Abstract: Generic matrix multiplication (GEMM) and convolution (CONV)/cross-correlation kernels often constitute the bulk of the compute- and memory-intensive processing within image/audio recognition ...

In the past few decades, multi-linear algebra also known as tensor algebra has been adapted and employed as a tool for various engineering applications. Recent developments in tensor algebra have ...

Introduction: Using MRI to synthesize CT and substitute its function in radiation therapy has drawn wide research interests. Currently, deep learning models have become the first choice for MRI—CT ...

Matrix multiplication is essential for the functioning of neural networks in machine learning. Deep learning relies heavily on basic arithmetic operations like addition and multiplication. Large ...

Currently, only 4-D input tensors (batched image-like tensors) are supported. unfoldNd implements the operation for 3d and 5d inputs and shows good performance. Like torch.nn.Fold, but supports 3d, 4d ...