A Geekbench listing has revealed what could be the Google Tensor G6 (codenamed “Kodiak”), featuring an unusual 7-core setup—one Arm C1-Ultra core at 4.11GHz, four C1-Pro cores at 3.38GHz, and two ...
Abstract: Recently, tensor network (TN) decompositions have gained prominence in computer vision and contributed promising results to tensor recovery for their capability of compactly and efficiently ...
Abstract: Dynamic mode decomposition (DMD) has emerged as a powerful data-driven technique for extracting dominant spatiotemporal patterns from complex signals. However, conventional DMD methods are ...
Decomposition is when we break a problem or task down into smaller parts to make it easier to tackle. Sometimes the problem is so big or so tricky that we don't know where to start. Breaking it down ...
A modular research codebase for short-term wind power forecasting using Variational Mode Decomposition (VMD) combined with a Convolutional Bidirectional LSTM with Multi-Head Attention ...
├── configs/ # Training configurations │ ├── rl_config.yaml │ ├── rl_explore_config.yaml │ └── sft_config.yaml ├── data/ │ ├── prepare_data.py # Download & preprocess HotPotQA + MATH-500 │ ├── ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results