Deep Learning
Unfolding recurrence by Green's functions for optimized reservoir computing Sandra Nestler
Cortical networks are strongly recurrent, and neurons have intrinsic temporal dynamics.
Acknowledgments
Do the main claims made in the abstract and introduction accurately reflect the paper's
Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors
Ordering determined by a coin flip.
Unfolding Taylor's Approximations for Image Restoration Man Zhou
To solve the above problems, inspired by T aylor's Approximations, we unfold Taylor's Formula to construct a novel framework for image restoration.
Outsourcing Training without Uploading Data via Efficient Collaborative Open-Source Sampling
As deep learning blooms with growing demand for computation and data resources, outsourcing model training to a powerful cloud server becomes an attractive alternative to training at a low-power and cost-effective end device.
Outsourcing Training without Uploading Data via Efficient Collaborative Open-Source Sampling
As deep learning blooms with growing demand for computation and data resources, outsourcing model training to a powerful cloud server becomes an attractive alternative to training at a low-power and cost-effective end device.