Freeman, Michael

1. Force Prompting: Video Generation Models Can Learn and Generalize Physics-based Control Signals
   2025/05/26 by Nate Gillman, Gillman, Nate, Charles Herrmann +11 · 11 citations
   Computer Science · Engineering · Physics and Astronomy · #Advanced Vision and Imaging #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Control Systems and Identification #FOS: Computer and information sciences #Model Reduction and Neural Networks
2. Self-Correcting Self-Consuming Loops for Generative Model Training
   2024/02/11 by Nate Gillman, Michael R. Freeman, Gillman, Nate +11 · 3 citations
   Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model-Driven Software Engineering Techniques #Modeling and Simulation Systems #Simulation Techniques and Applications
3. Fourier Head: Helping Large Language Models Learn Complex Probability Distributions
   2024/10/29 by Nate Gillman, Gillman, Nate, Daksh Aggarwal +7 · 2 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Natural Language Processing Techniques #Topic Modeling
4. Do Music Generation Models Encode Music Theory?
   2024/10/01 by Megan Wei, Wei, Megan, M.H. Freeman +5 · 1 citation
   Computer Science · #Artificial Intelligence (cs.AI) #Audio and Speech Processing (eess.AS) #Computation and Language (cs.CL) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Music and Audio Processing #Sound (cs.SD) #electronic engineering #information engineering