Machine Learning

Analyzing Large Language Models by Learning on Token Distribution Sequences

ComfyGen: Prompt-Adaptive Workflows for Text-to-Image Generation

From Glucose Patterns to Health Outcomes (Workshop): A Generalizable Foundation Model for Continuous Glucose Monitor Data Analysis

Workshop version of the CGM foundation model paper (later published in Nature, 2025).

Global Convergence of Policy Gradient in Average Reward MDPs

GradMetaNet: An Equivariant Architecture for Learning on Gradients

Learning on LoRAs: GL-Equivariant Processing of Low-Rank Weight Spaces for Large Finetuned Models

On Bits and Bandits: Quantifying the Regret-Information Trade-off

Classifier-Guided Captioning Across Modalities

Directed Graph Generation with Diffusion Kernels

Lightning-Fast Image Inversion and Editing for Text-to-Image Diffusion Models

Diffusion inversion is the problem of taking an image and a text prompt that describes it and finding a noise latent that would generate the exact same image. Most current deterministic inversion techniques operate by approximately solving an …