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Argmax Flows and Multinomial Diffusion: Learning Categorical
  Distributions

Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions

10 February 2021
Emiel Hoogeboom
Didrik Nielsen
P. Jaini
Patrick Forré
Max Welling
    DiffM
ArXivPDFHTML

Papers citing "Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions"

50 / 275 papers shown
Title
ControlMol: Adding Substruture Control To Molecule Diffusion Models
ControlMol: Adding Substruture Control To Molecule Diffusion Models
Zhengyang Qi
Zijing Liu
Jiying Zhang
He Cao
Yu Li
55
2
0
22 Apr 2024
Guided Discrete Diffusion for Electronic Health Record Generation
Guided Discrete Diffusion for Electronic Health Record Generation
Jun Han
Zixiang Chen
Yongqian Li
Yiwen Kou
Eran Halperin
Robert E. Tillman
Quanquan Gu
MedIm
DiffM
38
6
0
18 Apr 2024
Balanced Mixed-Type Tabular Data Synthesis with Diffusion Models
Balanced Mixed-Type Tabular Data Synthesis with Diffusion Models
Zeyu Yang
Peikun Guo
Khadija Zanna
Akane Sano
Xiaoxue Yang
Akane Sano
DiffM
34
8
0
12 Apr 2024
An Overview of Diffusion Models: Applications, Guided Generation,
  Statistical Rates and Optimization
An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization
Minshuo Chen
Song Mei
Jianqing Fan
Mengdi Wang
VLM
MedIm
DiffM
37
49
0
11 Apr 2024
UFID: A Unified Framework for Input-level Backdoor Detection on Diffusion Models
UFID: A Unified Framework for Input-level Backdoor Detection on Diffusion Models
Zihan Guan
Mengxuan Hu
Sheng Li
Anil Vullikanti
DiffM
AAML
47
10
0
01 Apr 2024
SemCity: Semantic Scene Generation with Triplane Diffusion
SemCity: Semantic Scene Generation with Triplane Diffusion
Jumin Lee
Sebin Lee
Changho Jo
Woobin Im
Juhyeong Seon
Sung-eui Yoon
DiffM
40
18
0
12 Mar 2024
PPFlow: Target-aware Peptide Design with Torsional Flow Matching
PPFlow: Target-aware Peptide Design with Torsional Flow Matching
Haitao Lin
Odin Zhang
Huifeng Zhao
Dejun Jiang
Lirong Wu
Zicheng Liu
Yufei Huang
Stan Z. Li
62
12
0
05 Mar 2024
Stochastic Conditional Diffusion Models for Robust Semantic Image
  Synthesis
Stochastic Conditional Diffusion Models for Robust Semantic Image Synthesis
Juyeon Ko
Inho Kong
Dogyun Park
Hyunwoo J. Kim
DiffM
52
4
0
26 Feb 2024
DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based
  Drug Design
DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design
Jiaqi Guan
Xiangxin Zhou
Yuwei Yang
Yu Bao
Jian-wei Peng
Jianzhu Ma
Qiang Liu
Liang Wang
Quanquan Gu
45
68
0
26 Feb 2024
Synthetic location trajectory generation using categorical diffusion
  models
Synthetic location trajectory generation using categorical diffusion models
Simon Dirmeier
Ye Hong
Fernando Pérez-Cruz
29
0
0
19 Feb 2024
Text Diffusion with Reinforced Conditioning
Text Diffusion with Reinforced Conditioning
Yuxuan Liu
Tianchi Yang
Shaohan Huang
Zihan Zhang
Haizhen Huang
Furu Wei
Weiwei Deng
Feng Sun
Qi Zhang
35
1
0
19 Feb 2024
Convergence Analysis of Discrete Diffusion Model: Exact Implementation
  through Uniformization
Convergence Analysis of Discrete Diffusion Model: Exact Implementation through Uniformization
Hongrui Chen
Lexing Ying
30
11
0
12 Feb 2024
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
50
4
0
12 Feb 2024
Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language
  Models
Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models
Jiacheng Ye
Shansan Gong
Liheng Chen
Lin Zheng
Jiahui Gao
...
Chuan Wu
Xin Jiang
Zhenguo Li
Wei Bi
Lingpeng Kong
DiffM
LRM
AI4CE
59
13
0
12 Feb 2024
InstructScene: Instruction-Driven 3D Indoor Scene Synthesis with
  Semantic Graph Prior
InstructScene: Instruction-Driven 3D Indoor Scene Synthesis with Semantic Graph Prior
Chenguo Lin
Yadong Mu
3DV
22
33
0
07 Feb 2024
Space Group Constrained Crystal Generation
Space Group Constrained Crystal Generation
Rui Jiao
Wenbing Huang
Yu Liu
Deli Zhao
Yang Liu
32
30
0
06 Feb 2024
Pard: Permutation-Invariant Autoregressive Diffusion for Graph
  Generation
Pard: Permutation-Invariant Autoregressive Diffusion for Graph Generation
Lingxiao Zhao
Xueying Ding
Leman Akoglu
DiffM
29
9
0
06 Feb 2024
BrepGen: A B-rep Generative Diffusion Model with Structured Latent
  Geometry
BrepGen: A B-rep Generative Diffusion Model with Structured Latent Geometry
Xiang Xu
Joseph G. Lambourne
P. Jayaraman
Zhengqing Wang
Karl D. D. Willis
Yasutaka Furukawa
DiffM
AI4CE
36
34
0
28 Jan 2024
FedTabDiff: Federated Learning of Diffusion Probabilistic Models for
  Synthetic Mixed-Type Tabular Data Generation
FedTabDiff: Federated Learning of Diffusion Probabilistic Models for Synthetic Mixed-Type Tabular Data Generation
Timur Sattarov
Marco Schreyer
Damian Borth
FedML
DiffM
MedIm
25
7
0
11 Jan 2024
ROIC-DM: Robust Text Inference and Classification via Diffusion Model
ROIC-DM: Robust Text Inference and Classification via Diffusion Model
Shilong Yuan
Wei Yuan
Hongzhi Yin
Tieke He
DiffM
33
2
0
07 Jan 2024
Deep Learning-based Image and Video Inpainting: A Survey
Deep Learning-based Image and Video Inpainting: A Survey
Weize Quan
Jiaxi Chen
Yanli Liu
Dong-Ming Yan
Peter Wonka
3DV
43
35
0
07 Jan 2024
Geometric-Facilitated Denoising Diffusion Model for 3D Molecule
  Generation
Geometric-Facilitated Denoising Diffusion Model for 3D Molecule Generation
Can Xu
Haosen Wang
Weigang Wang
Pengfei Zheng
Hongyang Chen
DiffM
64
7
0
05 Jan 2024
Improving Diffusion-Based Image Synthesis with Context Prediction
Improving Diffusion-Based Image Synthesis with Context Prediction
Ling Yang
Jingwei Liu
Shenda Hong
Zhilong Zhang
Zhilin Huang
Zheming Cai
Wentao Zhang
Bin Cui
DiffM
51
33
0
04 Jan 2024
HQ-VAE: Hierarchical Discrete Representation Learning with Variational
  Bayes
HQ-VAE: Hierarchical Discrete Representation Learning with Variational Bayes
Yuhta Takida
Yukara Ikemiya
Takashi Shibuya
Kazuki Shimada
Woosung Choi
...
Naoki Murata
Toshimitsu Uesaka
Kengo Uchida
Wei-Hsiang Liao
Yuki Mitsufuji
BDL
51
11
0
31 Dec 2023
Towards Joint Sequence-Structure Generation of Nucleic Acid and Protein
  Complexes with SE(3)-Discrete Diffusion
Towards Joint Sequence-Structure Generation of Nucleic Acid and Protein Complexes with SE(3)-Discrete Diffusion
Alex Morehead
Jeffrey A. Ruffolo
Aadyot Bhatnagar
Ali Madani
DiffM
26
9
0
21 Dec 2023
IPAD: Iterative, Parallel, and Diffusion-based Network for Scene Text Recognition
IPAD: Iterative, Parallel, and Diffusion-based Network for Scene Text Recognition
Xiaomeng Yang
Zhi Qiao
Yu Zhou
DiffM
62
1
0
19 Dec 2023
Continuous Diffusion for Mixed-Type Tabular Data
Continuous Diffusion for Mixed-Type Tabular Data
Markus Mueller
Kathrin Gruber
Dennis Fok
DiffM
61
5
0
16 Dec 2023
Fast Sampling via Discrete Non-Markov Diffusion Models
Fast Sampling via Discrete Non-Markov Diffusion Models
Zixiang Chen
Huizhuo Yuan
Yongqian Li
Yiwen Kou
Junkai Zhang
Quanquan Gu
DiffM
32
6
0
14 Dec 2023
Efficient and Scalable Graph Generation through Iterative Local
  Expansion
Efficient and Scalable Graph Generation through Iterative Local Expansion
Andreas Bergmeister
Karolis Martinkus
Nathanael Perraudin
Roger Wattenhofer
25
12
0
14 Dec 2023
Diffusion-based Blind Text Image Super-Resolution
Diffusion-based Blind Text Image Super-Resolution
Yuzhe Zhang
Jiawei Zhang
Hao Li
Zhouxia Wang
Luwei Hou
Dongqing Zou
Liheng Bian
39
8
0
13 Dec 2023
DiffuVST: Narrating Fictional Scenes with Global-History-Guided
  Denoising Models
DiffuVST: Narrating Fictional Scenes with Global-History-Guided Denoising Models
Shengguang Wu
Mei Yuan
Qi Su
DiffM
17
0
0
12 Dec 2023
Diffusion-SS3D: Diffusion Model for Semi-supervised 3D Object Detection
Diffusion-SS3D: Diffusion Model for Semi-supervised 3D Object Detection
Cheng-Ju Ho
Chen-Hsuan Tai
Yen-Yu Lin
Ming-Hsuan Yang
Yi-Hsuan Tsai
DiffM
64
11
0
05 Dec 2023
Improving In-Context Learning in Diffusion Models with Visual
  Context-Modulated Prompts
Improving In-Context Learning in Diffusion Models with Visual Context-Modulated Prompts
Tianqi Chen
Yongfei Liu
Zhendong Wang
Jianbo Yuan
Quanzeng You
Hongxia Yang
Mingyuan Zhou
VLM
37
5
0
03 Dec 2023
Leveraging Graph Diffusion Models for Network Refinement Tasks
Leveraging Graph Diffusion Models for Network Refinement Tasks
Puja Trivedi
Ryan A. Rossi
David Arbour
Tong Yu
Franck Dernoncourt
Sungchul Kim
Nedim Lipka
Namyong Park
Nesreen K. Ahmed
Danai Koutra
DiffM
34
0
0
29 Nov 2023
Generative Modelling of Stochastic Actions with Arbitrary Constraints in
  Reinforcement Learning
Generative Modelling of Stochastic Actions with Arbitrary Constraints in Reinforcement Learning
Changyu Chen
Ramesha Karunasena
Thanh Hong Nguyen
Arunesh Sinha
Pradeep Varakantham
28
9
0
26 Nov 2023
Formulating Discrete Probability Flow Through Optimal Transport
Formulating Discrete Probability Flow Through Optimal Transport
Pengze Zhang
Hubery Yin
Chen Li
Xiaohua Xie
OT
52
5
0
07 Nov 2023
CDGraph: Dual Conditional Social Graph Synthesizing via Diffusion Model
CDGraph: Dual Conditional Social Graph Synthesizing via Diffusion Model
Jui-Yi Tsai
Ya-Wen Teng
Ho Chiok Yew
De-Nian Yang
Lydia Y. Chen
DiffM
33
1
0
03 Nov 2023
Predicting mutational effects on protein-protein binding via a
  side-chain diffusion probabilistic model
Predicting mutational effects on protein-protein binding via a side-chain diffusion probabilistic model
Shiwei Liu
Tian Zhu
Milong Ren
Chungong Yu
Dongbo Bu
Haicang Zhang
DiffM
36
18
0
30 Oct 2023
Interacting Diffusion Processes for Event Sequence Forecasting
Interacting Diffusion Processes for Event Sequence Forecasting
Mai Zeng
Florence Regol
Mark J. Coates
AI4TS
DiffM
41
0
0
26 Oct 2023
DiffS2UT: A Semantic Preserving Diffusion Model for Textless Direct
  Speech-to-Speech Translation
DiffS2UT: A Semantic Preserving Diffusion Model for Textless Direct Speech-to-Speech Translation
Yongxin Zhu
Zhujin Gao
Xinyuan Zhou
Zhongyi Ye
Linli Xu
34
2
0
26 Oct 2023
Discrete Diffusion Modeling by Estimating the Ratios of the Data
  Distribution
Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution
Aaron Lou
Chenlin Meng
Stefano Ermon
DiffM
33
68
0
25 Oct 2023
Free-form Flows: Make Any Architecture a Normalizing Flow
Free-form Flows: Make Any Architecture a Normalizing Flow
Felix Dräxler
Peter Sorrenson
Lea Zimmermann
Armand Rousselot
Ullrich Kothe
TPM
DRL
AI4CE
BDL
32
8
0
25 Oct 2023
Discriminator Guidance for Autoregressive Diffusion Models
Discriminator Guidance for Autoregressive Diffusion Models
Filip Ekstrom Kelvinius
Fredrik Lindsten
DiffM
19
5
0
24 Oct 2023
Diffusion-Model-Assisted Supervised Learning of Generative Models for
  Density Estimation
Diffusion-Model-Assisted Supervised Learning of Generative Models for Density Estimation
Yanfang Liu
Minglei Yang
Zezhong Zhang
Feng Bao
Yanzhao Cao
Guannan Zhang
19
15
0
22 Oct 2023
Generative Marginalization Models
Generative Marginalization Models
Sulin Liu
Peter J. Ramadge
Ryan P. Adams
39
1
0
19 Oct 2023
Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent
  Space
Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space
Hengrui Zhang
Jiani Zhang
Balasubramaniam Srinivasan
Zhengyuan Shen
Xiao Qin
Christos Faloutsos
Huzefa Rangwala
George Karypis
DiffM
37
84
0
14 Oct 2023
DiffuSeq-v2: Bridging Discrete and Continuous Text Spaces for
  Accelerated Seq2Seq Diffusion Models
DiffuSeq-v2: Bridging Discrete and Continuous Text Spaces for Accelerated Seq2Seq Diffusion Models
Shansan Gong
Mukai Li
Jiangtao Feng
Zhiyong Wu
Lingpeng Kong
45
19
0
09 Oct 2023
It HAS to be Subjective: Human Annotator Simulation via Zero-shot
  Density Estimation
It HAS to be Subjective: Human Annotator Simulation via Zero-shot Density Estimation
Wen Wu
Wenlin Chen
C. Zhang
P. Woodland
21
1
0
30 Sep 2023
Navigating the Design Space of Equivariant Diffusion-Based Generative
  Models for De Novo 3D Molecule Generation
Navigating the Design Space of Equivariant Diffusion-Based Generative Models for De Novo 3D Molecule Generation
Tuan Le
Julian Cremer
Frank Noé
Djork-Arné Clevert
Kristof T. Schütt
DiffM
42
25
0
29 Sep 2023
ResBit: Residual Bit Vector for Categorical Values
ResBit: Residual Bit Vector for Categorical Values
Masane Fuchi
Amar Zanashir
Si-Qing Chen
Tomohiro Takagi
24
1
0
29 Sep 2023
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