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11/28/2022
Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models
While the success of diffusion models has been witnessed in various doma...
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05/27/2022
Maximum Likelihood Training of Implicit Nonlinear Diffusion Models
Whereas diverse variations of diffusion models exist, expanding the line...
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03/07/2022
Automatic Calibration Framework of Agent-Based Models for Dynamic and Heterogeneous Parameters
Agent-based models (ABMs) highlight the importance of simulation validat...
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06/10/2021
Score Matching Model for Unbounded Data Score
Recent advance in score-based models incorporates the stochastic differe...
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02/15/2021
Posterior-Aided Regularization for Likelihood-Free Inference
The recent development of likelihood-free inference aims training a flex...
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10/15/2020
Sequential Likelihood-Free Inference with Implicit Surrogate Proposal
Bayesian inference without the access of likelihood, called likelihood-f...
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06/11/2020
Implicit Kernel Attention
Attention compute the dependency between representations, and it encoura...
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05/11/2020
Reference-Based Sketch Image Colorization using Augmented-Self Reference and Dense Semantic Correspondence
This paper tackles the automatic colorization task of a sketch image giv...
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04/13/2020
Adversarial Likelihood-Free Inference on Black-Box Generator
Generative Adversarial Network (GAN) can be viewed as an implicit estima...
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03/04/2020
Generalized Gumbel-Softmax Gradient Estimator for Various Discrete Random Variables
Estimating the gradients of stochastic nodes is one of the crucial resea...
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08/09/2019
