fMRI Scanning at MIT - For Kids

A Theory of Appropriateness with Applications to Generative Artificial Intelligence

Aligning deep networks with human vision will require novel neural architectures, data diets and ...

The Indoor-Training Effect: Unexpected Gains from Distribution Shifts in the Transition Function

The success of CBMM and the people who made it possible

Benchmarking Out-of-Distribution Generalization Capabilities of DNN-based Encoding Models for the...

Panel Discussion: Open Questions in Theory of Learning

Normalization models of attention

Identifying Subgroups in Biomedical Datasets using Data Attribution

Learning to Reason, Insights from Language Modeling

Tomaso Poggio autobiography, produced by NotebookLM

Conveying Tasks to Computers: How Machine Learning Can Help

Leveraging the Allen Brain Observatories

Hippocampal memory, cognition, and the role of sleep - part 2

Hippocampal memory, cognition, and the role of sleep - part 1

The Platonic Representation Hypothesis

Towards Understanding Deep Classifiers though Neural Collapse

Language Models as World Models

Towards Understanding the Implicit Regularization Effect of SGD

Panel Discussion: Open Problems in the Theory of Deep Learning

Emergent Computation and Learning with Assemblies of Neurons

SGD and Weight Decay Secretly Compress Your Neural Network

Invariance and equivariance in brains and machines

The Debate Over “Understanding” in AI’s Large Language Models

Physical and Social Human-Robot Interaction with the iCub Humanoid

Bayes in the age of intelligent machines

How fly neurons compute the direction of visual motion

fMRI Scanning at MIT - For infants

An overview of Generative AI: music, video and image creation

Dense Associative Memory in Machine Learning