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Augmenting conformers with structured state-space sequence models for online speech recognition
Online speech recognition, where the model only accesses context to the left, is an important and challenging use case for ASR systems.
A Theory of Neural Tangent Kernel Alignment and Its Influence on Training
In this work, we seek to theoretically understand kernel alignment, a prominent and ubiquitous structural change that aligns the NTK with the target function.
Unsupervised identification of rat behavioral motifs across timescales
We found that these rats had distinct motif repertoires, suggesting that motif usage statistics can be used to infer internal states of rats.
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