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Jonathan Brokman

2 accepted papers

2025

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images

ICLR 2025poster

Distinguishing between real and AI-generated images, commonly referred to as 'image detection', presents a timely and significant challenge. Despite extensive research in the (semi-)supervised regime, zero-shot and few-shot solutions have only recently emerged as promising alternatives. Their main…

2024

Enhancing Neural Training via a Correlated Dynamics Model

ICLR 2024poster

As neural networks grow in scale, their training becomes both computationally demanding and rich in dynamics. Amidst the flourishing interest in these training dynamics, we present a novel observation: Parameters during training exhibit intrinsic correlations over time. Capitalizing on this, we intr…

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