Irene Dea

According to our database, Irene Dea authored at least 4 papers between 2019 and 2026.

Collaborative distances:

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

2026

KARL: Knowledge Agents via Reinforcement Learning.

Jonathan D. Chang, Andrew Drozdov, Shubham Toshniwal, Owen Oertell, Alexander Trott, Jacob P. Portes, Abhay Gupta, Pallavi Koppol, Ashutosh Baheti, Sean Kulinski, Ivan Zhou, Irene Dea, Krista Opsahl-Ong, Simon Favreau-Lessard, Sean Owen, Jose Javier Gonzalez Ortiz, Arnav Singhvi, Xabi Andrade, Cindy Wang, Kartik Sreenivasan, Sam Havens, Jialu Liu, Peyton DeNiro, Wen Sun, Michael Bendersky, Jonathan Frankle

CoRR, March, 2026

2021

Coarsening optimization for differentiable programming.

Xipeng Shen, Guoqiang Zhang, Irene Dea, Samantha Andow, Emilio Arroyo-Fang, Neal Gafter, Johann George, Melissa Grueter, Erik Meijer, Olin Grigsby Shivers, Steffi Stumpos, Alanna Tempest, Christy Warden, Shannon Yang

Proc. ACM Program. Lang., 2021

Coarsening Optimization for Differentiable Programming.

Xipeng Shen, Guoqiang Zhang, Irene Dea, Samantha Andow, Emilio Arroyo-Fang, Neal Gafter, Johann George, Melissa Grueter, Erik Meijer, Steffi Stumpos, Alanna Tempest, Christy Warden, Shannon Yang

CoRR, 2021

2019

Gradient Descent: The Ultimate Optimizer.

Kartik Chandra, Erik Meijer, Samantha Andow, Emilio Arroyo-Fang, Irene Dea, Johann George, Melissa Grueter, Basil Hosmer, Steffi Stumpos, Alanna Tempest, Shannon Yang

CoRR, 2019