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ORCIDIshaan Gulrajani
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2020 – today
- 2023
[c11]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- [c10]Ishaan Gulrajani, Tatsunori B. Hashimoto:
Likelihood-Based Diffusion Language Models. NeurIPS 2023 - [i11]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 abs/2305.14387 (2023) - [i10]Ishaan Gulrajani, Tatsunori B. Hashimoto:
Likelihood-Based Diffusion Language Models. CoRR abs/2305.18619 (2023) - 2022
- [c9]Ishaan Gulrajani, Tatsunori Hashimoto:
Identifiability Conditions for Domain Adaptation. ICML 2022: 7982-7997 - [c8]Xiang Lisa Li, John Thickstun, Ishaan Gulrajani, Percy Liang, Tatsunori B. Hashimoto:
Diffusion-LM Improves Controllable Text Generation. NeurIPS 2022 - [i9]Xiang Lisa Li, John Thickstun, Ishaan Gulrajani, Percy Liang, Tatsunori B. Hashimoto:
Diffusion-LM Improves Controllable Text Generation. CoRR abs/2205.14217 (2022) - 2021
- [c7]Ishaan Gulrajani, David Lopez-Paz:
In Search of Lost Domain Generalization. ICLR 2021 - 2020
- [i8]Ishaan Gulrajani, Colin Raffel, Luke Metz:
Towards GAN Benchmarks Which Require Generalization. CoRR abs/2001.03653 (2020) - [i7]Ishaan Gulrajani, David Lopez-Paz:
In Search of Lost Domain Generalization. CoRR abs/2007.01434 (2020)
2010 – 2019
- 2019
- [c6]Jesse H. Engel, Kumar Krishna Agrawal, Shuo Chen, Ishaan Gulrajani, Chris Donahue, Adam Roberts:
GANSynth: Adversarial Neural Audio Synthesis. ICLR (Poster) 2019 - [c5]Ishaan Gulrajani, Colin Raffel, Luke Metz:
Towards GAN Benchmarks Which Require Generalization. ICLR (Poster) 2019 - [i6]Jesse H. Engel, Kumar Krishna Agrawal, Shuo Chen, Ishaan Gulrajani, Chris Donahue, Adam Roberts:
GANSynth: Adversarial Neural Audio Synthesis. CoRR abs/1902.08710 (2019) - [i5]Martín Arjovsky, Léon Bottou, Ishaan Gulrajani, David Lopez-Paz:
Invariant Risk Minimization. CoRR abs/1907.02893 (2019) - 2017
- [c4]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 - [c3]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 - [c2]Ishaan Gulrajani, Faruk Ahmed, Martín Arjovsky, Vincent Dumoulin, Aaron C. Courville:
Improved Training of Wasserstein GANs. NIPS 2017: 5767-5777 - [i4]Ishaan Gulrajani, Faruk Ahmed, Martín Arjovsky, Vincent Dumoulin, Aaron C. Courville:
Improved Training of Wasserstein GANs. CoRR abs/1704.00028 (2017) - 2016
- [c1]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: 1378-1387 - [i3]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 abs/1611.05013 (2016) - [i2]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 abs/1612.07837 (2016) - 2015
- [i1]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 abs/1506.07285 (2015)
Coauthor Index
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