GitHub

redner: Differentiable rendering without approximation

redner is a differentiable renderer that can take the derivatives of rendering outputs with respect to arbitrary scene parameters, that is, you can backpropagate from the image to your 3D scene. One ...
IEEE

Design of the Inverse Function Delayed Neural Network for Solving Combinatorial Optimization Problems

Abstract: We have already proposed the inverse function delayed (ID) model as a novel neuron model. The ID model has a negative resistance similar to Bonhoeffer-van der Pol (BVP) model and the network ...
IEEE

Graph Convolutional Networks for Model-Based Learning in Nonlinear Inverse Problems

Abstract: The majority of model-based learned image reconstruction methods in medical imaging have been limited to uniform domains, such as pixelated images. If the underlying model is solved on ...
GitHub

Struct2GO:protein function prediction based on Graph pooling algorithm and AlphaFold2 structure information

Struct2GO is a protein function prediction model based on self-attention graph pooling, which utilizes structural information from AlphaFold2 to augment the accuracy and generality of the model's ...
World Scientific

Advanced Calculus

An authorised reissue of the long out of print classic textbook, Advanced Calculus by the late Dr Lynn Loomis and Dr Shlomo Sternberg both of Harvard University has been a revered but hard to find ...