Amirhossein Mohammadi
PulseAugur coverage of Amirhossein Mohammadi — every cluster mentioning Amirhossein Mohammadi across labs, papers, and developer communities, ranked by signal.
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GPT-2 models show architectural bias towards information locality in reconstruction tasks
Researchers investigated how language models reconstruct natural English from perturbed input, focusing on information locality. They fine-tuned GPT-2 models pre-trained on impossible languages to recover English text s…
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New method enables training of very deep predictive coding networks
Researchers have introduced a new method called highway error propagation (HEP) to address the challenge of training very deep predictive coding networks (PCNs). Traditional PCNs struggle with learning signals decaying …
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New AMAR framework uses Wi-Fi CSI for multi-user activity recognition
Researchers have developed AMAR, a novel attention-based framework for recognizing multiple human activities simultaneously using Wi-Fi channel state information (CSI). This system addresses the challenge of overlapping…