GitHub

BELM: High-quality Exact Inversion sampler of Diffusion Models

🔥 We introduce a generic formulation of the exact inversion samplers, BELM. the general k-step BELM: $$\bar{\mathbf{x}}_{i-1} = \sum_{j=1}^{k} a_{i,j}\cdot \bar ...
IEEE

LiP-LLM: Integrating Linear Programming and Dependency Graph With Large Language Models for Multi-Robot Task Planning

Abstract: This study proposes LiP-LLM: integrating linear programming and dependency graph with large language models (LLMs) for multi-robot task planning. For multi-robots to efficiently perform ...
IEEE

Accelerate Presolve in Large-Scale Linear Programming via Reinforcement Learning

Abstract: As one of the most critical components in modern LP solvers, presolve in linear programming (LP) employs a rich set of presolvers to remove different types of redundancy in input problems by ...
archive

Effects of Models of Creative Performance on Ability to Formulate Hypotheses.

Ask the publishers to restore access to 500,000+ books. An icon used to represent a menu that can be toggled by interacting with this icon. A line drawing of the Internet Archive headquarters building ...
GitHub

Simple linear attention language models balance the recall-throughput tradeoff.

Based is an efficient architecture inspired by recovering attention-like capabilities (i.e., recall). We do so by combining 2 simple ideas: Short sliding window attention (e.g., window size 64), to ...