41 citations · 83 across the 18 of their papers we have counts for
18 papers
Improving Molecular Force Fields with Minimal Temporal Information
Ali Mollahosseini, Mohammed Haroon Dupty, Wee Sun Lee
Accurate prediction of energy and forces for 3D molecular systems is one of fundamental challenges at the core of AI for Science applications. Many powerful and data-efficient neur…
When Diffusion Breaks Constraints: Sequential Autoregressive Generation with RL and MCTS
Zirui Zhao, Boye Niu, Harold Soh +2
Data-driven generative models excel in language and vision, but diffusion models often fail in constrained planning and design tasks, exhibiting severe constraint violations in eng…
Lightweight Spatial Modeling for Combinatorial Information Extraction From Documents
Yanfei Dong, Lambert Deng, Jiazheng Zhang +5
Documents that consist of diverse templates and exhibit complex spatial structures pose a challenge for document entity classification. We propose KNN-former, which incorporates a…
PF-GNN: Differentiable particle filtering based approximation of universal graph representations
Mohammed Haroon Dupty, Yanfei Dong, Wee Sun Lee
Message passing Graph Neural Networks (GNNs) are known to be limited in expressive power by the 1-WL color-refinement test for graph isomorphism. Other more expressive models eithe…
Tell2Design: A Dataset for Language-Guided Floor Plan Generation
Sicong Leng, Yang Zhou, Mohammed Haroon Dupty +3
We consider the task of generating designs directly from natural language descriptions, and consider floor plan generation as the initial research area. Language conditional genera…
Large Language Models as Commonsense Knowledge for Large-Scale Task Planning
Zirui Zhao, Wee Sun Lee, David Hsu
Large-scale task planning is a major challenge. Recent work exploits large language models (LLMs) directly as a policy and shows surprisingly interesting results. This paper shows…