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pro vyhledávání: '"Chaudhry, Zan"'
Autor:
Chaudhry, Zan
We introduce an algorithm for efficiently representing convolution with zero-padding and stride as a sparse transformation matrix, applied to a vectorized input through sparse matrix-vector multiplication (SpMV). We provide a theoretical contribution
Externí odkaz:
http://arxiv.org/abs/2411.19419
Autor:
Iskarous, Mark M., Chaudhry, Zan, Li, Fangjie, Bello, Samuel, Sankar, Sriramana, Slepyan, Ariel, Chugh, Natasha, Hunt, Christopher L., Greene, Rebecca J., Thakor, Nitish V.
Humans have an exquisite sense of touch which robotic and prosthetic systems aim to recreate. We developed algorithms to create neuron-like (neuromorphic) spiking representations of texture that are invariant to the scanning speed and contact force a
Externí odkaz:
http://arxiv.org/abs/2411.17060
ExpTest: Automating Learning Rate Searching and Tuning with Insights from Linearized Neural Networks
Autor:
Chaudhry, Zan, Mizuno, Naoko
Hyperparameter tuning remains a significant challenge for the training of deep neural networks (DNNs), requiring manual and/or time-intensive grid searches, increasing resource costs and presenting a barrier to the democratization of machine learning
Externí odkaz:
http://arxiv.org/abs/2411.16975