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Research interests - Uncertainty quantification, Information theoretic machine learning, post-hoc explainability
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Reconstruction-of-Flows
Reconstruction-of-Flows PublicSuper resolution reconstruction in computational fluid dynamics. Proposed a novel autoencoder architecture to improve over existing results.
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Sharpness-improvement-in-VAE-and-VAE-GANs
Sharpness-improvement-in-VAE-and-VAE-GANs PublicWe introduce a new loss term as an attempt to improve sharpness in variational autoencoders. Attempted the same on Variational Autoencoder generative adversarial network.
Jupyter Notebook 4
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cs265-mlsys-2024
cs265-mlsys-2024 PublicForked from aetherrine/cs265-mlsys-2024
ML Systems Research Project
Python
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uncertainty-quantification-nle
uncertainty-quantification-nle PublicUncertainty Quantification in Natural Language Explanations of Language Models
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