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ATHENA: Adaptive Test-Time Steering for Improving Count Fidelity in Diffusion Models featured image

ATHENA: Adaptive Test-Time Steering for Improving Count Fidelity in Diffusion Models

ATHENA is a model-agnostic, training-free test-time steering framework for improving object count fidelity in text-to-image diffusion models by estimating counts during sampling …

Mohammad Shahab Sepehri
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Supervised Learning for Analog and RF Circuit Design: Benchmarks and Comparative Insights featured image

Supervised Learning for Analog and RF Circuit Design: Benchmarks and Comparative Insights

This work is driven by the results in my previous AICircuit paper.

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Asal Mehradfar
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