Adrish Dey

Bayesian hacker and a Wannabe Topologist 🍩. Treasure Hunting in Non-Euclidean Spaces 🗺️.

I’m a Machine Learning Engineer at Weights and Biases. I recieved my Bachelor’s Degree in Computer Science and Engineering from Netaji Subhash Engineering College. Currently, I am based out of Kolkata. I’m also an independent researcher, interested in exploring complicated problems in geometric and topological data processing.

When I’m not working, you can find me flying ✈️ in Microsoft Flight Simulator.

Research Interests

Although my research interests spans a wide variety of topics, you can find me tweeting mostly about:

  • Geometric and Topological Deep Learning
  • Geometric Statistics
  • Geometry Processing
  • Topological Data Analysis
  • Optimal Transport
  • Generative Models
  • Implicit Deep Learning

You can find CV Here. If there’s something I can help you about, or if you want to discuss abount some cool research problems, feel free to drop me a 📨 @ adrishd.cse2017@nsec.ac.in. More social / academic URLs can be found below 👇

news

Oct 21, 2021 Excited to share, starting Novemeber, I am joining Weights and Biases as a Deep Learning Engineer ✨
Mar 16, 2021 Excited to share I just accepted an offer for Summer Research Fellowship with Geometric Data Processing lab, at MIT CSAIL. 💫 🥳 🎉
Mar 12, 2021 Excited to share, that I will be volunteering as a reviewer for Geometry and Topology in Representation Learning Workshop @ ICLR 2021 🎉
Nov 1, 2020 Our work “TopoSampler: A Topology Constrained Noise Sampling for GANs” got accepted for spotlight presentation at Workshop on Topological Data Analysis and Beyond. Yay! :sparkles: :tada:
May 15, 2020 I’ll be joining Dr. Shahrouz Ryan Alimo and his team at Opaltech.ai as a Research Engineering Intern, to work on 3D Scene Reconstruction. :dizzy:
Dec 15, 2019 I’ll be joining rephrase.ai as a Research Intern working on GANs for the next 8 weeks!
May 9, 2019 I got into Google Summer of Code where I’ll be working with the TensorFlow Hub Team building pretrained modules. 🥳 UPDATE: The ESRGAN pretrained module can be found at: https://tfhub.dev/captain-pool/esrgan-tf2/1. And the codebase can be found at: https://github.com/captain-pool/GSOC

publications

  1. NeurIPS TDA ’20
    TopoSampler: A Topology Constrained Noise Sampling for GANs
    Adrish Dey, Sayantan Das
    2020