Geometric diffusion model for molecular generation
Significant progress has been made in the field of deep generative models, with notable examples such as ChatGPT and image-generation tools like Midjourney, Stable Diffusion, and DALL·E showcasing remarkable performance. One of the key mathematical models behind these advancements is denoising diffu...
Saved in:
Main Author: | Mou, Bingyan |
---|---|
Other Authors: | Xia Kelin |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/175669 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
From noise to information: discriminative tasks based on randomized neural networks and generative tasks based on diffusion models
by: Hu, Minghui
Published: (2024) -
A comparative review of latent spaces in latent diffusion model with other generative models
by: Sun Jiaxin
Published: (2024) -
Evaluating the use of graph neural networks and transfer learning for oral bioavailability prediction
by: Ng, Sherwin S. S., et al.
Published: (2023) -
Molecular geometric deep learning
by: Shen, Cong, et al.
Published: (2024) -
Multi-hop question generation with knowledge graph-enhanced language model
by: Li, Zhenping, et al.
Published: (2023)