Modular Norm RandOpt: Population-Efficient Ensembling through Architecture-Aware Perturbations
Under review at ICLR 2027
Undergraduate student The University of Osaka
Hover over a neuron to reveal its connections. Drag to turn the network. Click, tap, or press Space to send a signal through a new path. Arrow keys rotate the view. Escape resets it. This is an artistic illustration, not a diagram of a specific AI model.
Drag to change the viewing angle. Click or press Space to send a star into orbit. Arrow keys rotate the view. Escape resets it. This is an artistic illustration, not a scientific simulation.
Research interests: AI safety; AI for science.
Under review at ICLR 2027
Targeting ICML 2027.
Investigating when intermediate concepts become readable and causally involved in reasoning across OLMo training checkpoints, using J-lens readouts and controlled interventions while accounting for measurement uncertainty.
Coming soon.