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
Generative Artificial Intelligence for Navigating Synthesizable Chemical Space Wenhao Gao Shitong Luo Connor W. Coley 26 6 0 04 Oct 2024
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 52 3 0 04 Oct 2024
Convergence of Score-Based Discrete Diffusion Models: A Discrete-Time Analysis Zikun Zhang Zixiang Chen Quanquan Gu DiffM 61 3 0 03 Oct 2024
DifFaiRec: Generative Fair Recommender with Conditional Diffusion Model Zhenhao Jiang Jicong Fan FaML 31 1 0 18 Sep 2024
Score Forgetting Distillation: A Swift, Data-Free Method for Machine Unlearning in Diffusion Models Tianqi Chen Shujian Zhang Mingyuan Zhou DiffM 83 3 0 17 Sep 2024
ReflectDiffu:Reflect between Emotion-intent Contagion and Mimicry for Empathetic Response Generation via a RL-Diffusion Framework Jiahao Yuan Zixiang Di Zhiqing Cui Guisong Yang Usman Naseem 68 0 0 16 Sep 2024
Table-to-Text Generation with Pretrained Diffusion Models Aleksei S. Krylov Oleg D. Somov 40 1 0 10 Sep 2024
Random Walk Diffusion for Efficient Large-Scale Graph Generation Tobias Bernecker Ghalia Rehawi Francesco Paolo Casale Janine Knauer-Arloth Annalisa Marsico 38 1 0 08 Aug 2024
D2Styler: Advancing Arbitrary Style Transfer with Discrete Diffusion Methods Onkar Susladkar Gayatri S Deshmukh Sparsh Mittal Parth Shastri DiffM 44 3 0 07 Aug 2024
Attacks and Defenses for Generative Diffusion Models: A Comprehensive Survey V. T. Truong Luan Ba Dang Long Bao Le DiffM MedIm 56 16 0 06 Aug 2024
Informed Correctors for Discrete Diffusion Models Yixiu Zhao Jiaxin Shi Lester W. Mackey Scott W. Linderman Lester Mackey Scott Linderman 54 9 0 30 Jul 2024
Self-Supervision Improves Diffusion Models for Tabular Data Imputation Yixin Liu Thalaiyasingam Ajanthan Hisham Husain Vu-Linh Nguyen 51 9 0 25 Jul 2024
Promises and Pitfalls of Generative Masked Language Modeling: Theoretical Framework and Practical Guidelines Yuchen Li Alexandre Kirchmeyer Aashay Mehta Yilong Qin Boris Dadachev Kishore Papineni Sanjiv Kumar Andrej Risteski 61 0 0 22 Jul 2024
Discrete Flow Matching Itai Gat Tal Remez Neta Shaul Felix Kreuk Ricky T. Q. Chen Gabriel Synnaeve Yossi Adi Y. Lipman DiffM 52 57 0 22 Jul 2024
M2D2M: Multi-Motion Generation from Text with Discrete Diffusion Models Seung-geun Chi Hyung-Gun Chi Hengbo Ma Nakul Agarwal Faizan Siddiqui Karthik Ramani Kwonjoon Lee DiffM 46 11 0 19 Jul 2024
Co-synthesis of Histopathology Nuclei Image-Label Pairs using a Context-Conditioned Joint Diffusion Model Seonghui Min Hyunwoo Oh Won-Ki Jeong DiffM MedIm 42 4 0 19 Jul 2024
Controllable and Efficient Multi-Class Pathology Nuclei Data Augmentation using Text-Conditioned Diffusion Models Hyunwoo Oh Won-Ki Jeong MedIm 39 3 0 19 Jul 2024
Gated Temporal Diffusion for Stochastic Long-Term Dense Anticipation Olga Zatsarynna Emad Bahrami Yazan Abu Farha Gianpiero Francesca Juergen Gall 43 1 0 16 Jul 2024
Zero-Shot Adaptation for Approximate Posterior Sampling of Diffusion Models in Inverse Problems Yasar Utku Alçalar Mehmet Akçakaya DiffM 42 3 0 16 Jul 2024
InstructLayout: Instruction-Driven 2D and 3D Layout Synthesis with Semantic Graph Prior Chenguo Lin Yuchen Lin Panwang Pan Xuanyang Zhang Yadong Mu 3DV 54 1 0 10 Jul 2024
HiDiff: Hybrid Diffusion Framework for Medical Image Segmentation Tao Chen Chenhui Wang Zhihao Chen Yiming Lei Hongming Shan MedIm 36 8 0 03 Jul 2024
Diffusion Models for Tabular Data Imputation and Synthetic Data Generation Mario Villaizán-Vallelado Matteo Salvatori Carlos Segura Ioannis Arapakis MedIm DiffM 44 7 0 02 Jul 2024
Diffusion Models and Representation Learning: A Survey Michael Fuest Pingchuan Ma Ming Gui Johannes S. Fischer Vincent Tao Hu Bjorn Ommer DiffM 36 20 0 30 Jun 2024
Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers Lei Chen Yuan Meng Chen Tang Xinzhu Ma Jingyan Jiang Xin Wang Zhi Wang Wenwu Zhu MQ 31 23 0 25 Jun 2024
Promises, Outlooks and Challenges of Diffusion Language Modeling Justin Deschenaux Çağlar Gülçehre DiffM 50 2 0 17 Jun 2024
Generative Inverse Design of Crystal Structures via Diffusion Models with Transformers Izumi Takahara Kiyou Shibata Teruyasu Mizoguchi DiffM AI4CE 39 2 0 13 Jun 2024
Cometh: A continuous-time discrete-state graph diffusion model Antoine Siraudin Fragkiskos D. Malliaros Christopher Morris 41 3 0 10 Jun 2024
Improving Antibody Design with Force-Guided Sampling in Diffusion Models Paulina Kulyt.e Francisco Vargas Simon Mathis Yu Guang Wang Jose Miguel Hernandez-Lobato Pietro Liò DiffM 37 5 0 09 Jun 2024
Generative Assignment Flows for Representing and Learning Joint Distributions of Discrete Data Bastian Boll Daniel Gonzalez-Alvarado Stefania Petra Christoph Schnörr 44 4 0 06 Jun 2024
Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data Jingyang Ou Shen Nie Kaiwen Xue Fengqi Zhu Jiacheng Sun Zhenguo Li Chongxuan Li DiffM 41 29 0 06 Jun 2024
Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models Wenzhuo Tang Haitao Mao Danial Dervovic Ivan Brugere Saumitra Mishra Yuying Xie Jiliang Tang 50 3 0 04 Jun 2024
Unlocking Guidance for Discrete State-Space Diffusion and Flow Models Hunter Nisonoff Junhao Xiong Stephan Allenspach Jennifer Listgarten 65 31 0 03 Jun 2024
Full-Atom Peptide Design based on Multi-modal Flow Matching Jiahan Li Chaoran Cheng Zuofan Wu Ruihan Guo Shitong Luo Zhizhou Ren Jian-wei Peng Jianzhu Ma 53 15 0 02 Jun 2024
ContextFlow++: Generalist-Specialist Flow-based Generative Models with Mixed-Variable Context Encoding Denis A. Gudovskiy Tomoyuki Okuno Yohei Nakata MoE AI4CE 36 2 0 02 Jun 2024
Sifting through the Noise: A Survey of Diffusion Probabilistic Models and Their Applications to Biomolecules Trevor Norton Debswapna Bhattacharya MedIm DiffM 50 2 0 31 May 2024
Mixed Diffusion for 3D Indoor Scene Synthesis Siyi Hu Diego Martin Arroyo Stephanie Debats Fabian Manhardt Luca Carlone Federico Tombari DiffM 35 4 0 31 May 2024
Improving Discrete Diffusion Models via Structured Preferential Generation Severi Rissanen Markus Heinonen Arno Solin DiffM 48 1 0 28 May 2024
ClavaDDPM: Multi-relational Data Synthesis with Cluster-guided Diffusion Models Wei Pang Masoumeh Shafieinejad Lucy Liu Xi He 54 8 0 28 May 2024
Alignment is Key for Applying Diffusion Models to Retrosynthesis Najwa Laabid Severi Rissanen Markus Heinonen Arno Solin Vikas K. Garg DiffM 36 1 0 27 May 2024
$$\text{Di}^2\text{Pose}$: Discrete Diffusion Model for Occluded 3D Human Pose Estimation$ $\text{Di}^2\text{Pose}$ : Discrete Diffusion Model for Occluded 3D Human Pose Estimation Weiquan Wang Jun Xiao Chunping Wang Wei Liu Zhao Wang Long Chen DiffM 36 1 0 27 May 2024
Glauber Generative Model: Discrete Diffusion Models via Binary Classification Harshit Varma Dheeraj M. Nagaraj Karthikeyan Shanmugam VLM 70 2 0 27 May 2024
Categorical Flow Matching on Statistical Manifolds Chaoran Cheng Jiahan Li Jian-wei Peng Ge Liu 66 10 0 26 May 2024
Accelerating Diffusion Models with Parallel Sampling: Inference at Sub-Linear Time Complexity Haoxuan Chen Yinuo Ren Lexing Ying Grant M. Rotskoff 54 17 0 24 May 2024
Fisher Flow Matching for Generative Modeling over Discrete Data Oscar Davis Samuel Kessler Mircea Petrache .Ismail .Ilkan Ceylan Michael M. Bronstein A. Bose 48 16 0 23 May 2024
Discrete-state Continuous-time Diffusion for Graph Generation Zhe Xu Ruizhong Qiu Yuzhong Chen Huiyuan Chen Xiran Fan Menghai Pan Zhichen Zeng Mahashweta Das Hanghang Tong 51 10 0 19 May 2024
Bridging discrete and continuous state spaces: Exploring the Ehrenfest process in time-continuous diffusion models Ludwig Winkler Lorenz Richter Manfred Opper 73 2 0 06 May 2024
Towards Interpretable Reinforcement Learning with Constrained Normalizing Flow Policies Finn Rietz Erik Schaffernicht Stefan Heinrich J. A. Stork AI4CE 25 0 0 02 May 2024
Mixed Continuous and Categorical Flow Matching for 3D De Novo Molecule Generation Ian Dunn D. Koes BDL DiffM 48 11 0 30 Apr 2024
A Survey on Diffusion Models for Time Series and Spatio-Temporal Data Yiyuan Yang Ming Jin Haomin Wen Chaoli Zhang Keli Zhang ... Bin Yang Zenglin Xu Jiang Bian Shirui Pan Qingsong Wen DiffM AI4TS SyDa 37 41 0 29 Apr 2024
Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations Kaiwen Xue Yuhao Zhou Shen Nie Xu Min Xiaolu Zhang Jun Zhou Chongxuan Li DiffM 42 12 0 24 Apr 2024