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Mixed Continuous and Categorical Flow Matching for 3D De Novo Molecule
  Generation

Mixed Continuous and Categorical Flow Matching for 3D De Novo Molecule Generation

30 April 2024
Ian Dunn
D. Koes
    BDL
    DiffM
ArXivPDFHTML

Papers citing "Mixed Continuous and Categorical Flow Matching for 3D De Novo Molecule Generation"

11 / 11 papers shown
Title
GEOM-Drugs Revisited: Toward More Chemically Accurate Benchmarks for 3D Molecule Generation
GEOM-Drugs Revisited: Toward More Chemically Accurate Benchmarks for 3D Molecule Generation
Filipp Nikitin
Ian Dunn
D. Koes
Olexandr Isayev
39
0
0
30 Apr 2025
Generative Modeling of Discrete Joint Distributions by E-Geodesic Flow
  Matching on Assignment Manifolds
Generative Modeling of Discrete Joint Distributions by E-Geodesic Flow Matching on Assignment Manifolds
Bastian Boll
Daniel Gonzalez-Alvarado
Christoph Schnörr
DRL
45
4
0
12 Feb 2024
Dirichlet Flow Matching with Applications to DNA Sequence Design
Dirichlet Flow Matching with Applications to DNA Sequence Design
Hannes Stärk
Bowen Jing
Chenyu Wang
Gabriele Corso
Bonnie Berger
Regina Barzilay
Tommi Jaakkola
BDL
36
45
0
08 Feb 2024
Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows
  with Applications to Protein Co-Design
Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design
Andrew Campbell
Jason Yim
Regina Barzilay
Tom Rainforth
Tommi Jaakkola
AI4CE
60
96
0
07 Feb 2024
MUDiff: Unified Diffusion for Complete Molecule Generation
MUDiff: Unified Diffusion for Complete Molecule Generation
Chenqing Hua
Sitao Luan
Minkai Xu
Rex Ying
Jie Fu
Stefano Ermon
Doina Precup
DiffM
36
34
0
28 Apr 2023
Stochastic Interpolants: A Unifying Framework for Flows and Diffusions
Stochastic Interpolants: A Unifying Framework for Flows and Diffusions
M. S. Albergo
Nicholas M. Boffi
Eric Vanden-Eijnden
DiffM
240
260
0
15 Mar 2023
A Continuous Time Framework for Discrete Denoising Models
A Continuous Time Framework for Discrete Denoising Models
Andrew Campbell
Joe Benton
Valentin De Bortoli
Tom Rainforth
George Deligiannidis
Arnaud Doucet
DiffM
172
132
0
30 May 2022
Argmax Flows and Multinomial Diffusion: Learning Categorical
  Distributions
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions
Emiel Hoogeboom
Didrik Nielsen
P. Jaini
Patrick Forré
Max Welling
DiffM
199
392
0
10 Feb 2021
Learning a Continuous Representation of 3D Molecular Structures with
  Deep Generative Models
Learning a Continuous Representation of 3D Molecular Structures with Deep Generative Models
Matthew Ragoza
Tomohide Masuda
D. Koes
DiffM
MedIm
59
25
0
17 Oct 2020
Graph Convolutional Policy Network for Goal-Directed Molecular Graph
  Generation
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
Jiaxuan You
Bowen Liu
Rex Ying
Vijay S. Pande
J. Leskovec
GNN
181
878
0
07 Jun 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation
Junction Tree Variational Autoencoder for Molecular Graph Generation
Wengong Jin
Regina Barzilay
Tommi Jaakkola
208
1,205
0
12 Feb 2018
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