Talk by Jacob Andreas (Massachusetts Institute of Technology) @SimonsInstitute

Talk by Jacob Andreas (Massachusetts Institute of Technology) @SimonsInstitute

Uploaded June 2026 | Updated September 2026, 1 week ago

Jacob Andreas (Massachusetts Institute of Technology)
https://simons.berkeley.edu/talks/jacob-andreas-massachusetts-institute-technology-2026-06-09
Topics in Intelligence: World Models and Social Reasoning

Talk by Jacob Andreas (Massachusetts Institute of Technology)

Talk by Tatyanna Sharpee (Salk Institute)

Encrypting to a Mathematical Fact | Theoretically Speaking

Scale Learning and Reasoning Across Heterogeneous Gradients and Semantics

Coboundary Expansion and Locally Testable Codes

Talk by Max Hopkins (Institute for Advanced Study)

Symbiotic Relations between Decoupled Training, Optimization, and Federated Learning

Sparse Random Graphs and Random Matrix Statistics

Natural behavior is learned through dopamine-mediated reinforcement

Random hyperbolic surfaces

From the Ball-proximal (Broximal) Point Method to Efficient Training of LLM

Privacy of Decentralized Machine Learning

Simons Institute for the Theory of Computing |

Talk by Jacob Andreas (Massachusetts Institute of Technology)