Gillman, Nate

5 publications

NeurIPS 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
ICLR 2025 Fourier Head: Helping Large Language Models Learn Complex Probability Distributions Nate Gillman, Daksh Aggarwal, Michael Freeman, Chen Sun
ICLRW 2025 Fourier Head: Helping Large Language Models Learn Complex Probability Distributions Nate Gillman, Daksh Aggarwal, Michael Freeman, Saurabh Singh, Chen Sun
ICLRW 2025 Self-Correcting Self-Consuming Loops for Generative Model Training Nate Gillman, Michael Freeman, Daksh Aggarwal, Chia-Hong Hsu, Calvin Luo, Yonglong Tian, Chen Sun
ICML 2024 Self-Correcting Self-Consuming Loops for Generative Model Training Nate Gillman, Michael Freeman, Daksh Aggarwal, Chia-Hong Hsu, Calvin Luo, Yonglong Tian, Chen Sun