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
AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion Abrar Rahman Abir Haz Sameen Shahgir Md Rownok Zahan Ratul Md Toki Tahmid Greg Ver Steeg Yue Dong 7 0 0 18 May 2025
Reinforcing the Diffusion Chain of Lateral Thought with Diffusion Language Models Zemin Huang Zhiyang Chen Zijun Wang Tiancheng Li Guo-Jun Qi DiffM LRM AI4CE 25 0 0 15 May 2025
Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Chuangtao Chen Qinglin Zhao Mengchu Zhou Zhimin He Haozhen Situ DiffM 48 0 0 08 May 2025
Guide your favorite protein sequence generative model Junhao Xiong Hunter Nisonoff Ishan Gaur Jennifer Listgarten DiffM 56 0 0 07 May 2025
Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Javier E. Santos Agnese Marcato Roman Colman Nicholas Lubbers Yen Ting Lin 42 0 0 03 May 2025
DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs Hao Luan See-Kiong Ng Chun Kai Ling 54 0 0 29 Apr 2025
Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion Ruixiang Zhang Shuangfei Zhai Yizhe Zhang James Thornton Zijing Ou Joshua M. Susskind Navdeep Jaitly DiffM 35 0 0 23 Apr 2025
Roll the dice & look before you leap: Going beyond the creative limits of next-token prediction Vaishnavh Nagarajan Chen Henry Wu Charles Ding Aditi Raghunathan 38 0 0 21 Apr 2025
$α$ -Flow: A Unified Framework for Continuous-State Discrete Flow Matching Models Chaoran Cheng Jiahan Li Jiajun Fan Ge Liu 31 0 0 14 Apr 2025
Diffusion Transformers for Tabular Data Time Series Generation Fabrizio Garuti E. Sangineto Simone Luetto L. Forni Rita Cucchiara 76 0 0 10 Apr 2025
Multi-fidelity Parameter Estimation Using Conditional Diffusion Models Caroline Tatsuoka Minglei Yang Dongbin Xiu Guannan Zhang DiffM 49 1 0 02 Apr 2025
Unified Multimodal Discrete Diffusion Alexander Swerdlow Mihir Prabhudesai Siddharth Gandhi Deepak Pathak Katerina Fragkiadaki DiffM 79 0 0 26 Mar 2025
An Image-like Diffusion Method for Human-Object Interaction Detection Xiaofei Hui Haoxuan Qu Hossein Rahmani Jun Liu DiffM 53 0 0 23 Mar 2025
Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models Marianne Arriola Aaron Gokaslan Justin T Chiu Zhihan Yang Zhixuan Qi Jiaqi Han S. Sahoo Volodymyr Kuleshov DiffM 77 5 0 12 Mar 2025
Effective and Efficient Masked Image Generation Models Zebin You Jingyang Ou Xiaolu Zhang Jun Hu Jun Zhou Chongxuan Li DiffM VLM 64 1 0 10 Mar 2025
Efficient Distillation of Classifier-Free Guidance using Adapters Cristian Perez Jensen Seyedmorteza Sadat 53 1 0 10 Mar 2025
Deep Robust Reversible Watermarking Jiale Chen Wei Wang Chongyang Shi Li Dong Yuanman Li Xiping Hu 45 0 0 04 Mar 2025
Molecule Generation for Target Protein Binding with Hierarchical Consistency Diffusion Model Ge Li Chenran Jiang Ziqi Gao Yu Liu Chenyang Liu Jiean Chen Yong Huang Jia Li 46 0 0 02 Mar 2025
Periodic Materials Generation using Text-Guided Joint Diffusion Model Kishalay Das Subhojyoti Khastagir Pawan Goyal Seung-Cheol Lee S. Bhattacharjee Niloy Ganguly DiffM 34 0 0 01 Mar 2025
Implicit Search via Discrete Diffusion: A Study on Chess Jiacheng Ye Zhenyu Wu Jiahui Gao Zhiyong Wu Xin Jiang Zhiyu Li Lingpeng Kong DiffM 50 2 0 27 Feb 2025
EdiText: Controllable Coarse-to-Fine Text Editing with Diffusion Language Models Che Hyun Lee Heeseung Kim Jiheum Yeom Sungroh Yoon DiffM 64 0 0 27 Feb 2025
A Dual-Purpose Framework for Backdoor Defense and Backdoor Amplification in Diffusion Models Vu Tuan Truong Long Bao Le DiffM AAML 246 0 0 26 Feb 2025
Diffusion Models for Tabular Data: Challenges, Current Progress, and Future Directions Zhong Li Qi Huang Lincen Yang Jiayang Shi Zhao Yang Niki van Stein Thomas Bäck M. Leeuwen DiffM 47 0 0 24 Feb 2025
Large Language Diffusion Models Shen Nie Fengqi Zhu Zebin You Xiaolu Zhang Jingyang Ou Jun Hu Jun Zhou Yankai Lin Zhicheng Dou Chongxuan Li 112 17 0 14 Feb 2025
Generating 3D Binding Molecules Using Shape-Conditioned Diffusion Models with Guidance Ziqi Chen B. Peng Tianhua Zhai Daniel Adu-Ampratwum Xia Ning 63 1 0 09 Feb 2025
Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization Yang Li Jinpei Guo Runzhong Wang H. Zha Junchi Yan 63 5 0 05 Feb 2025
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 75 2 0 04 Feb 2025
$Categorical Schr\"odinger Bridge Matching$ Categorical Schr\"odinger Bridge Matching Grigoriy Ksenofontov Alexander Korotin 61 0 0 03 Feb 2025
Graph Representation Learning with Diffusion Generative Models Daniel Wesego DiffM 43 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 85 63 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 91 1 0 25 Nov 2024
Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements Shijie Zhou Huaisheng Zhu Rohan Sharma R. Zhang Kaiyi Ji Changyou Chen 34 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 41 0 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 49 3 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 28 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 49 7 0 28 Oct 2024
Beyond Autoregression: Fast LLMs via Self-Distillation Through Time Justin Deschenaux Çağlar Gülçehre 47 2 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 63 14 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 Lingpeng Kong AI4CE 78 16 0 23 Oct 2024
Retrieval Augmented Diffusion Model for Structure-informed Antibody Design and Optimization Zichen Wang Yaokun Ji Jianing Tian Shuangjia Zheng DiffM 35 0 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 Lingpeng Kong DiffM LRM 69 15 0 18 Oct 2024
Improving Vector-Quantized Image Modeling with Latent Consistency-Matching Diffusion Bac Nguyen and Chieh-Hsin Lai Yuhta Takida Naoki Murata Toshimitsu Uesaka Stefano Ermon Yuki Mitsufuji 66 0 0 18 Oct 2024
DPLM-2: A Multimodal Diffusion Protein Language Model Qing Guo Zaixiang Zheng Fei Ye Dongyu Xue Shujian Huang Quanquan Gu 28 14 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 36 0 0 17 Oct 2024
On the Relation Between Linear Diffusion and Power Iteration Dana Weitzner M. Delbracio P. Milanfar Raja Giryes DiffM 36 0 0 16 Oct 2024
Preferential Normalizing Flows Petrus Mikkola Luigi Acerbi Arto Klami 33 1 0 11 Oct 2024
Distillation of Discrete Diffusion through Dimensional Correlations Satoshi Hayakawa Yuhta Takida Masaaki Imaizumi Hiromi Wakaki Yuki Mitsufuji DiffM 61 1 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 54 4 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 40 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 48 6 0 08 Oct 2024