Mamba is a new state space model architecture showing promising performance on information-dense data such as language modeling, where previous subquadratic models fall short of Transformers. It is based on the line of progress onstructured state space models, with an efficient hardware-aware design ...
Yes! This is what Mamba offers but before diving into its architecture, let’s explore the world of State Space Models first. Part 2: The State Space Model (SSM) A State Space Model (SSM), like the Transformer and RNN, processes sequences of information, like text but also signals. In...
The comparison covers five instances of each architecture over two months of simulated operation in identical conditions. The error on the one-hour forecast of temperature is 69% lower with the RNN model than with the linear one. In control the linear state-space model outperforms by 10% on ...
A state-space partitioned-block adaptive filter for echo cancellation using inter-band correlations in the Kalman gain computation A partitioned-block-based architecture for a model-based acoustic echo canceller in the frequency domain was recently presented. Partitioned-block-based fr... LM Valero...
•A novel probabilistic model to analyze time-varying patterns of functional networks inherent in rs-fMRI•A methodological architecture that combines deep learning and state-space modeling•Investigation of the estimated functional connectivities of Mild Cognitive Impairment (MCI) and normal healthy co...
Turns out that implementing support for a novel model architecture is quite fun (well, at least when it finally works). The most powerful machine on which I try LLMs is a low-power laptop with 8GB of ram and an Intel CPU (no discrete GPU), so I can't try Mamba-3B in its fullf...
concluding after only 410 days. Despite the publicity surrounding the Empire State Building, its opening was still heavily affected by the coinciding Great Depression; much of the office space remained unrented, to such an extent that the building was called “The Empty State Building.” It took...
The detailed (white-box) linear time-variant state-space (LTV-SS) model is then used as a true representation of the building to identify the parameters of a low-order LTV-SS model (gray-box) that predicts the south and north zone air temperature with mean square error of 0.59掳C and ...
A Simplied SSM Architecture 最右边为mamba block 对比图 基于Mamba的视觉backbone VMamba: Visual State Space Model Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model 基于Mamba的diffusion Scalable Diffusion Models with State Space Backbone ...
DeepAR和Deep State Space Model都是one-horizon forecast model，即每次只能预测未来一个时刻的值。A ...