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Found 4 papers, 2 papers with code
Latent Plan Transformer: Planning as Latent Variable Inference
We introduce the Latent Plan Transformer (LPT), a novel model that leverages a latent space to connect a Transformer-based trajectory generator and the final return.
Emergence of Grid-like Representations by Training Recurrent Networks with Conformal Normalization
As the agent moves, the vector is transformed by an RNN that takes the velocity of the agent as input.
Diverse and Faithful Knowledge-Grounded Dialogue Generation via Sequential Posterior Inference
The capability to generate responses with diversity and faithfulness using factual knowledge is paramount for creating a human-like, trustworthy dialogue system.
Conformal Isometry of Lie Group Representation in Recurrent Network of Grid Cells
Recurrent neural networks have been proposed to explain the properties of the grid cells by updating the neural activity vector based on the velocity input of the animal.
