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Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions

10 February 2021

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

50 / 224 papers shown

Title
A Periodic Bayesian Flow for Material Generation Hanlin Wu Yuxuan Song Jingjing Gong Ziyao Cao Y. Ouyang Jianbing Zhang Hao Zhou Wei-Ying Ma Jingjing Liu DiffM 167 3 0 04 Feb 2025
Categorical Schrödinger Bridge Matching Grigoriy Ksenofontov Alexander Korotin 120 1 0 03 Feb 2025
Graph Representation Learning with Diffusion Generative Models Daniel Wesego DiffM 103 0 0 22 Jan 2025
Simplified and Generalized Masked Diffusion for Discrete Data Jiaxin Shi Kehang Han Zehao Wang Arnaud Doucet Michalis K. Titsias DiffM 227 105 0 17 Jan 2025
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation M. Valiuddin R. V. Sloun C.G.A. Viviers Peter H. N. de With Fons van der Sommen UQCV 303 1 0 25 Nov 2024
Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements Shijie Zhou Huaisheng Zhu Rohan Sharma Ruiyi Zhang Kaiyi Ji Kaiyi Ji Changyou Chen 81 0 0 15 Nov 2024
LayerDAG: A Layerwise Autoregressive Diffusion Model for Directed Acyclic Graph Generation Mufei Li Viraj Shitole Eli Chien Changhai Man Zhaodong Wang Srinivas Sridharan Ying Zhang Tushar Krishna P. Li 99 2 0 04 Nov 2024
Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model Wenjia Xie Hao Wang Lefei Zhang Rui Zhou Defu Lian Enhong Chen DiffM 140 4 0 31 Oct 2024
Discrete Modeling via Boundary Conditional Diffusion Processes Yuxuan Gu Xiaocheng Feng Lei Huang Yingsheng Wu Zekun Zhou Weihong Zhong Kun Zhu Bing Qin DiffM 75 0 0 29 Oct 2024
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 122 19 0 28 Oct 2024
Beyond Autoregression: Fast LLMs via Self-Distillation Through Time Justin Deschenaux Çağlar Gülçehre 142 5 0 28 Oct 2024
Scaling up Masked Diffusion Models on Text Shen Nie Fengqi Zhu Chao Du Tianyu Pang Qian Liu Guangtao Zeng Min Lin Chongxuan Li AI4CE 220 30 0 24 Oct 2024
Scaling Diffusion Language Models via Adaptation from Autoregressive Models Shansan Gong Shivam Agarwal Yizhe Zhang Jiacheng Ye Lin Zheng ... Peilin Zhao W. Bi Jiawei Han Hao Peng Dianbo Sui AI4CE 140 27 0 23 Oct 2024
Retrieval Augmented Diffusion Model for Structure-informed Antibody Design and Optimization Zichen Wang Yaokun Ji Jianing Tian Shuangjia Zheng DiffM 126 3 0 19 Oct 2024
Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning Jiacheng Ye Jiahui Gao Shansan Gong Lin Zheng Xin Jiang Zhiyu Li Dianbo Sui DiffM LRM 198 25 0 18 Oct 2024
DPLM-2: A Multimodal Diffusion Protein Language Model Xinze Wang Zaixiang Zheng Fei Ye Dongyu Xue Shujian Huang Quanquan Gu 79 20 0 17 Oct 2024
Meta-DiffuB: A Contextualized Sequence-to-Sequence Text Diffusion Model with Meta-Exploration Yun-Yen Chuang Hung-Min Hsu Kevin Lin Chen-Sheng Gu Ling Zhen Li Ray-I Chang Hung-yi Lee DiffM VLM 80 1 0 17 Oct 2024
On the Relation Between Linear Diffusion and Power Iteration Dana Weitzner M. Delbracio P. Milanfar Raja Giryes DiffM 80 0 0 16 Oct 2024
Preferential Normalizing Flows Petrus Mikkola Luigi Acerbi Arto Klami 149 2 0 11 Oct 2024
Distillation of Discrete Diffusion through Dimensional Correlations Satoshi Hayakawa Yuhta Takida Masaaki Imaizumi Hiromi Wakaki Yuki Mitsufuji DiffM 204 4 0 11 Oct 2024
$$\textit{Jump Your Steps}$: Optimizing Sampling Schedule of Discrete Diffusion Models$ $\textit{Jump Your Steps}$ : Optimizing Sampling Schedule of Discrete Diffusion Models Yong-Hyun Park Chieh-Hsin Lai Satoshi Hayakawa Yuhta Takida Yuki Mitsufuji 93 7 0 10 Oct 2024
DICE: Discrete Inversion Enabling Controllable Editing for Multinomial Diffusion and Masked Generative Models Xiaoxiao He Ligong Han Quan Dao Song Wen Minhao Bai ... Hongdong Li Junzhou Huang Faez Ahmed Akash Srivastava Dimitris Metaxas DiffM SyDa 159 5 0 10 Oct 2024
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 161 12 0 08 Oct 2024
Generative Artificial Intelligence for Navigating Synthesizable Chemical Space Wenhao Gao Shitong Luo Connor W. Coley 77 7 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 117 9 0 04 Oct 2024
Convergence of Score-Based Discrete Diffusion Models: A Discrete-Time Analysis Zikun Zhang Zixiang Chen Quanquan Gu DiffM 167 5 0 03 Oct 2024
DifFaiRec: Generative Fair Recommender with Conditional Diffusion Model Zhenhao Jiang Jicong Fan FaML 70 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 205 5 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 199 0 0 16 Sep 2024
Table-to-Text Generation with Pretrained Diffusion Models Aleksei S. Krylov Oleg D. Somov 68 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 98 1 0 08 Aug 2024
D2Styler: Advancing Arbitrary Style Transfer with Discrete Diffusion Methods Onkar Susladkar Gayatri Deshmukh Sparsh Mittal Parth Shastri DiffM 97 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 130 19 0 06 Aug 2024
Informed Correctors for Discrete Diffusion Models Yixiu Zhao Jiaxin Shi F. Chen Shaul Druckmann Lester W. Mackey Scott W. Linderman 146 15 0 30 Jul 2024
Self-Supervision Improves Diffusion Models for Tabular Data Imputation Yixin Liu Thalaiyasingam Ajanthan Hisham Husain Vu-Linh Nguyen 94 12 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 126 2 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 138 85 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 120 13 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 107 5 0 19 Jul 2024
Controllable and Efficient Multi-Class Pathology Nuclei Data Augmentation using Text-Conditioned Diffusion Models Hyunwoo Oh Won-Ki Jeong MedIm 92 5 0 19 Jul 2024
Gated Temporal Diffusion for Stochastic Long-Term Dense Anticipation Olga Zatsarynna Emad Bahrami Yazan Abu Farha Gianpiero Francesca Juergen Gall 136 2 0 16 Jul 2024
Zero-Shot Adaptation for Approximate Posterior Sampling of Diffusion Models in Inverse Problems Yasar Utku Alçalar Mehmet Akçakaya DiffM 71 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 121 2 0 10 Jul 2024
HiDiff: Hybrid Diffusion Framework for Medical Image Segmentation Tao Chen Chenhui Wang Zhihao Chen Yiming Lei Hongming Shan MedIm 99 14 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 106 8 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 106 24 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 130 31 0 25 Jun 2024
Promises, Outlooks and Challenges of Diffusion Language Modeling Justin Deschenaux Çağlar Gülçehre DiffM 95 3 0 17 Jun 2024
Generative Inverse Design of Crystal Structures via Diffusion Models with Transformers Izumi Takahara Kiyou Shibata Teruyasu Mizoguchi DiffM AI4CE 86 2 0 13 Jun 2024
Cometh: A continuous-time discrete-state graph diffusion model Antoine Siraudin Fragkiskos D. Malliaros Christopher Morris 78 6 0 10 Jun 2024