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Hi there πŸ‘‹

I am listing here some of my best works, whose code, unfortunately, I cannot post publicly due to some propreitary reasons, but are available in the form of research publications:

  1. FragNet, a Contrastive Learning-Based Transformer Model for Clustering, Interpreting, Visualizing, and Navigating Chemical Space. (Paper Link)
  2. MassGenie: A Transformer-Based Deep Learning Method for Identifying Small Molecules from Their Mass Spectra. (Paper Link)
  3. A deep learning based approach for trajectory estimation using geographically clustered data. (Paper Link)
  4. An Online Planning Agent to Optimize the Policy of Resources Management. (Paper Link)
  5. Adma: A Flexible Loss Function for Neural Networks. (Paper Link)

Aditya Shrivastava's Projects

cats-vs-dogs icon cats-vs-dogs

Implemention of Convolutional Neural Nets on Cats-vs-Dogs dataset.

cses icon cses

My solutions to the CSES problem set

deeprm icon deeprm

Resource Management with Deep Reinforcement Learning (HotNets '16)

evasionattacks icon evasionattacks

Two white-box evasion attacks– FGSM + PGD– on a LeNet-5 model trained on Fashion MNIST

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