase plausibility in data-driven sc…
BuildSeg: A General Framework for the Segmentation of Buildings
Lei Li, Tianfang Zhang, Stefan Oehmcke +2
Building segmentation from aerial images and 3D laser scanning (LiDAR) is a challenging task due to the diversity of backgrounds, building textures, and image quality. While curren…
LR-CSNet: Low-Rank Deep Unfolding Network for Image Compressive Sensing
Tianfang Zhang, Lei Li, Christian Igel +3
Deep unfolding networks (DUNs) have proven to be a viable approach to compressive sensing (CS). In this work, we propose a DUN called low-rank CS network (LR-CSNet) for natural ima…
Self-Supervised Speech Representation Learning: A Review
Abdelrahman Mohamed, Hung-yi Lee, Lasse Borgholt +9
Although supervised deep learning has revolutionized speech and audio processing, it has necessitated the building of specialist models for individual tasks and application scenari…