Ishaan Gulrajani

Hi! I'm a PhD student at Stanford studying machine learning. Previously I've worked at Facebook AI Research, Google Brain, and Mila.

I'm interested in principled approaches to out-of-distribution generalization, causal inference, and unsupervised learning.

Outside of work, I perform improv comedy (poorly) and play the piano (even moreso).

Email: igul222 at gmail.com
Google Scholar

Papers

• Invariant Risk Minimization
  Martin Arjovsky, Léon Bottou, Ishaan Gulrajani, David Lopez-Paz. arXiv preprint.

• Towards GAN Benchmarks Which Require Generalization
  Ishaan Gulrajani, Colin Raffel, Luke Metz. ICLR 2019.

• GANSynth: Adversarial Neural Audio Synthesis
  Jesse Engel, Kumar Krishna Agrawal, Shuo Chen, Ishaan Gulrajani, Chris Donahue, Adam Roberts. ICLR 2019.

• Improved Training of Wasserstein GANs
  Ishaan Gulrajani, Faruk Ahmed, Martin Arjovsky, Vincent Dumoulin, Aaron Courville. NIPS 2017.

• PixelVAE: A Latent Variable Model for Natural Images
  Ishaan Gulrajani, Kundan Kumar, Faruk Ahmed, Adrien Ali Taiga, Francesco Visin, David Vazquez, Aaron Courville. ICLR 2017.

• SampleRNN: An Unconditional End-to-End Neural Audio Generation Model
  Soroush Mehri, Kundan Kumar, Ishaan Gulrajani, Rithesh Kumar, Shubham Jain, Jose Sotelo, Aaron Courville, Yoshua Bengio. ICLR 2017.

• Ask Me Anything: Dynamic Memory Networks for Natural Language Processing
  Ankit Kumar, Ozan Irsoy, Peter Ondruska, Mohit Iyyer, James Bradbury, Ishaan Gulrajani, Victor Zhong, Romain Paulus, Richard Socher. ICML 2016.