Events Archive

Bridging Stochastic Processes and Generative AI: Mathematical Foundations and Scalable Algorithms for Flow and Diffusion Models

Yinuo Ren, Stanford University

Towards strong generalization in LLMs

Abhishek Panigrahi, Princeton University

Generating Games and Goals with Programmatic Representations

Graham Todd, New York University

Towards Universality in Representation Learning

Marco Fumero, Institute of Science & Technology, Austria

Foundations of Post-training from Base Models

Audrey Huang, University of Illinois Urbana-Champaign

Shaping Generalization in Deep Learning: The Role of Organizational Factors

Yingshan Chang, Carnegie Mellon University

State, Polynomials, and Parallelism in a Time of Neural Sequence Modeling

Morris Yau, Massachusetts Institute of Technology

Connecting Computation in Recurrent Neural Networks to Large-scale Spiking Activity

Alexandra Busch, Western University

Trustworthy AI in Context

Kamalika Chaudhuri

Building a Transformer from Scratch: A Collaborative Workshop

Ella Batty, Harvard University, with support from Kempner and MIND Institute community members

LLM Skills and Metacognition: Scaffolding for New Forms of Learning?

Sanjeev Arora

Special Event: NSF IAIFI Colloquium with Andy Keller