1 citations · 1 across the 4 of their papers we have counts for
4 papers
SJD-PV: Speculative Jacobi Decoding with Phrase Verification for Autoregressive Image Generation
Zhehao Yu, Baoquan Zhang, Bingqi Shan +5
Autoregressive (AR) image models have recently demonstrated remarkable generative capability, but their sequential nature results in significant inference latency. Existing trainin…
Equivariant Masked Position Prediction for Efficient Molecular Representation
Junyi An, Chao Qu, Yun-Fei Shi +4
Graph neural networks (GNNs) have shown considerable promise in computational chemistry. However, the limited availability of molecular data raises concerns regarding GNNs' ability…
Hierarchical Refinement: Optimal Transport to Infinity and Beyond
Peter Halmos, Julian Gold, Xinhao Liu +1
Optimal transport (OT) has enjoyed great success in machine learning as a principled way to align datasets via a least-cost correspondence, driven in large part by the runtime effi…
Low-Rank Optimal Transport through Factor Relaxation with Latent Coupling
Peter Halmos, Xinhao Liu, Julian Gold +1
Optimal transport (OT) is a general framework for finding a minimum-cost transport plan, or coupling, between probability distributions, and has many applications in machine learni…