Ruiqi Gao

Ph.D

Department of Statistics, Univeristy of California, Los Angeles

Show Academic Trajectory

Ego Network

D-Core

Research Interests

Author Statistics

Experience

Education

Bio

Research Interests
Statistical Modeling and Learning, Machine Learning, Computer Vision and Aritificial Intelligence.

Papers27 papers

Sort

By YearBy Citation

Motion-Based Generator Model: Unsupervised Disentanglement of Appearance, Trackable and Intrackable Motions in Dynamic Patterns

Jianwen Xie,Ruiqi Gao, Zilong Zheng,Song-Chun Zhu,Ying Nian Wu

AAAI, pp.12442-12451, (2020)

Cited by1EIBibtex

Learning Energy-Based Models by Diffusion Recovery Likelihood

Ruiqi Gao,Yang Song,Ben Poole,Ying Nian Wu,Diederik P. Kingma

international conference on learning representations, (2020)

Bibtex

Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot

Jingtong Su,Yihang Chen,Tianle Cai,Tianhao Wu,Ruiqi Gao,Liwei Wang,Jason D. Lee

NIPS 2020, (2020)

EIBibtex

Deformable Generator Networks: Unsupervised Disentanglement of Appearance and Geometry

Xianglei Xing,Ruiqi Gao, Tian Han,Song-Chun Zhu,Ying Nian Wu

IEEE transactions on pattern analysis and machine intelligence, (2020): 1-1

WOSBibtex

A Representational Model of Grid Cells Based on Matrix Lie Algebras

Ruiqi Gao,Jianwen Xie,Song-Chun Zhu,Ying Nian Wu

Bibtex

Learning Energy-based Model with Flow-based Backbone by Neural Transport MCMC

Nijkamp Erik,Gao Ruiqi, Sountsov Pavel, Vasudevan Srinivas,Pang Bo,Zhu Song-Chun,Wu Ying Nian

Cited by4Bibtex

Generative VoxelNet: Learning Energy-Based Models for 3D Shape Synthesis and Analysis

Jianwen Xie,Zilong Zheng,Ruiqi Gao,Wenguan Wang,Song-Chun Zhu,Ying Nian Wu

IEEE transactions on pattern analysis and machine intelligence, (2020): 1-1

WOSBibtex

Representation Learning: A Statistical Perspective

Xie Jianwen,Gao Ruiqi,Nijkamp Erik,Zhu Song-Chun,Wu Ying Nian

Annual Review of Statistics and Its Application, (2020): 303-335

Cited by2Bibtex

Cooperative Training of Descriptor and Generator Networks

Jianwen Xie, Yang Lu,Ruiqi Gao,Song-Chun Zhu,Ying Nian Wu

IEEE Transactions on Pattern Analysis and Machine Intelligence, pp.1-1, (2020)

Cited by48Bibtex

Learning Dynamic Generator Model by Alternating Back-Propagation through Time

Jianwen Xie,Ruiqi Gao,Zilong Zheng,Song-Chun Zhu,Ying Nian Wu

national conference on artificial intelligence, (2019): 5498-5507

Cited by13EIBibtex

Learning Vector Representation of Content and Matrix Representation of Change: Towards a Representational Model of V1

Ruiqi Gao,Jianwen Xie,Song-Chun Zhu,Ying Nian Wu

arXiv: Neural and Evolutionary Computing, (2019)

Cited by1EIBibtex

Learning Dynamic Generator Model by Alternating Back-Propagation

Jianwen Xie,Ruiqi Gao, Zilong Zheng,Song-Chun Zhu,Ying Nian Wu

national conference on artificial intelligence, (2019)

Bibtex

Learning Grid Cells as Vector Representation of Self-Position Coupled with Matrix Representation of Self-Motion

Ruiqi Gao,Jianwen Xie,Song-Chun Zhu,Ying Nian Wu

international conference on learning representations, (2019)

Cited by9EIBibtex

Flow Contrastive Estimation of Energy-Based Models

Gao Ruiqi,Nijkamp Erik,Kingma Diederik P.,Xu Zhen,Dai Andrew M.,Wu Ying Nian

CVPR, pp.7515-7525, (2019)

Cited by23EIBibtex

Unsupervised Disentangling of Appearance and Geometry by Deformable Generator Network

Xianglei Xing,Tian Han,Ruiqi Gao,Song-Chun Zhu,Ying Nian Wu

CVPR, pp.10354-10363, (2019)

Cited by10EIBibtex

A tale of three probabilistic families: Discriminative, descriptive, and generative models

Ying Nian Wu,Ruiqi Gao,Tian Han,Song-Chun Zhu

QUARTERLY OF APPLIED MATHEMATICS, no. 2 (2019): 423-465

EIBibtex

Learning V1 Simple Cells with Vector Representations of Local Contents and Matrix Representations of Local Motions

Ruiqi Gao,Jianwen Xie,Song-Chun Zhu,Ying Nian Wu

arXiv: Neural and Evolutionary Computing, (2019)

Bibtex

Exploring generative perspective of convolutional neural networks by learning random field models

Yang Lu,Ruiqi Gao,Song-Chun Zhu,Ying Nian Wu

STATISTICS AND ITS INTERFACE, no. 3 (2018): 515-529

Cited by2Bibtex

Cooperative Learning of Energy-Based Model and Latent Variable Model via MCMC Teaching

Jianwen Xie,Yang Lu,Ruiqi Gao,Ying Nian Wu

THIRTY-SECOND AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTIETH INNOVATIVE APPLICATIONS OF ARTI..., pp.4292-4301, (2018)

Cited by25EIBibtex

Cooperative Learning of Descriptor and Generator Networks

Jianwen Xie, Yang Lu,Ruiqi Gao,Song-Chun Zhu,Ying Nian Wu

IEEE Transactions on Pattern Analysis and Machine Intelligence, no. 1 (2018): 27-45

Cited by51WOSEIBibtex

View All

Base Info Papers Patents Projects

Ruiqi GaoBinding

Papers27 papers

Ruiqi Gao