Papers
Diffusion of Thought: Chain-of-Thought Reasoning in Diffusion Language Models
Jiacheng Ye, Shansan Gong, Liheng Chen et al.
DiffusionPDE: Generative PDE-Solving under Partial Observation
Jiahe Huang, Guandao Yang, Zichen Wang et al.
Diffusion PID: Interpreting Diffusion via Partial Information Decomposition
Shaurya Dewan, Rushikesh Zawar, Prakanshul Saxena et al.
Diffusion Policies Creating a Trust Region for Offline Reinforcement Learning
Tianyu Chen, Zhendong Wang, Mingyuan Zhou
Diffusion Policy Attacker: Crafting Adversarial Attacks for Diffusion-based Policies
Yipu Chen, Haotian Xue, Yongxin Chen
Diffusion Priors for Variational Likelihood Estimation and Image Denoising
Jun Cheng, Shan Tan
Diffusion-Reward Adversarial Imitation Learning
Chun-Mao Lai, Hsiang-Chun Wang, Ping-Chun Hsieh et al.
Diffusion Spectral Representation for Reinforcement Learning
Dmitry Shribak, Chen-Xiao Gao, Yitong Li et al.
Diffusion Tuning: Transferring Diffusion Models via Chain of Forgetting
Jincheng Zhong, Xingzhuo Guo, Jiaxiang Dong et al.
Diffusion Twigs with Loop Guidance for Conditional Graph Generation
Giangiacomo Mercatali, Yogesh Verma, Andre Freitas et al.
DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning
Hao Bai, Yifei Zhou, Mert Cemri et al.
DiGRAF: Diffeomorphic Graph-Adaptive Activation Function
Krishna Sri Ipsit Mantri, Xinzhi (Aurora) Wang, Carola-Bibiane Schönlieb et al.
DI-MaskDINO: A Joint Object Detection and Instance Segmentation Model
Zhixiong Nan, Xianghong Li, Tao Xiang et al.
Dimension-free deterministic equivalents and scaling laws for random feature regression
Leonardo Defilippis, Bruno Loureiro, Theodor Misiakiewicz
Dimension-free Private Mean Estimation for Anisotropic Distributions
Yuval Dagan, Michael I. Jordan, Xuelin Yang et al.
DiMSUM: Diffusion Mamba - A Scalable and Unified Spatial-Frequency Method for Image Generation
Hao Phung, Quan Dao, Trung Dao et al.
DINTR: Tracking via Diffusion-based Interpolation
Pha Nguyen, Ngan Le, Jackson Cothren et al.
DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection
Jia Syuen Lim, Zhuoxiao Chen, Mahsa Baktashmotlagh et al.
DiP-GO: A Diffusion Pruner via Few-step Gradient Optimization
Haowei Zhu, Dehua Tang, Ji Liu et al.
Direct3D: Scalable Image-to-3D Generation via 3D Latent Diffusion Transformer
Shuang Wu, Youtian Lin, Feihu Zhang et al.
Direct Consistency Optimization for Robust Customization of Text-to-Image Diffusion models
Kyungmin Lee, Sangkyung Kwak, Kihyuk Sohn et al.
DiReCT: Diagnostic Reasoning for Clinical Notes via Large Language Models
Bowen Wang, Jiuyang Chang, Yiming Qian et al.
Directional Smoothness and Gradient Methods: Convergence and Adaptivity
Aaron Mishkin, Ahmed Khaled, Yuanhao Wang et al.
Director3D: Real-world Camera Trajectory and 3D Scene Generation from Text
Xinyang Li, Zhangyu Lai, Linning Xu et al.
Direct Preference-Based Evolutionary Multi-Objective Optimization with Dueling Bandits
Tian Huang, Shengbo Wang, Ke Li