Artificial intelligence (AI) and algorithmic decision making are having a profound impact on
our daily lives. These systems are vastly used in different high-stakes applications like …

The use and creation of machine‐learning‐based solutions to solve problems or reduce
their computational costs are becoming increasingly widespread in many domains. Deep …

Artificial intelligence (AI) is currently being utilized in a wide range of sophisticated
applications, but the outcomes of many AI models are challenging to comprehend and trust …

Deep learning has recently seen rapid development and received significant attention due
to its state-of-the-art performance on previously-thought hard problems. However, because …

While deep learning models have achieved state-of-the-art accuracies for many prediction
tasks, understanding these models remains a challenge. Despite the recent interest in …

Dimension reduction (DR) algorithms project data from high dimensions to lower
dimensions to enable visualization of interesting high-dimensional structure. DR algorithms …

Transformer models are revolutionizing machine learning, but their inner workings remain
mysterious. In this work, we present a new visualization technique designed to help …

t-Distributed Stochastic Neighbor Embedding (t-SNE) for the visualization of
multidimensional data has proven to be a popular approach, with successful applications in …

Machine learning (ML) has become increasingly influential to human society, yet the primary
advancements and applications of ML are driven by research in only a few computational …

Latent spaces—reduced‐dimensionality vector space embeddings of data, fit via machine
learning—have been shown to capture interesting semantic properties and support data …