Generator-Agent-Verifier (GAV), a scientific experimentation environment that makes new PDE problems verifiable by construction verifiable by construction, is introduced and a theoretical analysis of evaluation reliability and guided development is provided.
Control-Variate Zeroth-Order Descent (CV-ZOD) is introduced, a new framework that refines the classical zeroth-order gradient estimator with a control variate that can be set based on the directional hints to leverage these hints adaptively while maintaining robustness to their quality.
Alexander Ryabchenko, Jian Qian, Wenlong Mou· 0 citations
Discrete visual tokenization, predominantly driven by vector, scalar, and product quantization, lacks a unified conceptual framework for understanding quantization tradeoffs. In this paper, we propose a unified rate--distortion perspective on modern discrete visual tokenization. By viewing quantization as lossy compres...
Xianghong Fang, Wenlong Mou, Yuan Yuan et al.· 0 citations
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