3 papers
cs.GR2026
Stroke Patches: Customizable Artistic Image Styling Using Regression
Ian Jaffray, John Bronskill
We present a novel, regression-based method for artistically styling images. Unlike recent neural style transfer or diffusion-based approaches, our method allows for explicit contr…
stat.ML2025
JoLT: Joint Probabilistic Predictions on Tabular Data Using LLMs
Aliaksandra Shysheya, John Bronskill, James Requeima +4
We introduce a simple method for probabilistic predictions on tabular data based on Large Language Models (LLMs) called JoLT (Joint LLM Process for Tabular data). JoLT uses the in-…
stat.ML2024
LLM Processes: Numerical Predictive Distributions Conditioned on Natural Language
James Requeima, John Bronskill, Dami Choi +2
Machine learning practitioners often face significant challenges in formally integrating their prior knowledge and beliefs into predictive models, limiting the potential for nuance…