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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

7 February 2024
Andrew Campbell
Jason Yim
Regina Barzilay
Tom Rainforth
Tommi Jaakkola
    AI4CE
ArXivPDFHTML

Papers citing "Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design"

26 / 26 papers shown
Title
Flash Invariant Point Attention
Flash Invariant Point Attention
Andrew Liu
Axel Elaldi
Nicholas T Franklin
Nathan Russell
Gurinder S Atwal
Yih-En A Ban
Olivia Viessmann
2
0
0
16 May 2025
Piloting Structure-Based Drug Design via Modality-Specific Optimal Schedule
Piloting Structure-Based Drug Design via Modality-Specific Optimal Schedule
Keyue Qiu
Yuxuan Song
Zhehuan Fan
Peidong Liu
Zhe Zhang
Mingyue Zheng
Hao Zhou
Wei-Ying Ma
31
0
0
12 May 2025
CHD: Coupled Hierarchical Diffusion for Long-Horizon Tasks
CHD: Coupled Hierarchical Diffusion for Long-Horizon Tasks
Ce Hao
Anxing Xiao
Zhiwei Xue
Harold Soh
49
0
0
12 May 2025
Insertion Language Models: Sequence Generation with Arbitrary-Position Insertions
Insertion Language Models: Sequence Generation with Arbitrary-Position Insertions
Dhruvesh Patel
Aishwarya Sahoo
Avinash Amballa
Tahira Naseem
Tim G. J. Rudner
Andrew McCallum
KELM
47
0
0
09 May 2025
Guide your favorite protein sequence generative model
Guide your favorite protein sequence generative model
Junhao Xiong
Hunter Nisonoff
Ishan Gaur
Jennifer Listgarten
DiffM
56
0
0
07 May 2025
DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs
DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs
Hao Luan
See-Kiong Ng
Chun Kai Ling
52
0
0
29 Apr 2025
FLOWR: Flow Matching for Structure-Aware De Novo, Interaction- and Fragment-Based Ligand Generation
FLOWR: Flow Matching for Structure-Aware De Novo, Interaction- and Fragment-Based Ligand Generation
Julian Cremer
Ross Irwin
Alessandro Tibot
J. Janet
Simon Olsson
Djork-Arné Clevert
35
0
0
14 Apr 2025
Preference-Based Alignment of Discrete Diffusion Models
Preference-Based Alignment of Discrete Diffusion Models
Umberto Borso
Davide Paglieri
Jude Wells
Tim Rocktaschel
64
1
0
11 Mar 2025
All-atom Diffusion Transformers: Unified generative modelling of molecules and materials
Chaitanya K. Joshi
Xiang Fu
Yi-Lun Liao
Vahe Gharakhanyan
Benjamin Kurt Miller
Anuroop Sriram
Zachary W. Ulissi
DiffM
55
4
0
05 Mar 2025
RiboGen: RNA Sequence and Structure Co-Generation with Equivariant MultiFlow
RiboGen: RNA Sequence and Structure Co-Generation with Equivariant MultiFlow
Dana Rubin
Allan dos Santos Costa
Manvitha Ponnapati
J. Jacobson
38
0
0
03 Mar 2025
Theoretical Benefit and Limitation of Diffusion Language Model
Theoretical Benefit and Limitation of Diffusion Language Model
Guhao Feng
Yihan Geng
Jian Guan
Wei Wu
Liwei Wang
Di He
DiffM
55
0
0
13 Feb 2025
Open Materials Generation with Stochastic Interpolants
Open Materials Generation with Stochastic Interpolants
Philipp Hoellmer
Thomas Egg
Maya M. Martirossyan
Eric Fuemmeler
Amit Gupta
...
George Karypis
Mark K. Transtrum
Richard G. Hennig
E. Tadmor
Stefano Martiniani
AI4CE
95
1
0
04 Feb 2025
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation
Yang Cao
Zhao Song
Chiwun Yang
VGen
46
2
0
01 Feb 2025
Simplified and Generalized Masked Diffusion for Discrete Data
Simplified and Generalized Masked Diffusion for Discrete Data
Jiaxin Shi
Kehang Han
Zehao Wang
Arnaud Doucet
Michalis K. Titsias
DiffM
85
63
0
17 Jan 2025
Energy-Based Diffusion Language Models for Text Generation
Energy-Based Diffusion Language Models for Text Generation
Minkai Xu
Tomas Geffner
Karsten Kreis
Weili Nie
Yilun Xu
J. Leskovec
Stefano Ermon
Arash Vahdat
DiffM
46
7
0
28 Oct 2024
Predicting sub-population specific viral evolution
Predicting sub-population specific viral evolution
Wenxian Shi
Menghua Wu
Regina Barzilay
36
0
0
28 Oct 2024
Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design
Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design
Chenyu Wang
Masatoshi Uehara
Yichun He
Amy Wang
Tommaso Biancalani
Avantika Lal
Tommi Jaakkola
Sergey Levine
Hanchen Wang
Aviv Regev
53
9
0
17 Oct 2024
UniGEM: A Unified Approach to Generation and Property Prediction for Molecules
UniGEM: A Unified Approach to Generation and Property Prediction for Molecules
Shikun Feng
Yuyan Ni
Yan Lu
Zhi-Ming Ma
Wei-Ying Ma
Yanyan Lan
38
5
0
14 Oct 2024
Think While You Generate: Discrete Diffusion with Planned Denoising
Think While You Generate: Discrete Diffusion with Planned Denoising
Sulin Liu
Juno Nam
Andrew Campbell
Hannes Stärk
Yilun Xu
Tommi Jaakkola
Rafael Gómez-Bombarelli
DiffM
48
6
0
08 Oct 2024
How Discrete and Continuous Diffusion Meet: Comprehensive Analysis of Discrete Diffusion Models via a Stochastic Integral Framework
How Discrete and Continuous Diffusion Meet: Comprehensive Analysis of Discrete Diffusion Models via a Stochastic Integral Framework
Yinuo Ren
Haoxuan Chen
Grant M. Rotskoff
Lexing Ying
47
3
0
04 Oct 2024
Convergence of Score-Based Discrete Diffusion Models: A Discrete-Time Analysis
Convergence of Score-Based Discrete Diffusion Models: A Discrete-Time Analysis
Zikun Zhang
Zixiang Chen
Quanquan Gu
DiffM
58
3
0
03 Oct 2024
Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold
Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold
Lazar Atanackovic
Xi Zhang
Brandon Amos
Mathieu Blanchette
Leo J. Lee
Yoshua Bengio
Alexander Tong
Kirill Neklyudov
41
6
0
26 Aug 2024
Unlocking Guidance for Discrete State-Space Diffusion and Flow Models
Unlocking Guidance for Discrete State-Space Diffusion and Flow Models
Hunter Nisonoff
Junhao Xiong
Stephan Allenspach
Jennifer Listgarten
63
31
0
03 Jun 2024
Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Backbone
  Generation
Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Backbone Generation
Guillaume Huguet
James Vuckovic
Kilian Fatras
Eric Thibodeau-Laufer
Pablo Lemos
...
Jarrid Rector-Brooks
Tara Akhound-Sadegh
Michael M. Bronstein
Alexander Tong
A. Bose
32
27
0
30 May 2024
Glauber Generative Model: Discrete Diffusion Models via Binary Classification
Glauber Generative Model: Discrete Diffusion Models via Binary Classification
Harshit Varma
Dheeraj M. Nagaraj
Karthikeyan Shanmugam
VLM
67
2
0
27 May 2024
Categorical Flow Matching on Statistical Manifolds
Categorical Flow Matching on Statistical Manifolds
Chaoran Cheng
Jiahan Li
Jian-wei Peng
Ge Liu
61
10
0
26 May 2024
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