generative process

CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot Classification ICLR 2025 Smooth Interpolation for Improved Discrete Graph Generative Models ICML 2025 Streamlining Image Editing with Layered Diffusion Brushes ICCV 2025 DiffEnc: Variational Diffusion with a Learned Encoder ICLR 2024 From Self-Attention to Markov Models: Unveiling the Dynamics of Generative Transformers ICML 2024 ManiFPT: Defining and Analyzing Fingerprints of Generative Models CVPR 2024 Optimal Kernel Choice for Score Function-based Causal Discovery ICML 2024 Posterior Distillation Sampling CVPR 2024 Exploring the Optimal Choice for Generative Processes in Diffusion Models: Ordinary vs Stochastic Differential Equations NeurIPS 2023 Restart Sampling for Improving Generative Processes NeurIPS 2023 Transformed Gaussian Processes for Characterizing a Model’s Discrepancy ACML 2023 Improving Transformation Invariance in Contrastive Representation Learning ICLR 2021 Learning with Labeled and Unlabeled Multi-Step Transition Data for Recovering Markov Chain from Incomplete Transition Data IJCAI 2020 Exact inference in structured prediction NeurIPS 2019