Large Language Models (LLMs), such as the Generative Pretrained Transfor...
Model-based methods are widely used for reconstruction in compressed sen...
Steerable models can provide very general and flexible equivariance by
f...
Nesterov's well-known scheme for accelerating gradient descent in convex...
Forecasting plays a critical role in the development of organisational
b...
A merger of two optimization frameworks is introduced: SEquential Subspa...
Non-orthogonal multiple access (NOMA) is a promising spectrally-efficien...
Models play an important role in inverse problems, serving as the prior ...
Probabilistic load forecasts provide comprehensive information about fut...
The widespread popularity of smart meters enables an immense amount of
f...