Comparing direct and indirect encodings using both raw and hand-designed features in tetris. - Lauren E. Gillespie; Gabriela R. Gonzalez; Jacob Schrum (GECCO, 2017)

Querying across time to interactively evolve animations. - Isabel Tweraser; Lauren E. Gillespie; Jacob Schrum (GECCO, 2018)

Rethinking the limiting dynamics of SGD: modified loss, phase space oscillations, and anomalous diffusion. - Daniel Kunin; Javier Sagastuy-Breña; Lauren E. Gillespie; Eshed Margalit; Hidenori Tanaka; Surya Ganguli; Daniel L. K. Yamins (CoRR, 2021)

On the Opportunities and Risks of Foundation Models. - Rishi Bommasani; Drew A. Hudson; Ehsan Adeli 001; Russ B. Altman; Simran Arora; Sydney von Arx; Michael S. Bernstein; Jeannette Bohg; Antoine Bosselut; Emma Brunskill; Erik Brynjolfsson; Shyamal Buch; et al. (CoRR, 2021)

Contrastive Ground-Level Image and Remote Sensing Pre-training Improves Representation Learning for Natural World Imagery. - Andy V. Huynh; Lauren E. Gillespie; Jael Lopez-Saucedo; Claire Tang; Rohan Sikand; Moises Exposito-Alonso (ECCV (80), 2024)

DivShift: Exploring Domain-Specific Distribution Shift in Volunteer-Collected Biodiversity Datasets. - Elena Sierra; Lauren E. Gillespie; Salim Soltani; Moises Exposito-Alonso; Teja Kattenborn (CoRR, 2024)

The Limiting Dynamics of SGD: Modified Loss, Phase-Space Oscillations, and Anomalous Diffusion. - Daniel Kunin; Javier Sagastuy-Breña; Lauren E. Gillespie; Eshed Margalit; Hidenori Tanaka; Surya Ganguli; Daniel L. K. Yamins (Neural Comput., 2024)

DivShift: Exploring Domain-Specific Distribution Shifts in Large-Scale, Volunteer-Collected Biodiversity Datasets. - Elena Sierra; Lauren E. Gillespie; Salim Soltani; Moises Exposito-Alonso; Teja Kattenborn (AAAI, 2025)