Sangwoong Yoon

pytorch-energy-based-model. Simple illustrative examples for energy-based models in PyTorch

pytorch-minimal-gaussian-process. A minimal implementation of Gaussian process regression in PyTorch

normalized-autoencoders. The official repository for <Autoencoding Under Normalization Constraints> (Yoon, Noh and Park, ICML 2021).

Diffusion-by-MaxEntIRL. The official repository for NeurIPS 2024 Oral <Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models>

MLConfCrawl. crawling papers from prestigious ml conferences

kias-hyu-diffusion-tutorial-2023. Jupyter Notebook

projsplx. A pure Numpy implementation of the simplex projection algorithm presented in (Chen and Ye, 2011)

aaai2021-scene-graph-img-retr. Jupyter Notebook

value-gradient-sampler. The official repository of Value Gradient Sampler

outlier-reconstruction. Web demo for outlier reconstruction phenomenon of autoencoders

variationally-weighted-kernel-density-estimation. Python

manifold-projection-diffusion-recovery-pytorch. Jupyter Notebook

DiRect. A Python implementation of DiRect, an unconstrained global optimization algorithm by Jones, Perttunen, and Stuckman (1993).

BCTJV-GP-Tutorial. A Gaussian Process Tutorial @BCTJV

pytorch-glow-that-works. Python

image-retrieval. Jupyter Notebook

tutorial-comparing-distributions. A tutorial on various divergence measures. Originally for the rookie seminar of Biointelligence Laboratory.

evaluation-via-generation. Official repository of <Evaluating Out-of-Distribution Detectors Through Adversarial Generation of Outliers>.