196 citations · 1.1k across the 20 of their papers we have counts for
5 papers · 1 filter
COVID-BLUeS -- A Prospective Study on the Value of AI in Lung Ultrasound Analysis
Nina Wiedemann, Dianne de Korte-de Boer, Matthias Richter +10
As a lightweight and non-invasive imaging technique, lung ultrasound (LUS) has gained importance for assessing lung pathologies. The use of Artificial intelligence (AI) in medical…
Towards generalizable single-cell perturbation modeling via the Conditional Monge Gap
Alice Driessen, Benedek Harsanyi, Marianna Rapsomaniki +1
Learning the response of single-cells to various treatments offers great potential to enable targeted therapies. In this context, neural optimal transport (OT) has emerged as a pri…
We Need Improved Data Curation and Attribution in AI for Scientific Discovery
Mara Graziani, Antonio Foncubierta, Dimitrios Christofidellis +5
As the interplay between human-generated and synthetic data evolves, new challenges arise in scientific discovery concerning the integrity of the data and the stability of the mode…
Quantum Doubly Stochastic Transformers
Jannis Born, Filip Skogh, Kahn Rhrissorrakrai +3
At the core of the Transformer, the softmax normalizes the attention matrix to be right stochastic. Previous research has shown that this often de-stabilizes training and that enfo…
Multiscale Byte Language Models -- A Hierarchical Architecture for Causal Million-Length Sequence Modeling
Eric Egli, Matteo Manica, Jannis Born
Bytes form the basis of the digital world and thus are a promising building block for multimodal foundation models. Recently, Byte Language Models (BLMs) have emerged to overcome t…