Search Results for author:
Found 7 papers, 2 papers with code
Emergence of Theory of Mind Collaboration in Multiagent Systems
Currently, in the study of multiagent systems, the intentions of agents are usually ignored.
3D Shape Generation and Completion through Point-Voxel Diffusion
We propose a novel approach for probabilistic generative modeling of 3D shapes.
Towards Holistic and Automatic Evaluation of Open-Domain Dialogue Generation
Open-domain dialogue generation has gained increasing attention in Natural Language Processing.
Joint Training of Variational Auto-Encoder and Latent Energy-Based Model
This paper proposes a joint training method to learn both the variational auto-encoder (VAE) and the latent energy-based model (EBM).
Learning Multi-layer Latent Variable Model via Variational Optimization of Short Run MCMC for Approximate Inference
Learning such a generative model requires inferring the latent variables for each training example based on the posterior distribution of these latent variables.
Deep Unsupervised Clustering with Clustered Generator Model
We propose the clustered generator model for clustering which contains both continuous and discrete latent variables.
Neural Architecture Search for Joint Optimization of Predictive Power and Biological Knowledge
We report a neural architecture search framework, BioNAS, that is tailored for biomedical researchers to easily build, evaluate, and uncover novel knowledge from interpretable deep learning models.
