Ishaan Gulrajani

According to our database, Ishaan Gulrajani authored at least 15 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback.

Yann Dubois, Xuechen Li, Rohan Taori, Tianyi Zhang, Ishaan Gulrajani, Jimmy Ba, Carlos Guestrin, Percy Liang, Tatsunori B. Hashimoto

CoRR, 2023

Likelihood-Based Diffusion Language Models.

Ishaan Gulrajani, Tatsunori B. Hashimoto

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Diffusion-LM Improves Controllable Text Generation.

Xiang Lisa Li, John Thickstun, Ishaan Gulrajani, Percy Liang, Tatsunori B. Hashimoto

CoRR, 2022

Diffusion-LM Improves Controllable Text Generation.

Xiang Li, John Thickstun, Ishaan Gulrajani, Percy Liang, Tatsunori B. Hashimoto

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Identifiability Conditions for Domain Adaptation.

Ishaan Gulrajani, Tatsunori Hashimoto

Proceedings of the International Conference on Machine Learning, 2022

2021

In Search of Lost Domain Generalization.

Ishaan Gulrajani, David Lopez-Paz

Proceedings of the 9th International Conference on Learning Representations, 2021

2019

Invariant Risk Minimization.

Martín Arjovsky, Léon Bottou, Ishaan Gulrajani, David Lopez-Paz

CoRR, 2019

Towards GAN Benchmarks Which Require Generalization.

Ishaan Gulrajani, Colin Raffel, Luke Metz

Proceedings of the 7th International Conference on Learning Representations, 2019

GANSynth: Adversarial Neural Audio Synthesis.

Jesse H. Engel, Kumar Krishna Agrawal, Shuo Chen, Ishaan Gulrajani, Chris Donahue, Adam Roberts

Proceedings of the 7th International Conference on Learning Representations, 2019

2017

Improved Training of Wasserstein GANs.

Ishaan Gulrajani, Faruk Ahmed, Martín Arjovsky, Vincent Dumoulin, Aaron C. Courville

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 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

Proceedings of the 5th International Conference on Learning Representations, 2017

PixelVAE: A Latent Variable Model for Natural Images.

Ishaan Gulrajani, Kundan Kumar, Faruk Ahmed, Adrien Ali Taïga, Francesco Visin, David Vázquez, Aaron C. Courville

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

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

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Ask Me Anything: Dynamic Memory Networks for Natural Language Processing.

Ankit Kumar, Ozan Irsoy, Jonathan Su, James Bradbury, Robert English, Brian Pierce, Peter Ondruska, Ishaan Gulrajani, Richard Socher

CoRR, 2015