Ruiqi Gao | DeepAI

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∙ 09/10/2023

Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood

Training energy-based models (EBMs) with maximum likelihood estimation o...

0 Yaxuan Zhu, et al. ∙

∙ 03/01/2023

Understanding the Diffusion Objective as a Weighted Integral of ELBOs

Diffusion models in the literature are optimized with various objectives...

3 Diederik P. Kingma, et al. ∙

∙ 10/06/2022

On Distillation of Guided Diffusion Models

Classifier-free guided diffusion models have recently been shown to be h...

12 Chenlin Meng, et al. ∙

∙ 10/05/2022

Imagen Video: High Definition Video Generation with Diffusion Models

We present Imagen Video, a text-conditional video generation system base...

16 Jonathan Ho, et al. ∙

∙ 04/04/2021

Learning Neural Representation of Camera Pose with Matrix Representation of Pose Shift via View Synthesis

How to effectively represent camera pose is an essential problem in 3D c...

12 Yaxuan Zhu, et al. ∙

∙ 02/22/2021

A Theory of Label Propagation for Subpopulation Shift

One of the central problems in machine learning is domain adaptation. Un...

4 Tianle Cai, et al. ∙

∙ 09/22/2020

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

Network pruning is a method for reducing test-time computational resourc...

18 Jingtong Su, et al. ∙

∙ 06/18/2020

A Representational Model of Grid Cells Based on Matrix Lie Algebras

The grid cells in the mammalian medial entorhinal cortex exhibit strikin...

13 Ruiqi Gao, et al. ∙

∙ 06/12/2020

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

Learning energy-based model (EBM) requires MCMC sampling of the learned ...

61 Erik Nijkamp, et al. ∙

∙ 12/02/2019

Flow Contrastive Estimation of Energy-Based Models

This paper studies a training method to jointly estimate an energy-based...

43 Ruiqi Gao, et al. ∙

∙ 11/26/2019

Representation Learning: A Statistical Perspective

Learning representations of data is an important problem in statistics a...

33 Jianwen Xie, et al. ∙

∙ 11/26/2019

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

Dynamic patterns are characterized by complex spatial and motion pattern...

16 Jianwen Xie, et al. ∙

∙ 06/19/2019

Convergence of Adversarial Training in Overparametrized Networks

Neural networks are vulnerable to adversarial examples, i.e. inputs that...

0 Ruiqi Gao, et al. ∙

∙ 05/28/2019

A Gram-Gauss-Newton Method Learning Overparameterized Deep Neural Networks for Regression Problems

First-order methods such as stochastic gradient descent (SGD) are curren...

0 Tianle Cai, et al. ∙

∙ 01/24/2019

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

This paper entertains the hypothesis that the primary purpose of the cel...

0 Ruiqi Gao, et al. ∙

∙ 12/27/2018

Learning Dynamic Generator Model by Alternating Back-Propagation Through Time

This paper studies the dynamic generator model for spatial-temporal proc...

2 Jianwen Xie, et al. ∙

∙ 10/12/2018

Learning Grid-like Units with Vector Representation of Self-Position and Matrix Representation of Self-Motion

This paper proposes a model for learning grid-like units for spatial awa...

0 Ruiqi Gao, et al. ∙

∙ 10/09/2018

A Tale of Three Probabilistic Families: Discriminative, Descriptive and Generative Models

The pattern theory of Grenander is a mathematical framework where the pa...

22 Ying Nian Wu, et al. ∙

∙ 06/16/2018

Deformable Generator Network: Unsupervised Disentanglement of Appearance and Geometry

We propose a deformable generator model to disentangle the appearance an...

0 Xianglei Xing, et al. ∙

∙ 04/02/2018

Learning Descriptor Networks for 3D Shape Synthesis and Analysis

This paper proposes a 3D shape descriptor network, which is a deep convo...

0 Jianwen Xie, et al. ∙

∙ 09/26/2017

Learning Multi-grid Generative ConvNets by Minimal Contrastive Divergence

This paper proposes a minimal contrastive divergence method for learning...

0 Ruiqi Gao, et al. ∙

∙ 09/29/2016

Cooperative Training of Descriptor and Generator Networks

This paper studies the cooperative training of two probabilistic models ...

0 Jianwen Xie, et al. ∙

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