Project aimed to determine how well do LLMs identify objects in an image, how do they respond to ambiguity or unfamiliar inputs, how does prompt design affect their expression of uncertainty.
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Updated
Dec 15, 2025 - Python
Project aimed to determine how well do LLMs identify objects in an image, how do they respond to ambiguity or unfamiliar inputs, how does prompt design affect their expression of uncertainty.
Real-time audio spectrum analyzer using FFT with bass/mid/treble band visualization, peak frequency tracking, and live microphone input.
Newton–Puiseux for CVNNs: complete toolkit for uncertainty mining, confidence calibration and local symbolic-numeric analysis on ECG (MIT-BIH) and wireless IQ data (RadioML 2016.10A).
Emergent Computational Epistemology: studying AI’s emergent behaviors as non-human epistemic systems.
Ziyuan Chen, ECE448 @ ZJUI 24SP
Project for class Introduction in Electrical and Computer Enginnering at 1st year in ECE, University of Patra.
[NeurIPS 2022] FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation
Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlight).
Spectrum Scale Erasure Code Edition acceptace criteria helper
Lab excercise for "Intro to telecommunications" - ECE NTUA 5th term
A Digital Modulation (DM) library w/ examples for the Pyboard
HomeMade test cases for lesson Programming Languages I at Ece-Ntua
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