Bradley, Arwen

10 publications

ICLR 2026 To Infinity and Beyond: Tool-Use Unlocks Length Generalization in State Space Models Eran Malach, Omid Saremi, Sinead Williamson, Arwen Bradley, Aryo Lotfi, Emmanuel Abbe, Joshua M. Susskind, Etai Littwin

ICLR 2026 Trained on Tokens, Calibrated on Concepts: The Emergence of Semantic Calibration in LLMs Preetum Nakkiran, Arwen Bradley, Adam Golinski, Eugene Ndiaye, Michael Kirchhof, Sinead Williamson

TMLR 2025 Classifier-Free Guidance Is a Predictor-Corrector Arwen Bradley, Preetum Nakkiran

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

ICML 2025 Mechanisms of Projective Composition of Diffusion Models Arwen Bradley, Preetum Nakkiran, David Berthelot, James Thornton, Joshua M. Susskind

NeurIPSW 2024 Classifier-Free Guidance Is a Predictor-Corrector Arwen Bradley, Preetum Nakkiran

ICLR 2024 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

NeurIPSW 2023 What Algorithms Can Transformers Learn? a Study in Length Generalization Hattie Zhou, Arwen Bradley, Etai Littwin, Noam Razin, Omid Saremi, Joshua Susskind, Samy Bengio, Preetum Nakkiran

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