Congratulations to the Livermore researchers whose work has been accepted to the 42nd International Conference on Machine Learning (ICML) on July 13–19 in Vancouver, BC. According to the ICML website, the event showcases "research on all aspects of machine learning used in closely related areas like artificial intelligence, statistics and data science, as well as important application areas such as machine vision, computational biology, speech recognition, and robotics." Follow @Livermore_Comp on X with the #ICML25 hashtag. Workshop websites and preprints are linked below.

Poster: An Online Adaptive Sampling Algorithm for Stochastic Difference-of-convex Optimization with Time-varying Distributions | Jingyi Wang

Poster: Approximate Forest Completion and Learning-Augmented Algorithms for Metric Minimum Spanning Trees | Thomas Stanley, Min Priest, Trevor Steil, Keita Iwabuchi, T.S. Jayram, Geoffrey Sanders

Workshop: 1st Workshop on Foundation Models for Structured Data (FMSD)

• Towards a Multi-Modal Foundation Model for Inertial Confinement Fusion: Combining Structured Data and Diagnostic Images | Michael Jones, Bogdan Kustowski

Workshop: Tiny Titans: The Next Wave of On-Device Learning for Foundation Models (TTODLer-FM)

• Lion Cub: Minimizing Communication Overhead in Distributed Lion | Tal Ben-Nun, Brian Van Essen, Nikoli Dryden