Ishaan Gulrajani

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 21

Top Topics

Text Generation

Statistics Of Natural Images

Neural Computation

Top Venues

Publications

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