Quantum neural networks (QNNs) and quantum kernels stand as prominent fi...
High-dimensional compositional data are prevalent in many applications. ...
Federated learning, where algorithms are trained across multiple
decentr...
Many real-world objects can be modeled as a stream of events on the node...
Overparametrized neural networks, where the number of active parameters ...