Due to the proliferation of biomedical imaging modalities, such as Photoacoustic
Tomography, Computed Tomography (CT), Optical Microscopy and Tomography, etc …

There are now over 20 commercial vector database management systems (VDBMSs), all
produced within the past five years. But embedding-based retrieval has been studied for …

The concept of biological adaptation was closely connected to some mathematical,
engineering and physical ideas from the very beginning. Cannon in his “The wisdom of the …

Dealing with uncertainty in applications of machine learning to real-life data critically
depends on the knowledge of intrinsic dimensionality (ID). A number of methods have been …

The decentralized and privacy-preserving nature of federated learning (FL) makes it
vulnerable to backdoor attacks aiming to manipulate the behavior of the resulting model on …

Feature vectors are now mission-critical for many applications, including retrieval-based
large language models (LLMs). Traditional database management systems are not …

Laser-induced breakdown spectroscopy (LIBS) is a well-established industrial tool with
emerging relevance in high-stakes applications. To achieve its required analytical …

Code models have made significant advancements in code intelligence by encoding
knowledge about programming languages. While previous studies have explored the …

This work is driven by a practical question: corrections of Artificial Intelligence (AI) errors.
These corrections should be quick and non-iterative. To solve this problem without …

Domain adaptation is a popular paradigm in modern machine learning which aims at
tackling the problem of divergence (or shift) between the labeled training and validation …