To address this, a deep learning-based soft sensing method is proposed, combining an array conductance sensor with a novel Dual CNN-Transformer Mixture Neural Network (DCTMNN). The model incorporates ...

On the one hand, task-agnostic transformers pre-trained on large-scale biological databases capture generalizable representations but cannot characterize intricate relationships between genes and ...

conda create -n tnp python=3.12 conda activate tnp pip install -r requirements.txt pip install -e . Here we train the Swin-TNP using the pseudo-token grid encoder (PT ...

RenderFormer is a neural rendering pipeline that directly renders an image ... Both stages are based on the transformer architecture and are learned with minimal prior constraints. We demonstrate and ...