01 · Visual explanation
Making ordinal models plot-able
Visual tools that connect model parameters to latent evidence, response thresholds, and uncertainty.
ML · Model evaluation · Research tools
Tomer Zipori
Playful questions. Rigorous answers.
I build models, experiments, and tools to understand how people—and machines—make sense of the world.
Selected work
Questions with somewhere to go.
Three finished projects where a claim becomes a tool, a workflow, or a picture.
02 · Neural network investigation
Looking for an animal neuron
A controlled experiment inside Gemma that tests whether a strong animal response is really an animal concept.
03 · Model mechanics
What’s Artificial Intelligence all about?
A small hands-on path into the mechanics behind a model.
Currently investigating
Can padding change what a model learns?
I’m testing whether padding-sensitive normalization changes audio-classification metrics in a small DistilHuBERT model. The study compares ordinary and masked normalization under two padding conditions.
Read the experiment note Ongoing study · Pilot complete
Garden
Follow a question.
These paths connect my projects, notes, and longer articles. Pick a theme, or take an unexpected turn.
About me
Let’s talk about statistics, models, and deep neural networks.
My background spans psychology, experimental methods, statistics, data science, and machine learning. I’m facinated by statistics and machine learning. I explore them and turn research questions into models, visual explanations, and even sometimes tools that other people can use.
