Modeling stochastic noise in gene regulatory systems. - Arwen Meister; Chao Du; Ye Henry Li; Wing Hung Wong (Quant. Biol., 2014)

Cinematic-L1 Video Stabilization with a Log-Homography Model. - Arwen Bradley; Jason Klivington; Joseph Triscari; Rudolph van der Merwe (WACV, 2021)

Vanishing Gradients in Reinforcement Finetuning of Language Models. - Noam Razin; Hattie Zhou; Omid Saremi; Vimal Thilak; Arwen Bradley; Preetum Nakkiran; Joshua M. Susskind; Etai Littwin (ICLR, 2024)

What Algorithms can Transformers Learn? A Study in Length Generalization. - Hattie Zhou; Arwen Bradley; Etai Littwin; Noam Razin; Omid Saremi; Joshua M. Susskind; Samy Bengio; Preetum Nakkiran (ICLR, 2024)

Classifier-Free Guidance is a Predictor-Corrector. - Arwen Bradley; Preetum Nakkiran (CoRR, 2024)

Composition and Control with Distilled Energy Diffusion Models and Sequential Monte Carlo. - James Thornton; Louis Béthune; Ruixiang Zhang; Arwen Bradley; Preetum Nakkiran; Shuangfei Zhai (AISTATS, 2025)

Step-by-Step Diffusion: An Elementary Tutorial. - Preetum Nakkiran; Arwen Bradley; Hattie Zhou; Madhu Advani (Found. Trends Comput. Graph. Vis., 2025)

Mechanisms of Projective Composition of Diffusion Models. - Arwen Bradley; Preetum Nakkiran; David Berthelot; James Thornton; Joshua M. Susskind (CoRR, 2025)