latent space

Navigating Chemical Space with Latent Flows NeurIPS 2024 Neural Cover Selection for Image Steganography NeurIPS 2024 Neural Isometries: Taming Transformations for Equivariant ML NeurIPS 2024 Neural Modes: Self-supervised Learning of Nonlinear Modal Subspaces CVPR 2024 Neuroevolution of a Multi-Generator GAN (Student Abstract) AAAI 2024 NoiseCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions in Diffusion Models CVPR 2024 OmniTokenizer: A Joint Image-Video Tokenizer for Visual Generation NeurIPS 2024 On the Semantic Latent Space of Diffusion-Based Text-To-Speech Models ACL 2024 Pantypes: Diverse Representatives for Self-Explainable Models AAAI 2024 PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance AAAI 2024 Phased Consistency Models NeurIPS 2024 Photorealistic Video Generation with Diffusion Models ECCV 2024 PnP Inversion: Boosting Diffusion-based Editing with 3 Lines of Code ICLR 2024 Posterior Distillation Sampling CVPR 2024 PRIME: Prioritizing Interpretability in Failure Mode Extraction ICLR 2024 Prototype Learning for Explainable Brain Age Prediction WACV 2024 READ: Retrieval-Enhanced Asymmetric Diffusion for Motion Planning CVPR 2024 Reclaiming the Source of Programmatic Policies: Programmatic versus Latent Spaces ICLR 2024 Representation Learning via Manifold Flattening and Reconstruction JMLR 2024 Rethinking Diffusion Model for Multi-Contrast MRI Super-Resolution CVPR 2024 Rethinking the Paradigm of Content Constraints in Unpaired Image-to-Image Translation AAAI 2024 Revisiting Latent Space of GAN Inversion for Robust Real Image Editing WACV 2024 Robust Optimization in Protein Fitness Landscapes Using Reinforcement Learning in Latent Space ICML 2024 Robust Stochastic Graph Generator for Counterfactual Explanations AAAI 2024 Sample Efficient Learning of Factored Embeddings of Tensor Fields AISTATS 2024