6 papers
When does a scaling result justify a different allocation? A critical review of resource-allocation evidence for AI systems
Seyed Morteza Emadi
AI scaling studies increasingly evaluate systems that combine a pretrained model with retrieval, search, verification, tools, and interaction. Yet a higher score under a larger bud…
The Causal Description Gap: Information-Theoretic Separations Across Pearl's Hierarchy
Seyed Morteza Emadi
Pearl's causal hierarchy shows that observational, interventional, and counterfactual queries are qualitatively distinct. We ask a quantitative version of this question: how many a…
Rank-Aware Spectral Bounds on Attention Logits for Stable Low-Precision Training
Seyed Morteza Emadi
Attention scores in transformers are bilinear forms whose maximum magnitude governs overflow risk in low-precision training. We derive a \emp…
The Critical Horizon: Inspection Design Principles for Multi-Stage Operations and Deep Reasoning
Seyed Morteza Emadi
Manufacturing lines, service journeys, supply chains, and AI reasoning chains share a common challenge: attributing a terminal outcome to the intermediate stage that caused it. We…
Exact Attention Sensitivity and the Geometry of Transformer Stability
Seyed Morteza Emadi
We develop a sensitivity analysis for transformer attention in a geometry aligned with tokenwise computation. Our main result is the exact identity …
Testing the Exogeneity of Instrumental Variables and Regressors in Linear Regression Models Using Copulas
Seyed Morteza Emadi
We provide a Copula-based approach to test the exogeneity of instrumental variables in linear regression models. We show that the exogeneity of instrumental variables is equivalent…