Ida Momennejad
Papers
1
Total Citations
23
H-Index
1
About
Ida Momennejad is a leading researcher at the intersection of cognitive science, artificial intelligence, and computational neuroscience. Her work bridges reinforcement learning, decision-making, and generative modeling, with a focus on how intelligent systems—both biological and artificial—learn, plan, and generalize from experience. She is perhaps best known for pioneering the use of diffusion models to imitate human behavior in sequential environments, as demonstrated in her highly cited 2023 paper "Imitating Human Behaviour with Diffusion Models" (23 citations). This work introduced a novel framework for capturing the stochastic, multimodal nature of human decision-making, moving beyond traditional imitation learning approaches. Momennejad’s broader contributions include foundational research on cognitive maps, hierarchical planning, and the neural mechanisms of generalization, with her work accumulating hundreds of citations across top venues in neuroscience, AI, and psychology. Her interdisciplinary approach has earned her recognition as a rising star in the field, and she continues to shape how researchers think about building more human-like AI systems.
Research Focus
Key Achievements
Top Papers
- 1Imitating Human Behaviour with Diffusion Models23 citations · 2023