Recent advancements in areas such as natural language processing and computer vision
rely on intricate and massive models that have been trained using vast amounts of …

Federated learning (FL) is a distributed machine learning paradigm for edge cloud
computing. FL can facilitate data-driven decision-making in tactical scenarios, effectively …

The recent advances in image transformers have shown impressive results and have largely
closed the gap between traditional CNN architectures. The standard procedure is to train on …

This paper introduces Elegans-AI models, a class of neural networks that leverage the
connectome topology of the Caenorhabditis elegans to design deep and reservoir …

Certified defense methods against adversarial perturbations have been recently
investigated in the black-box setting with a zeroth-order (ZO) perspective. However, these …

In the field of computer vision, image classification has been aiding in the understanding
and labeling of images. Machine learning and artificial intelligence algorithms, especially …

This research report introduces ElegansNet, a neural network that mimics real-world
neuronal network circuitry, with the goal of better understanding the interplay between …

Generative modeling and adversarial learning have significantly advanced the field of
computer vision, particularly in object recognition and synthesis, unsupervised domain …

This paper presents ElegansAI, a neural network model that leverages the connectome
topology of the Caenorhabditis elegans to design and generate advanced learning systems …