
Join our reading group session now about "Calibrating Generative Models to Distributional Constraints" arxiv.org/abs/2510.10020 :) On zoom: portal.valencelabs.com/starklyspeaking
Henry Smith
9 posts

@smithhenryd
Statistics PhD Student, Knight-Hennessy Scholar, and NSF Fellow @Stanford | Previously @Yale | he/him

Join our reading group session now about "Calibrating Generative Models to Distributional Constraints" arxiv.org/abs/2510.10020 :) On zoom: portal.valencelabs.com/starklyspeaking



New at @NeurIPSConf 2025: We are excited to share SING, our algorithm for unsupervised discovery of low-dimensional latent dynamical systems from high-dimensional, noisy observations. 🎶 Thread🧵

New at @NeurIPSConf 2025: We are excited to share SING, our algorithm for unsupervised discovery of low-dimensional latent dynamical systems from high-dimensional, noisy observations. 🎶 Thread🧵


🚨New paper! Generative models are often “miscalibrated”. We calibrate diffusion models, LLMs, and more to meet desired distributional properties. E.g. we finetune protein models to better match the diversity of natural proteins. arxiv.org/abs/2510.10020 github.com/smithhenryd/cgm
