How Discrete and Continuous Diffusion Meet: Comprehensive Analysis of Discrete Diffusion Models via a Stochastic…
Diffusion State-Guided Projected Gradient for Inverse Problemsby Rayhan Zirvi, Bahareh Tolooshams, Anima AnandkumarFirst submitted to…
VEDIT: Latent Prediction Architecture For Procedural Video Representation Learningby Han Lin, Tushar Nagarajan, Nicolas Ballas,…
Generative Artificial Intelligence for Navigating Synthesizable Chemical Spaceby Wenhao Gao, Shitong Luo, Connor W. ColeyFirst…
Latent Abstractions in Generative Diffusion Modelsby Giulio Franzese, Mattia Martini, Giulio Corallo, Paolo Papotti, Pietro…
Redefining Temporal Modeling in Video Diffusion: The Vectorized Timestep Approachby Yaofang Liu, Yumeng Ren, Xiaodong…
Revealing the Unseen: Guiding Personalized Diffusion Models to Expose Training Databy Xiaoyu Wu, Jiaru Zhang,…
A Training-Free Conditional Diffusion Model for Learning Stochastic Dynamical Systemsby Yanfang Liu, Yuan Chen, Dongbin…
SymmetricDiffusers: Learning Discrete Diffusion on Finite Symmetric Groupsby Yongxing Zhang, Donglin Yang, Renjie LiaoFirst submitted…
Learning Optimal Control and Dynamical Structure of Global Trajectory Search Problems with Diffusion Modelsby Jannik…