Lauren E. Gillespie

According to our database, Lauren E. Gillespie authored at least 8 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

DivShift: Exploring Domain-Specific Distribution Shifts in Large-Scale, Volunteer-Collected Biodiversity Datasets.

Elena Sierra, Lauren E. Gillespie, Salim Soltani, Moisés Expósito-Alonso, Teja Kattenborn

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

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., January, 2024

DivShift: Exploring Domain-Specific Distribution Shift in Volunteer-Collected Biodiversity Datasets.

Elena Sierra, Lauren E. Gillespie, Salim Soltani, Moisés Expósito-Alonso, Teja Kattenborn

CoRR, 2024

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, Moisés Expósito-Alonso

Proceedings of the Computer Vision - ECCV 2024, 2024

2021

On the Opportunities and Risks of Foundation Models.

Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ B. Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch, Dallas Card, Rodrigo Castellon, Niladri S. Chatterji, Annie S. Chen, Kathleen Creel, Jared Quincy Davis, Dorottya Demszky, Chris Donahue, Moussa Doumbouya, Esin Durmus, Stefano Ermon, John Etchemendy, Kawin Ethayarajh, Li Fei-Fei, Chelsea Finn, Trevor Gale, Lauren E. Gillespie, Karan Goel, Noah D. Goodman, Shelby Grossman, Neel Guha, Tatsunori Hashimoto, Peter Henderson, John Hewitt, Daniel E. Ho, Jenny Hong, Kyle Hsu, Jing Huang, Thomas Icard, Saahil Jain, Dan Jurafsky, Pratyusha Kalluri, Siddharth Karamcheti, Geoff Keeling, Fereshte Khani, Omar Khattab, Pang Wei Koh, Mark S. Krass, Ranjay Krishna, Rohith Kuditipudi, et al.

CoRR, 2021

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

2018

Querying across time to interactively evolve animations.

Isabel Tweraser, Lauren E. Gillespie, Jacob Schrum

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017

Comparing direct and indirect encodings using both raw and hand-designed features in tetris.

Lauren E. Gillespie, Gabriela R. Gonzalez, Jacob Schrum

Proceedings of the Genetic and Evolutionary Computation Conference, 2017