Ishaan Gulrajani

22 papers A* 6Journal 11Unranked 5

Year	Rank	Type	Title / 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