After fine-tuning, the VGG16 convolutional neural network outperformed other deep learning models in 2 of 3 key ...

Research team designed PBCounter, a weighted model counting solver for pseudo-Boolean formulas. It uses variable elimination and dynamic programming with ADDs, outperforming state-of-the-art CNF-based ...

titled “NdLinear Is All You Need for Representation Learning,” introduces a powerful new approach to linear layers in neural networks. At the heart of every deep learning model — whether it ...

AlphaQubit, a recurrent-transformer neural network, outperforms state-of-the-art decoders in quantum error correction, enhancing surface code decoding accuracy.