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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

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Arjun Bajpai

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#diffusion models Open access Oct 2026

How Scoring Responses Change Attribution Evaluation in a Diffusion Policy

Feature attributions rank inputs associated with a model's prediction. Their evaluation depends on how a scalar response scores predictions after features are removed or restored. For robot policies, we separate the attribution target from the scoring response. We compare squared distance (Q) and stabilized distance (N...

Arjun Bajpai · 0 citations
#diffusion models Open access Oct 2026

Response Geometry in Integrated Gradients: A Diffusion-Policy Case Study

Attribution evaluation depends on the ranking that selects interventions and the response used to score them. We study this distinction for Integrated Gradients (IG) of a fixed-noise diffusion policy's predicted action chunk. For quadratic and stabilized negative-ℓ₂ action-discrepancy targets, we derive an exact relati...

Arjun Bajpai · 0 citations

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