Yilun Xu

Poisson_flow. Code for NeurIPS 2022 Paper, "Poisson Flow Generative Models" (PFGM)

pfgmpp. Code for ICML 2023 paper, "PFGM++: Unlocking the Potential of Physics-Inspired Generative Models"

diffusion_restart_sampling. Code for NeurIPS 2023 paper "Restart Sampling for Improving Generative Processes"

L_DMI. Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"

stf. Code for ICLR 2023 Paper, "Stable Target Field for Reduced Variance Score Estimation in Diffusion Models”

orthogonal_classifier. Code for ICLR 2022 Paper, "Controlling Directions Orthogonal to a Classifier"

V-information. Code for the ICLR 2020 Paper, "A Theory of Usable Information under Computational Constraints"

Anytime-Auto-Regressive-Model. Code for ICLR 2021 Paper, "Anytime Sampling for Autoregressive Models via Ordered Autoencoding"

Max-MIG. Code for ICLR 2019 Paper, "MAX-MIG: AN INFORMATION THEORETIC APPROACH FOR JOINT LEARNING FROM CROWDS"

TRM. Learning Representations that Support Robust Transfer of Predictors

particle-guidance. Implementation of Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models

Deep-Learning-Papers-Reading-Roadmap. Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

Semi-supervised-Multi-Modalities-Learning. Python

A-Survey-on-Generative-Diffusion-Model.

statistical-learning-course-project. TeX