Microsoft AI Researchers Develop MoLeR: A Deep Learning-Based Generative Model That Enables Efficient Drug Design - MarkTechPost
ICLR 2022 - A selection of 10 papers you shouldn't miss
![REPO]@Telematika | shaohua0116/ICLR2020-OpenReviewData](https://repo.telematika.org/images/project/repo-8_huf202ad4a8e9c08b8ea8e9e206747aae2_32165_900x500_fit_q75_box.jpg "REPO]@Telematika | shaohua0116/ICLR2020-OpenReviewData")
REPO]@Telematika | shaohua0116/ICLR2020-OpenReviewData
Deep generative modeling for protein design - ScienceDirect
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models
De Novo Drug Design Using Reinforcement Learning with Graph-Based Deep Generative Models | Journal of Chemical Information and Modeling
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models
Sharon Zhou on Twitter: "Excited to share our #ICLR2021 paper w/ CS & math depts @Stanford 🎊 Evaluating the Disentanglement of Deep Generative Models through Manifold Topology! w/ @ericzelikman Fred Lu @AndrewYNg
My House, My Rules: Learning Tidying Preferences with Graph Neural Networks | OpenReview
Deep Generative Models in Engineering Design: A Review
NeurIPS 2022
NeurIPS 2022
Inverse design of glass structure with deep graph neural networks | Nature Communications
NeurIPS 2022
AI for Science
NeurIPS 2022
AI for Science
AI for Science
Tweets with replies by Derek Lim (@dereklim_lzh) / Twitter
NeurIPS 2022
Tweets with replies by Derek Lim (@dereklim_lzh) / Twitter
NeurIPS 2022
De Novo Drug Design Using Reinforcement Learning with Graph-Based Deep Generative Models | Journal of Chemical Information and Modeling
Structured deep generative models for sampling on constraint manifolds in sequential manipulation | OpenReview
