Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).
Deep SIMO Auto-Encoder and Radio Frequency Hardware Impairments Modeling for Physical Layer Security
Abstract: This paper presents a novel approach to achieving secure wireless communication by leveraging the inherent characteristics of wireless channels through end-to-end learning using a ...
Stock Price Prediction, Deep Learning, LSTM, GRU, Attention Mechanism, Financial Time Series Share and Cite: Kirui, D. (2026) ...
Deep learning models for decoding intracortical neural activity during attempted speech into text. This repository contains our team's implementation for the COMP 433 Fall 2025 course project, ...
We created the python package called celldecoder that that decoding cell identity from gene expressions by explicitly modeling the multi-scale biological interactions, i.e., genes, pathways, and ...
Abstract: In the fifth-generation (5G) communication era, efficient transmitter operations are essential, with channel encoding and interleaving mitigating random and burst errors to ensure reliable ...
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