This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...
When Anthropic launched Skills in October, the announcement read like a niche developer feature. Two months later, OpenAI has ...
Abstract: Variational autoencoder (VAE) is widely used as a data enhancement technique. However, it faces challenges with inaccurate potential spatial distribution and poor reconstruction quality when ...
Corner cube radar calibration steps explained using Ultimate ADAS and ADAS Link for accurate, repeatable forward radar resets ...
In this work, I explore methods for improving the cross-entropy loss alignment between SAE-reconstructed and original model logits. I find that: Rather than combining everything into one large and ...
PyAerial is a Python implementation of the Aerial scalable neurosymbolic association rule miner for tabular data. It utilizes an under-complete denoising Autoencoder to learn a compact representation ...
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