Picture for Zhi-Ming Ma

Zhi-Ming Ma

UniCorn: A Unified Contrastive Learning Approach for Multi-view Molecular Representation Learning

May 15, 2024
Viaarxiv icon

On the Convergence of Adam under Non-uniform Smoothness: Separability from SGDM and Beyond

Add code
Mar 22, 2024
Viaarxiv icon

The Surprising Effectiveness of Skip-Tuning in Diffusion Sampling

Feb 23, 2024
Viaarxiv icon

Better Neural PDE Solvers Through Data-Free Mesh Movers

Add code
Dec 09, 2023
Viaarxiv icon

Deciphering and integrating invariants for neural operator learning with various physical mechanisms

Add code
Nov 24, 2023
Viaarxiv icon

Sliced Denoising: A Physics-Informed Molecular Pre-Training Method

Nov 03, 2023
Figure 1 for Sliced Denoising: A Physics-Informed Molecular Pre-Training Method
Figure 2 for Sliced Denoising: A Physics-Informed Molecular Pre-Training Method
Figure 3 for Sliced Denoising: A Physics-Informed Molecular Pre-Training Method
Figure 4 for Sliced Denoising: A Physics-Informed Molecular Pre-Training Method
Viaarxiv icon

SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models

Sep 10, 2023
Figure 1 for SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models
Figure 2 for SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models
Figure 3 for SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models
Figure 4 for SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models
Viaarxiv icon

Fractional Denoising for 3D Molecular Pre-training

Add code
Jul 20, 2023
Figure 1 for Fractional Denoising for 3D Molecular Pre-training
Figure 2 for Fractional Denoising for 3D Molecular Pre-training
Figure 3 for Fractional Denoising for 3D Molecular Pre-training
Figure 4 for Fractional Denoising for 3D Molecular Pre-training
Viaarxiv icon

Power-law Dynamic arising from machine learning

Jun 16, 2023
Viaarxiv icon

Convergence of AdaGrad for Non-convex Objectives: Simple Proofs and Relaxed Assumptions

May 29, 2023
Figure 1 for Convergence of AdaGrad for Non-convex Objectives: Simple Proofs and Relaxed Assumptions
Viaarxiv icon