CEO Jeff Hirsch sees Starz joining the M&A fray with "marooned" linear networks that big owners might not value but could be repositioned for digital.

In this third video of our Transformer series, we’re diving deep into the concept of Linear Transformations in Self Attention. Linear Transformation is fundamental in Self Attention Mechanism, shaping ...

Abstract: Shuffled linear regression (SLR) seeks to estimate latent features through a linear transformation, complicated by unknown permutations in the measurement dimensions. This problem extends ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Implementations of matrix multiplication via diffusion and reactions, thus eliminating ...

Getting a clear understanding of the change happening to TV viewership in Europe today is anything but clear. Consider the confusing streaming saga of the FA Cup. According to the official FA ...

Purpose: This paper aims to review the literature on 12-lead ECG reconstruction, highlight various algorithmic approaches and evaluate their predictive strengths. In addition, it investigates the ...

The Transformer architecture revolutionised natural language processing with its self-attention mechanism, enabling parallel computation and effective context retrieval. However, Transformers face ...

Abstract: Recent years have witnessed the success of deep networks in compressed sensing (CS), which allows for a significant reduction in sampling cost and has gained growing attention since its ...

Hello. I am working on a project where we are building Pytorch Gaussian Process Models and converting them into ONNX format. (https://gpytorch.ai/). At runtime, some of these models need to perform ...