Newbeeer/V-information

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Python
Created over 4 years ago
Updated over 4 years ago

Newbeeer/V-information

Newbeeer

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

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"

Max-MIG

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

Anytime-Auto-Regressive-Model

Code for ICLR 2021 Paper, "Anytime Sampling for Autoregressive Models via Ordered Autoencoding"

TRM

Learning Representations that Support Robust Transfer of Predictors

Semi-supervised-Multi-Modalities-Learning

statistical-learning-course-project