Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions

10 February 2021

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

50 / 275 papers shown

Title
Binary Latent Diffusion Ze Wang Jiang Wang Zicheng Liu Qiang Qiu 32 13 0 10 Apr 2023
A Cheaper and Better Diffusion Language Model with Soft-Masked Noise Jiaao Chen Aston Zhang Mu Li Alexander J. Smola Diyi Yang DiffM 32 17 0 10 Apr 2023
BerDiff: Conditional Bernoulli Diffusion Model for Medical Image Segmentation Tao Chen Chenhui Wang Hongming Shan DiffM MedIm 20 34 0 10 Apr 2023
Anomaly Detection via Gumbel Noise Score Matching Ahsan Mahmood Junier Oliva Martin Styner 24 1 0 06 Apr 2023
MAGVLT: Masked Generative Vision-and-Language Transformer Sungwoong Kim DaeJin Jo Donghoon Lee Jongmin Kim VLM 47 12 0 21 Mar 2023
3DQD: Generalized Deep 3D Shape Prior via Part-Discretized Diffusion Process Yuhan Li Yishun Dou Xuanhong Chen Bingbing Ni Yilin Sun Yutian Liu Fuzhen Wang DiffM 29 29 0 18 Mar 2023
Stochastic Segmentation with Conditional Categorical Diffusion Models L. Zbinden Lars Doorenbos Theodoros Pissas Adrian Thomas Huber Raphael Sznitman Pablo Márquez-Neila DiffM 34 30 0 15 Mar 2023
Diffusion Models in NLP: A Survey Yuansong Zhu Yu Zhao DiffM VLM MedIm 29 23 0 14 Mar 2023
Synthetic Experience Replay Cong Lu Philip J. Ball Yee Whye Teh Jack Parker-Holder OffRL 94 69 0 12 Mar 2023
Diffusion Models for Non-autoregressive Text Generation: A Survey Yifan Li Kun Zhou Wayne Xin Zhao Ji-Rong Wen MedIm DiffM 45 33 0 12 Mar 2023
MetaUE: Model-based Meta-learning for Underwater Image Enhancement Zhenwei Zhang Haorui Yan K. Tang Yuping Duan 46 5 0 12 Mar 2023
Learning Stationary Markov Processes with Contrastive Adjustment L. Bergenstråhle J. Lagergren J. Lundeberg BDL 14 0 0 09 Mar 2023
Diffusing Gaussian Mixtures for Generating Categorical Data Florence Regol Mark J. Coates DiffM 36 5 0 08 Mar 2023
TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation David Berthelot Arnaud Autef Jierui Lin Dian Ang Yap Shuangfei Zhai Siyuan Hu Daniel Zheng Walter Talbot Eric Gu DiffM 31 81 0 07 Mar 2023
3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction Jiaqi Guan Wesley Wei Qian Xingang Peng Yufeng Su Jian-wei Peng Jianzhu Ma DiffM 34 162 0 06 Mar 2023
SePaint: Semantic Map Inpainting via Multinomial Diffusion Zheng Chen Deepak Duggirala David J. Crandall Lei Jiang Lantao Liu DiffM 36 2 0 05 Mar 2023
Synthesizing Mixed-type Electronic Health Records using Diffusion Models T. Ceritli Ghadeer O. Ghosheh V. Chauhan T. Zhu Andrew P. Creagh David A. Clifton MedIm DiffM 46 19 0 28 Feb 2023
MiDi: Mixed Graph and 3D Denoising Diffusion for Molecule Generation Clément Vignac Nagham Osman Laura Toni P. Frossard DiffM 53 50 0 17 Feb 2023
DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization Zhiqing Sun Yiming Yang DiffM 38 121 0 16 Feb 2023
Diffusion Models in Bioinformatics: A New Wave of Deep Learning Revolution in Action Zhiye Guo Jian Liu Yanli Wang Mengrui Chen Duolin Wang Dong Xu Jianlin Cheng MedIm AI4CE DiffM 48 22 0 13 Feb 2023
A Reparameterized Discrete Diffusion Model for Text Generation Lin Zheng Jianbo Yuan Lei Yu Lingpeng Kong DiffM 41 57 0 11 Feb 2023
Star-Shaped Denoising Diffusion Probabilistic Models Andrey Okhotin Dmitry Molchanov V. Arkhipkin Grigory Bartosh Viktor Ohanesian Aibek Alanov Dmitry Vetrov DiffM 40 12 0 10 Feb 2023
A Text-guided Protein Design Framework Shengchao Liu Yanjing Li Zhuoxinran Li A. Gitter Yutao Zhu ... Arvind Ramanathan Chaowei Xiao Jian Tang Hongyu Guo Anima Anandkumar 70 61 0 09 Feb 2023
GraphGUIDE: interpretable and controllable conditional graph generation with discrete Bernoulli diffusion Alex Tseng N. Diamant Tommaso Biancalani Gabriele Scalia DiffM 27 5 0 07 Feb 2023
Graph Generation with Diffusion Mixture Jaehyeong Jo Dongki Kim Sung Ju Hwang DiffM 34 20 0 07 Feb 2023
InstructTTS: Modelling Expressive TTS in Discrete Latent Space with Natural Language Style Prompt Dongchao Yang Songxiang Liu Rongjie Huang Chao Weng Helen Meng DiffM VLM 31 85 0 31 Jan 2023
Pre-Training Protein Encoder via Siamese Sequence-Structure Diffusion Trajectory Prediction Zuobai Zhang Minghao Xu A. Lozano Vijil Chenthamarakshan Payel Das Jian Tang DiffM 21 19 0 28 Jan 2023
Input Perturbation Reduces Exposure Bias in Diffusion Models Mang Ning E. Sangineto Angelo Porrello Simone Calderara Rita Cucchiara DiffM 36 64 0 27 Jan 2023
Diffusion Probabilistic Models for Scene-Scale 3D Categorical Data Jumin Lee Woobin Im Sebin Lee Sung-eui Yoon DiffM 32 15 0 02 Jan 2023
Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation Han Huang Leilei Sun Bowen Du Weifeng Lv 45 40 0 01 Jan 2023
SeqDiffuSeq: Text Diffusion with Encoder-Decoder Transformers Hongyi Yuan Zheng Yuan Chuanqi Tan Fei Huang Songfang Huang DiffM 41 64 0 20 Dec 2022
Diffusion Glancing Transformer for Parallel Sequence to Sequence Learning Lihua Qian Mingxuan Wang Yang Liu Hao Zhou DiffM 26 1 0 20 Dec 2022
Latent Diffusion for Language Generation Justin Lovelace Varsha Kishore Chao-gang Wan Eliot Shekhtman Kilian Q. Weinberger DiffM 29 71 0 19 Dec 2022
Empowering Diffusion Models on the Embedding Space for Text Generation Zhujin Gao Junliang Guo Xuejiao Tan Yongxin Zhu Fang Zhang Jiang Bian Linli Xu DiffM 35 15 0 19 Dec 2022
Denoising Diffusion for Sampling SAT Solutions Kārlis Freivalds Sergejs Kozlovics 16 2 0 30 Nov 2022
Score-based Continuous-time Discrete Diffusion Models Haoran Sun Lijun Yu Bo Dai Dale Schuurmans H. Dai DiffM 18 71 0 30 Nov 2022
Continuous diffusion for categorical data Sander Dieleman Laurent Sartran Arman Roshannai Nikolay Savinov Yaroslav Ganin ... Conor Durkan Curtis Hawthorne Rémi Leblond Will Grathwohl J. Adler DiffM 32 99 0 28 Nov 2022
Unified Discrete Diffusion for Simultaneous Vision-Language Generation Minghui Hu Chuanxia Zheng Heliang Zheng Tat-Jen Cham Chaoyue Wang Zuopeng Yang Dacheng Tao Ponnuthurai Nagaratnam Suganthan DiffM 25 23 0 27 Nov 2022
HouseDiffusion: Vector Floorplan Generation via a Diffusion Model with Discrete and Continuous Denoising M. Shabani Sepidehsadat Hosseini Yasutaka Furukawa DiffM 26 58 0 23 Nov 2022
Semi-Equivariant Continuous Normalizing Flows for Target-Aware Molecule Generation Eyal Rozenberg Daniel Freedman 29 0 0 09 Nov 2022
Self-conditioned Embedding Diffusion for Text Generation Robin Strudel Corentin Tallec Florent Altché Yilun Du Yaroslav Ganin ... Will Grathwohl Nikolay Savinov Sander Dieleman Laurent Sifre Rémi Leblond DiffM 26 83 0 08 Nov 2022
From Denoising Diffusions to Denoising Markov Models Joe Benton Yuyang Shi Valentin De Bortoli George Deligiannidis Arnaud Doucet DiffM 74 25 0 07 Nov 2022
Concrete Score Matching: Generalized Score Matching for Discrete Data Chenlin Meng Kristy Choi Jiaming Song Stefano Ermon DiffM 197 53 0 02 Nov 2022
SSD-LM: Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Control Xiaochuang Han Sachin Kumar Yulia Tsvetkov 45 79 0 31 Oct 2022
Evaluation of Categorical Generative Models -- Bridging the Gap Between Real and Synthetic Data Florence Regol Anja Kroon Mark J. Coates ELM EGVM 36 1 0 28 Oct 2022
DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models Shansan Gong Mukai Li Jiangtao Feng Zhiyong Wu Lingpeng Kong 44 308 0 17 Oct 2022
TransFusion: Transcribing Speech with Multinomial Diffusion Matthew Baas Kevin Eloff Herman Kamper DiffM 22 4 0 14 Oct 2022
Equivariant 3D-Conditional Diffusion Models for Molecular Linker Design Ilia Igashov Hannes Stärk Clément Vignac Victor Garcia Satorras P. Frossard Max Welling Michael M. Bronstein B. Correia DiffM 47 84 0 11 Oct 2022
Efficient Diffusion Models for Vision: A Survey Anwaar Ulhaq Naveed Akhtar MedIm 34 60 0 07 Oct 2022
Diffusion Models for Graphs Benefit From Discrete State Spaces K. Haefeli Karolis Martinkus Nathanael Perraudin Roger Wattenhofer DiffM 106 52 0 04 Oct 2022