3 papers
math.LO2025
Formalising Propositional Information via Implication Hypergraphs
Vibhu Dalal
This work introduces a framework for quantifying the information content of logical propositions through the use of implication hypergraphs. We posit that a proposition's informati…
eess.IV2024
Short-Time Fourier Transform for deblurring Variational Autoencoders
Vibhu Dalal
Variational Autoencoders (VAEs) are powerful generative models, however their generated samples are known to suffer from a characteristic blurriness, as compared to the outputs of…
cs.CV2023
Dataset Distillation via the Wasserstein Metric
Haoyang Liu, Yijiang Li, Tiancheng Xing +5
Dataset Distillation (DD) aims to generate a compact synthetic dataset that enables models to achieve performance comparable to training on the full large dataset, significantly re…