A lot of ink has been spilled on the question of what will ultimately win: the scientific method, an approach to learning about the world by coming up with theories and testing those theories ...

Cellular simultaneous recurrent neural network (SRN) has been shown to be a function approximator more powerful than the multilayer perceptron (MLP). This means that the complexity of MLP would be ...

To address this, they propose several solutions and make significant contributions to the field. First, they demonstrate that SigmoidAttn is a universal function approximator for sequence-to-sequence ...

Traditional shrinkage methods impose restrictive forms or optimize statistical proxies rather than the portfolio objective, limiting efficacy. UPSA overcomes these limitations by providing a universal ...

Feed-forward neural networks (NNs) are a staple machine learning method widely used in many areas of science and technology, including physical chemistry, computational chemistry, and materials ...

On the other hand, we provide technical tools. We provide a new loss function, evaluation metrics, and the first universal approximating network that provably produces survival curves without numeric ...