STLLM-DF: A Spatial-Temporal Large Language Model with Diffusion for Enhanced Multi-Mode Traffic System Forecastingby Zhiqi…
CoDiCast: Conditional Diffusion Model for Global Weather Prediction with Uncertainty Quantificationby Jimeng Shi, Bowen Jin,…
Unlearning or Concealment? A Critical Analysis and Evaluation Metrics for Unlearning in Diffusion Modelsby Aakash…
Forward KL Regularized Preference Optimization for Aligning Diffusion Policiesby Zhao Shan, Chenyou Fan, Shuang Qiu,…
Sequential Posterior Sampling with Diffusion Modelsby Tristan S.W. Stevens, OisÃn Nolan, Jean-Luc Robert, Ruud J.G.…
Lexicon3D: Probing Visual Foundation Models for Complex 3D Scene Understandingby Yunze Man, Shuhong Zheng, Zhipeng…
Neural Entropyby Akhil PremkumarFirst submitted to arxiv on: 5 Sep 2024CategoriesMain: Machine Learning (cs.LG)Secondary: Statistical…
Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical Samplingby Kaiwen Zheng,…
Reliable Deep Diffusion Tensor Estimation: Rethinking the Power of Data-Driven Optimization Routineby Jialong Li, Zhicheng…
Continual Diffuser (CoD): Mastering Continual Offline Reinforcement Learning with Experience Rehearsalby Jifeng Hu, Li Shen,…