Self-Correcting Self-Consuming Loops for Generative Model Training. - Nate Gillman; Michael Freeman; Daksh Aggarwal; Chia-Hong Hsu; Calvin Luo; Yonglong Tian; Chen Sun 002 (ICML, 2024)

Fourier Head: Helping Large Language Models Learn Complex Probability Distributions. - Nate Gillman; Daksh Aggarwal; Michael Freeman; Saurabh Singh; Chen Sun 002 (CoRR, 2024)

A Selberg Trace Formula for GL3(Fp)∖GL3(Fq)/K. - Daksh Aggarwal; Asghar Ghorbanpour; Masoud Khalkhali; Jiyuan Lu; Balázs Németh; C. Shijia Yu (Axioms, 2024)

Fourier Head: Helping Large Language Models Learn Complex Probability Distributions. - Nate Gillman; Daksh Aggarwal; Michael Freeman; Chen Sun 002 (ICLR, 2025)

Force Prompting: Video Generation Models Can Learn and Generalize Physics-based Control Signals. - Nate Gillman; Charles Herrmann; Michael Freeman; Daksh Aggarwal; Evan Luo; Deqing Sun; Chen Sun 002 (CoRR, 2025)