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2407.03428
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NEBULA: Neural Empirical Bayes Under Latent Representations for Efficient and Controllable Design of Molecular Libraries
3 July 2024
E. Nowara
Pedro H. O. Pinheiro
Sai Pooja Mahajan
Omar Mahmood
Andrew Watkins
Saeed Saremi
Michael R. Maser
BDL
DiffM
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Papers citing
"NEBULA: Neural Empirical Bayes Under Latent Representations for Efficient and Controllable Design of Molecular Libraries"
5 / 5 papers shown
Title
Score-based 3D molecule generation with neural fields
Matthieu Kirchmeyer
Pedro H. O. Pinheiro
Saeed Saremi
DiffM
43
0
0
15 Jan 2025
Geometric Latent Diffusion Models for 3D Molecule Generation
Minkai Xu
Alexander Powers
R. Dror
Stefano Ermon
J. Leskovec
DiffM
AI4CE
48
133
0
02 May 2023
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
253
4,764
0
24 Feb 2021
Learning a Continuous Representation of 3D Molecular Structures with Deep Generative Models
Matthew Ragoza
Tomohide Masuda
D. Koes
DiffM
MedIm
65
31
0
17 Oct 2020
Junction Tree Variational Autoencoder for Molecular Graph Generation
Wengong Jin
Regina Barzilay
Tommi Jaakkola
219
1,332
0
12 Feb 2018
1