Anant Gupta

Note: The following is outdated.

I’m a Masters student at NYU with a focus on Deep Learning.
I interned at Imagen during Summer 2018 with Christian Ledig and Sumit Chopra.
Previously, I’ve worked as a Software Developer at Zomato and owned an ecommerce/logistics startup.

Education

• M.S., Computer Science, New York University, 2017-
• B.Tech., Computer Science, VIT University, India, 2014

Research Interests

• Representation learning
• Generative Models
• Natural language understanding
• Machine Learning for Healthcare

Academic Projects

• Learning object dynamics in video generation, May 2018. [pdf] [slides] (advisor: Emily Denton & Rob Fergus)
• Graph Neural Networks for Device Placement Problem: Review paper, May 2018. [pdf] (advisor: Joan Bruna)
• Composable Unpaired Image­-to-­Image Translation, December 2017. [pdf] [poster] [code] (advisor: Rob Fergus)
• Learning to tag diagnoses codes from Clinical Notes, December 2017. [pdf] [code] (advisor: Kyunghyun Cho)
• Predicting Onset of Imminent Diseases using historical EHR, December 2017. [pdf] [slides] (advisor: Mehyrar Mohri, Narges Razavian)

Recent Courses

• Deep Generative Models, Rajesh Ranganath
• Mathematics of Deep Leaning, Joan Bruna
• Natural Language Understanding and Representation Learning, Kyunghyun Cho & Sam Bowman
• Computer Vision, Rob Fergus
• Foundations of Machine Learning, Mehyrar Mohri

Teaching

• Fall 18 - Computer Vision
• Fall 18 - Natural Language Processing with Representation Learning

Open Source Implementation (< Summer 2017)

• BEGAN (PyTorch)
• Gated Conditional PixelCNN (Tensorflow)
• Language Modeling with GatedCNN (Tensorflow)
• Visual Question Answering task (Keras)
• E-commerce platform: Ostrich (Flask + ReactJS)

Recent Reading

• Deep Learning, Goodfellow
• Sapiens, Harari
• Thinking fast and slow, Kahneman