Finally understand how encoder blocks work in transformers, with a step-by-step guide that makes it all click. #AI #EncoderDecoder #NeuralNetworks Gov. Whitmer Responds as Trump Considers Kidnap ...

Deep learning based on transformer architecture for power system short-term voltage stability assessment with class imbalance. Renew Sustain Energy Rev. (2024) 189:113913. doi: ...

Autoencoder-based feature learning provided notable results, illustrating that unsupervised approaches can be profitably combined with supervised classifiers. Crucially, the split learning ...

A new technical paper titled “Accelerating OTA Circuit Design: Transistor Sizing Based on a Transformer Model and Precomputed Lookup Tables” was published by University Minnesota and Cadence. Abstract ...

A Convolutional Variational Autoencoder (CVAE) was developed for this purpose. We demonstrate the efficacy of our approach using the transient data generated from the simulations. The simulation data ...

AI21 labs release of Jamba which is a hybrid transformer-Mamba MoE model. It is the first production-grade Mamba-based model with elements of traditional transformer architecture.

A long-term time series forecasting (LTSF) model named LTScoder based on a linear autoencoder architecture is presented in this paper. LTScoder performs feature extraction through an encoder to ...