Search Results for author: Jongmin Yoon

Found 6 papers, 4 papers with code

Sequential Flow Straightening for Generative Modeling

no code implementations9 Feb 2024 Jongmin Yoon, Juho Lee

Straightening the probability flow of the continuous-time generative models, such as diffusion models or flow-based models, is the key to fast sampling through the numerical solvers, existing methods learn a linear path by directly generating the probability path the joint distribution between the noise and data distribution.

Diversity Matters When Learning From Ensembles

no code implementations NeurIPS 2021 Giung Nam, Jongmin Yoon, Yoonho Lee, Juho Lee

We propose a simple approach for reducing this gap, i. e., making the distilled performance close to the full ensemble.

Image Classification

Adversarial purification with Score-based generative models

1 code implementation11 Jun 2021 Jongmin Yoon, Sung Ju Hwang, Juho Lee

Recently, an Energy-Based Model (EBM) trained with Markov-Chain Monte-Carlo (MCMC) has been highlighted as a purification model, where an attacked image is purified by running a long Markov-chain using the gradients of the EBM.

Denoising

Fermion Pair Production in SO(5) x U(1) Gauge-Higgs Unification Models

1 code implementation19 Nov 2018 Jongmin Yoon, Michael E. Peskin

We compute fermion pair production cross sections in $e^+e^-$ annihilation in models of electroweak symmetry breaking in warped 5-dimensional space.

High Energy Physics - Phenomenology

Dissection of an SO(5) x U(1) Gauge-Higgs Unification Model

1 code implementation29 Oct 2018 Jongmin Yoon, Michael E. Peskin

We analyze models of electroweak symmetry breaking in warped 5-dimensional space with gauge bosons and fermions in the bulk.

High Energy Physics - Phenomenology

Competing Forces in 5-Dimensional Fermion Condensation

1 code implementation22 Sep 2017 Jongmin Yoon, Michael E. Peskin

We study fermion condensation in the Randall-Sundrum background as a setting for composite Higgs models.

High Energy Physics - Phenomenology

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