Mountain View, CA

Yogesh Balaji

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@yogeshbalaji

I am a research scientist at Nvidia. My research interests are in the areas of machine learning and computer vision.

yogeshbalaji.github.io/

Generate_To_Adapt. Implementation of "Generate To Adapt: Aligning Domains using Generative Adversarial Networks"

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robustOT. Robust Optimal Transport code

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Meta-Learning-Domain-Generalization. Python

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InvGAN. Official codebase of our paper "Invert and Defend: Model-based Approximate Inversion of Generative Adversarial Network For Secure Inference"

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Adversarial-training. PGD adversarial training in PyTorch

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Normalized-Wasserstein. Normalized Wasserstein for Mixture Distributions

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EntropicGANs_meet_VAEs. Official implementation of "EntropicGANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs"

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CVPR17_Unrolling_the_shutter. Repository for the project "Unrolling the Shutter: CNN to Correct Motion Distortions"

8

Instance_Adaptive_Adversarial_Training. Python

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