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Found 6 papers, 2 papers with code
Dr. Strategy: Model-Based Generalist Agents with Strategic Dreaming
The proposed agent realizes a version of divide-and-conquer-like strategy in dreaming.
Collaborative Score Distillation for Consistent Visual Synthesis
Generative priors of large-scale text-to-image diffusion models enable a wide range of new generation and editing applications on diverse visual modalities.
Video Probabilistic Diffusion Models in Projected Latent Space
Specifically, PVDM is composed of two components: (a) an autoencoder that projects a given video as 2D-shaped latent vectors that factorize the complex cubic structure of video pixels and (b) a diffusion model architecture specialized for our new factorized latent space and the training/sampling procedure to synthesize videos of arbitrary length with a single model.
Scalable Neural Video Representations with Learnable Positional Features
Succinct representation of complex signals using coordinate-based neural representations (CNRs) has seen great progress, and several recent efforts focus on extending them for handling videos.
Transformer Network-based Reinforcement Learning Method for Power Distribution Network (PDN) Optimization of High Bandwidth Memory (HBM)
Therefore, without additional training, the trained network can solve new decap optimization problems.
Recurrent Auto-Encoder With Multi-Resolution Ensemble and Predictive Coding for Multivariate Time-Series Anomaly Detection
Predictive coding is further introduced to encourage the model to learn the temporal dependencies of the time series.
