And Schafmeister isn’t the only chemist turning to modular methods of synthesis to explore vast regions of chemical space. It ...
Abstract: We propose a supervised learning model that enables error backpropagation for spiking neural network hardware. The method is modeled by modifying an ...
Practical implementation of an astoundingly simple method for self-supervised learning that achieves a new state of the art (surpassing SimCLR) without contrastive learning and having to designate ...
We welcome contributions to Trax! We welcome PRs with code for new models and layers as well as improvements to our code and documentation. We especially love notebooks that explain how models work ...
Abstract: Point cloud denoising is a fundamental task in 3D geometric processing. Existing learning–based methods typically supervised training on synthesized noise, aiming to recover the perturbation ...
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