State-space models (SSMs) offer a promising alternative due to their linear decoding efficiency andhigh parallelizability during training. However, existing SSMs often rely onseemingly ad hoc linear ...

Multi-head attention layers, as used in the Transformer neural sequencemodel, are a powerful alternative to RNNs for moving information across andbetween sequences. While training these layers is ...

NON-PARALLELIZABILITY OF THE n-SPHERE FOR n > 7Metrics Note: The article usage is presented with a three- to four-day delay and will update daily once available. Due to ths delay, usage data will not ...

This method maintains the efficiency and parallelizability inherent in SSMs and improves upon them. The result is a model that not only matches but, in some instances, surpasses the performance of its ...

pp. 147Automatic generation of work breakdown structures for evaluation of parallelizability of assembly sequences pp. 157Construction process time optimization of a reinforced concrete reaction slab ...