Zhisheng Xiao | DeepAI

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∙ 09/19/2022

Adaptive Multi-stage Density Ratio Estimation for Learning Latent Space Energy-based Model

This paper studies the fundamental problem of learning energy-based mode...

11 Zhisheng Xiao, et al. ∙

∙ 12/15/2021

Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

A wide variety of deep generative models has been developed in the past ...

0 Zhisheng Xiao, et al. ∙

∙ 05/19/2021

Do We Really Need to Learn Representations from In-domain Data for Outlier Detection?

Unsupervised outlier detection, which predicts if a test sample is an ou...

0 Zhisheng Xiao, et al. ∙

∙ 02/23/2021

EBMs Trained with Maximum Likelihood are Generator Models Trained with a Self-adverserial Loss

Maximum likelihood estimation is widely used in training Energy-based mo...

5 Zhisheng Xiao, et al. ∙

∙ 10/31/2020

ControlVAE: Tuning, Analytical Properties, and Performance Analysis

This paper reviews the novel concept of controllable variational autoenc...

0 Huajie Shao, et al. ∙

∙ 10/01/2020

VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models

Energy-based models (EBMs) have recently been successful in representing...

23 Zhisheng Xiao, et al. ∙

∙ 06/15/2020

Exponential Tilting of Generative Models: Improving Sample Quality by Training and Sampling from Latent Energy

In this paper, we present a general method that can improve the sample q...

0 Zhisheng Xiao, et al. ∙

∙ 03/06/2020

Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder

Deep probabilistic generative models enable modeling the likelihoods of ...

0 Zhisheng Xiao, et al. ∙

∙ 11/05/2019

A Method to Model Conditional Distributions with Normalizing Flows

In this work, we investigate the use of normalizing flows to model condi...

13 Zhisheng Xiao, et al. ∙

∙ 10/10/2019

Understanding Limitation of Two Symmetrized Orders by Worst-case Complexity

It was recently found that the standard version of multi-block cyclic AD...

0 Peijun Xiao, et al. ∙

∙ 05/24/2019

Generative Latent Flow: A Framework for Non-adversarial Image Generation

Generative Adversarial Networks (GANs) have been shown to outperform non...

0 Zhisheng Xiao, et al. ∙

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