Ishaan Gulrajani

22 papers A* 6Journal 11Unranked 5
YearRankTypeTitle / Venue / Authors
2023 A* conf
AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback.
NeurIPS
Yann Dubois, Chen Xuechen Li, Rohan Taori, Tianyi Zhang, Ishaan Gulrajani, Jimmy Ba, Carlos Guestrin, Percy Liang, Tatsunori B. Hashimoto
2023 J jnl
AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback.
CoRR
Yann Dubois, Xuechen Li, Rohan Taori, Tianyi Zhang, Ishaan Gulrajani, Jimmy Ba, Carlos Guestrin, Percy Liang, Tatsunori B. Hashimoto
2023 A* conf
Likelihood-Based Diffusion Language Models.
NeurIPS
Ishaan Gulrajani, Tatsunori B. Hashimoto
2023 J jnl
Likelihood-Based Diffusion Language Models.
CoRR
Ishaan Gulrajani, Tatsunori B. Hashimoto
2022 A* conf
Diffusion-LM Improves Controllable Text Generation.
NeurIPS
Xiang Lisa Li, John Thickstun, Ishaan Gulrajani, Percy Liang, Tatsunori B. Hashimoto
2022 J jnl
Diffusion-LM Improves Controllable Text Generation.
CoRR
Xiang Lisa Li, John Thickstun, Ishaan Gulrajani, Percy Liang, Tatsunori B. Hashimoto
2022 A* conf
Identifiability Conditions for Domain Adaptation.
ICML
Ishaan Gulrajani, Tatsunori Hashimoto
2021 A* conf
In Search of Lost Domain Generalization.
ICLR
Ishaan Gulrajani, David Lopez-Paz
2020 J jnl
In Search of Lost Domain Generalization.
CoRR
Ishaan Gulrajani, David Lopez-Paz
2020 J jnl
Towards GAN Benchmarks Which Require Generalization.
CoRR
Ishaan Gulrajani, Colin Raffel, Luke Metz
2019 — conf
GANSynth: Adversarial Neural Audio Synthesis.
ICLR (Poster)
Jesse H. Engel, Kumar Krishna Agrawal, Shuo Chen, Ishaan Gulrajani, Chris Donahue, Adam Roberts
2019 J jnl
GANSynth: Adversarial Neural Audio Synthesis.
CoRR
Jesse H. Engel, Kumar Krishna Agrawal, Shuo Chen, Ishaan Gulrajani, Chris Donahue, Adam Roberts
2019 J jnl
Invariant Risk Minimization.
CoRR
Martín Arjovsky, Léon Bottou, Ishaan Gulrajani, David Lopez-Paz
2019 — conf
Towards GAN Benchmarks Which Require Generalization.
ICLR (Poster)
Ishaan Gulrajani, Colin Raffel, Luke Metz
2017 — conf
Improved Training of Wasserstein GANs.
NIPS
Ishaan Gulrajani, Faruk Ahmed, Martín Arjovsky, Vincent Dumoulin, Aaron C. Courville
2017 J jnl
Improved Training of Wasserstein GANs.
CoRR
Ishaan Gulrajani, Faruk Ahmed, Martín Arjovsky, Vincent Dumoulin, Aaron C. Courville
2017 — conf
PixelVAE: A Latent Variable Model for Natural Images.
ICLR (Poster)
Ishaan Gulrajani, Kundan Kumar, Faruk Ahmed, Adrien Ali Taïga, Francesco Visin, David Vázquez, Aaron C. Courville
2017 — conf
SampleRNN: An Unconditional End-to-End Neural Audio Generation Model.
ICLR (Poster)
Soroush Mehri, Kundan Kumar, Ishaan Gulrajani, Rithesh Kumar, Shubham Jain, Jose Sotelo, Aaron C. Courville, Yoshua Bengio
2016 A* conf
Ask Me Anything: Dynamic Memory Networks for Natural Language Processing.
ICML
Ankit Kumar, Ozan Irsoy, Peter Ondruska, Mohit Iyyer, James Bradbury, Ishaan Gulrajani, Victor Zhong, Romain Paulus, Richard Socher
2016 J jnl
PixelVAE: A Latent Variable Model for Natural Images.
CoRR
Ishaan Gulrajani, Kundan Kumar, Faruk Ahmed, Adrien Ali Taïga, Francesco Visin, David Vázquez, Aaron C. Courville
2016 J jnl
SampleRNN: An Unconditional End-to-End Neural Audio Generation Model.
CoRR
Soroush Mehri, Kundan Kumar, Ishaan Gulrajani, Rithesh Kumar, Shubham Jain, Jose Sotelo, Aaron C. Courville, Yoshua Bengio
2015 J jnl
Ask Me Anything: Dynamic Memory Networks for Natural Language Processing.
CoRR
Ankit Kumar, Ozan Irsoy, Peter Ondruska, Mohit Iyyer, James Bradbury, Ishaan Gulrajani, Victor Zhong, Romain Paulus, Richard Socher