Adam Charles — accepted AI-conference papers

2026

Multi-Integration of Labels across Categories for Component Identification (MILCCI)

Noga Mudrik, Yuxi Chen, Gal Mishne, Adam Charles

ICML 2026poster

Many fields collect large-scale temporal data through repeated measurements (`trials’), where each trial is labeled with a set of metadata variables spanning several categories. For example, a trial in a neuroscience study may be linked to a value from category (a): task difficulty, and category (b)…

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2018

Matrix-normal models for fMRI analysis

Michael Shvartsman, Narayanan Sundaram, Mikio Aoi, Adam Charles, Theodore Willke, Jonathan Cohen

AISTATS 2018poster

Multivariate analysis of fMRI data has bene- fited substantially from advances in machine learning. Most recently, a range of prob- abilistic latent variable models applied to fMRI data have been successful in a variety of tasks, including identifying similarity pat- terns in neural data, combining…

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