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Connor T. Jerzak

cjerzak

https://ConnorJerzak.com/

AI & ML interests

Causality, AI & Global Development, earth obs, adversarial, substantive applications.

Recent Activity

commented on a paper about 10 hours ago

Planetary Causal Inference: Implications for the Geography of Poverty

authored a paper 2 days ago

Selecting Optimal Candidate Profiles in Adversarial Environments Using Conjoint Analysis and Machine Learning

updated a Space 2 days ago

cjerzak/strategize-real

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cjerzak's activity

commented a paper about 10 hours ago

Planetary Causal Inference: Implications for the Geography of Poverty

Paper • 2406.02584 • Published May 30, 2024 •

authored a paper 2 days ago

Selecting Optimal Candidate Profiles in Adversarial Environments Using Conjoint Analysis and Machine Learning

Paper • 2504.19043 • Published 7 days ago • 2

updated a Space 2 days ago

Strategize Real

♟

strategize real

upvoted 2 papers 2 days ago

Phi-4-Mini-Reasoning: Exploring the Limits of Small Reasoning Language Models in Math

Paper • 2504.21233 • Published 4 days ago • 33

Selecting Optimal Candidate Profiles in Adversarial Environments Using Conjoint Analysis and Machine Learning

Paper • 2504.19043 • Published 7 days ago • 2

commented a paper 2 days ago

Selecting Optimal Candidate Profiles in Adversarial Environments Using Conjoint Analysis and Machine Learning

Paper • 2504.19043 • Published 7 days ago • 2 •

updated a Space 8 days ago

WealthAfrica V1

📈

Time Series of Neighorhood Across Wealth in Africa

posted an update 9 days ago

Post

459

Scaling laws for multi‐scale dynamics: stacking resolutions uncovers hidden structure and drives predictable performance gains. Multi‐scale works because it blends coarse and fine contexts into a unified representation.

Dive into the math and experiments here: https://planetarycausalinference.org/scaling-laws-for-multi-scale/