Speeding up and reducing memory usage for scientific machine learning via mixed precision. - Joel Hayford; Jacob Goldman-Wetzler; Eric Wang; Lu Lu (CoRR, 2024)

Gradient Routing: Masking Gradients to Localize Computation in Neural Networks. - Alex Cloud; Jacob Goldman-Wetzler; Evzen Wybitul; Joseph Miller; Alexander Matt Turner (CoRR, 2024)

Distillation Robustifies Unlearning. - Bruce W. Lee; Addie Foote; Alex Infanger; Leni Shor; Harish Kamath; Jacob Goldman-Wetzler; Bryce Woodworth; Alex Cloud; Alexander Matt Turner (CoRR, 2025)

Unsupervised Elicitation of Language Models. - Jiaxin Wen; Zachary Ankner; Arushi Somani; Peter Hase; Samuel Marks; Jacob Goldman-Wetzler; Linda Petrini; Henry Sleight; Collin Burns; He He 001; Shi Feng 005; Ethan Perez; et al. (CoRR, 2025)

Inverse Scaling in Test-Time Compute. - Aryo Pradipta Gema; Alexander Hägele; Runjin Chen; Andy Arditi; Jacob Goldman-Wetzler; Kit Fraser-Taliente; Henry Sleight; Linda Petrini; Julian Michael; Beatrice Alex; Pasquale Minervini; Yanda Chen; et al. (CoRR, 2025)