Ask Me Anything: Dynamic Memory Networks for Natural Language Processing. - Ankit Kumar; Ozan Irsoy; Peter Ondruska; Mohit Iyyer; James Bradbury 002; Ishaan Gulrajani; Victor Zhong; Romain Paulus; Richard Socher (ICML, 2016)

PixelVAE: A Latent Variable Model for Natural Images. - Ishaan Gulrajani; Kundan Kumar; Faruk Ahmed; Adrien Ali Taïga; Francesco Visin; David Vázquez 001; Aaron C. Courville (ICLR (Poster), 2017)

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

Improved Training of Wasserstein GANs. - Ishaan Gulrajani; Faruk Ahmed; Martín Arjovsky; Vincent Dumoulin; Aaron C. Courville (NIPS, 2017)

GANSynth: Adversarial Neural Audio Synthesis. - Jesse H. Engel; Kumar Krishna Agrawal; Shuo Chen; Ishaan Gulrajani; Chris Donahue; Adam Roberts (ICLR (Poster), 2019)

Towards GAN Benchmarks Which Require Generalization. - Ishaan Gulrajani; Colin Raffel; Luke Metz (ICLR (Poster), 2019)

Invariant Risk Minimization. - Martín Arjovsky; Léon Bottou; Ishaan Gulrajani; David Lopez-Paz (CoRR, 2019)

In Search of Lost Domain Generalization. - Ishaan Gulrajani; David Lopez-Paz (ICLR, 2021)

Identifiability Conditions for Domain Adaptation. - Ishaan Gulrajani; Tatsunori Hashimoto (ICML, 2022)

Diffusion-LM Improves Controllable Text Generation. - Xiang Lisa Li; John Thickstun; Ishaan Gulrajani; Percy Liang; Tatsunori B. Hashimoto (NeurIPS, 2022)

AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback. - Yann Dubois; Chen Xuechen Li; Rohan Taori; Tianyi Zhang; Ishaan Gulrajani; Jimmy Ba; Carlos Guestrin; Percy Liang; Tatsunori B. Hashimoto (NeurIPS, 2023)

Likelihood-Based Diffusion Language Models. - Ishaan Gulrajani; Tatsunori B. Hashimoto (NeurIPS, 2023)

AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback. - Yann Dubois; Xuechen Li 005; Rohan Taori; Tianyi Zhang; Ishaan Gulrajani; Jimmy Ba; Carlos Guestrin; Percy Liang; Tatsunori B. Hashimoto (CoRR, 2023)