Convolutional neural networks (CNNs) and vision transformers (ViT) have
...
Deep learning-based super-resolution models have the potential to
revolu...
Information Bottlenecks (IBs) learn representations that generalize to u...
Modern power systems are experiencing a variety of challenges driven by
...
Causal discovery (CD) from time-varying data is important in neuroscienc...
Deep neural networks implement a sequence of layer-by-layer operations t...
With the reduction of sequencing costs and the pervasiveness of computin...
The WARC file format is widely used by web archives to preserve collecte...
We propose a system to develop a basic automatic speech recognizer(ASR) ...
Spatial data about individuals or businesses is often aggregated over
po...