Search Results for author: Linqi Zhou

Found 7 papers, 2 papers with code

Emergence of Theory of Mind Collaboration in Multiagent Systems

no code implementations30 Sep 2021 Luyao Yuan, Zipeng Fu, Linqi Zhou, Kexin Yang, Song-Chun Zhu

Currently, in the study of multiagent systems, the intentions of agents are usually ignored.

Decision Making

Joint Training of Variational Auto-Encoder and Latent Energy-Based Model

no code implementations CVPR 2020 Tian Han, Erik Nijkamp, Linqi Zhou, Bo Pang, Song-Chun Zhu, Ying Nian Wu

This paper proposes a joint training method to learn both the variational auto-encoder (VAE) and the latent energy-based model (EBM).

Anomaly Detection

Learning Multi-layer Latent Variable Model via Variational Optimization of Short Run MCMC for Approximate Inference

no code implementations ECCV 2020 Erik Nijkamp, Bo Pang, Tian Han, Linqi Zhou, Song-Chun Zhu, Ying Nian Wu

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

no code implementations19 Nov 2019 Dandan Zhu, Tian Han, Linqi Zhou, Xiaokang Yang, Ying Nian Wu

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

1 code implementation1 Sep 2019 Zijun Zhang, Linqi Zhou, Liangke Gou, Ying Nian Wu

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.

Neural Architecture Search

Cannot find the paper you are looking for? You can Submit a new open access paper.