2 papers
cs.CL2025
Statistical Coherence Alignment for Large Language Model Representation Learning Through Tensor Field Convergence
Jonathan Gale, Godfrey Aldington, Harriet Thistlewood +3
Representation learning plays a central role in structuring internal embeddings to capture the statistical properties of language, influencing the coherence and contextual consiste…
cs.LG2023
Push: Concurrent Probabilistic Programming for Bayesian Deep Learning
Daniel Huang, Chris Camaño, Jonathan Tsegaye +1
We introduce a library called Push that takes a probabilistic programming approach to Bayesian deep learning (BDL). This library enables concurrent execution of BDL inference algor…