Average decoding scores for modality-agnostic decoders (green), compared to modality-specific decoders trained on data from subjects viewing images (orange) or on ...

[Note this is an in-progress specification to be used in an upcoming format.] The decoder supports adaptive binary and multi-symbol models, as well as specialized encoding schemes like truncated ...

Panel A: Setup of the main fMRI experiment. Subjects were seeing images and captions in random alternation. Whenever the current stimulus matched the previous stimulus, the subjects were instructed to ...

A key question about LLMs is whether they solve reasoning tasks by learning transferable algorithms or simply memorizing training data. This distinction matters: while memorization might handle ...

ABSTRACT: Data compression plays a key role in optimizing the use of memory storage space and also reducing latency in data transmission. In this paper, we are interested in lossless compression ...

ABSTRACT: Motivated by recent results in multiple description image coding over wireless networks, we propose a scheme for transmission of multiple descriptions through hybrid packet loss and additive ...

This paper explains the decoding of an MPEG 1 bitstream with a dual core architecture model. The bit processing unit (BPU) performs bitstream parsing and Huffman decoding, and acts as master for ...