Stanford University
Collaboration with Surya Ganguli's group on the Simons Collaboration for the Physics of Learning and Neural Computation.
We partner with leading institutions and researchers across multiple disciplines to advance the physics of learning and neural computation.
Collaboration with Surya Ganguli's group on the Simons Collaboration for the Physics of Learning and Neural Computation.
Part of the Simons Collaboration bringing together researchers from physics, mathematics, computer science, and neuroscience.
Collaborations with leading physics research institutes on statistical mechanics approaches to neural computation.
Joint research projects with universities and research institutes on fundamental questions in neural computation and learning theory.
Applied research collaborations with technology companies to translate theoretical insights into practical applications.
Contributing to and maintaining open-source tools and datasets that advance the field of physics-inspired machine learning.
Reach out with your research interests, goals, and potential collaboration ideas. We'll schedule an initial discussion to explore alignment.
Define specific research questions, milestones, resources needed, and expected outcomes for the collaboration.
Start with a focused 4-8 week pilot project to validate the collaboration approach and establish working relationships.
Extend the collaboration based on pilot results, with potential for multi-year research partnerships and joint publications.