Recent other studies, on the other hand, have shown that CNN-based sequence synthesis can be much faster than RNN-based techniques, because of high parallelizability. The objective of this paper is to ...

Abstract: Simulated Adiabatic Bifurcation (aSB) is a quantum-inspired algorithm that provides approximate solutions for large-scale optimization problems using the Ising model. It emulates the quantum ...

The RWKV model series combines transformer parallelizability during training with RNN-like recurrent state representation. RWKV has evolved through multiple iterations, from the foundational RWKV-4 to ...

Recommendation systems are crucial for helping users discover relevant items within massive collections, such as the millions of products available on Amazon or the vast library of music on Spotify ...

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However, we can offload the polar grid construction and interpolation to other threads, allowing for parallelizability during radial regression model training. To achieve this, we propose a new ...