John Thickstun

43 papers A* 4Misc 1Journal 29Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Scaling Beyond Masked Diffusion Language Models. CoRR Subham Sekhar Sahoo, Jean-Marie Lemercier, Zhihan Yang, Justin Deschenaux, Jingyu Liu, John Thickstun, Ante Jukic
2025	—	`conf`	Aligning Text-to-Music Evaluation with Human Preferences. ISMIR Yichen Huang, Zachary Novack, Koichi Saito, Jiatong Shi, Shinji Watanabe, Yuki Mitsufuji, John Thickstun, Chris Donahue
2025	J	`jnl`	Aligning Text-to-Music Evaluation with Human Preferences. CoRR Yichen Huang, Zachary Novack, Koichi Saito, Jiatong Shi, Shinji Watanabe, Yuki Mitsufuji, John Thickstun, Chris Donahue
2025	J	`jnl`	Benchmark Datasets for Lead-Lag Forecasting on Social Platforms. CoRR Kimia Kazemian, Zhenzhen Liu, Yangfanyu Yang, Katie Z. Luo, Shuhan Gu, Audrey Du, Xinyu Yang, Jack Jansons, Kilian Q. Weinberger, John Thickstun, Yian Yin, Sarah Dean
2025	J	`jnl`	Esoteric Language Models. CoRR Subham Sekhar Sahoo, Zhihan Yang, Yash Akhauri, Johnna Liu, Deepansha Singh, Zhoujun Cheng, Zhengzhong Liu, Eric Xing, John Thickstun, Arash Vahdat
2025	J	`jnl`	Factual and Musical Evaluation Metrics for Music Language Models. CoRR Daniel Chenyu Lin, Michael Freeman, John Thickstun
2025	J	`jnl`	Hookpad Aria: A Copilot for Songwriters. CoRR Chris Donahue, Shih-Lun Wu, Yewon Kim, Dave B. Carlton, Ryan H. Miyakawa, John Thickstun
2025	J	`jnl`	Robust Neural Audio Fingerprinting using Music Foundation Models. CoRR Shubhr Singh, Kiran Bhat, Xavier Riley, Benjamin Resnick, John Thickstun, Walter De Brouwer
2024	J	`jnl`	Anticipatory Music Transformer. Trans. Mach. Learn. Res. John Thickstun, David Leo Wright Hall, Chris Donahue, Percy Liang
2024	J	`jnl`	Constrained Diffusion Implicit Models. CoRR Vivek Jayaram, Ira Kemelmacher-Shlizerman, Steven M. Seitz, John Thickstun
2024	J	`jnl`	Robust Distortion-free Watermarks for Language Models. Trans. Mach. Learn. Res. Rohith Kuditipudi, John Thickstun, Tatsunori Hashimoto, Percy Liang
2023	J	`jnl`	Anticipatory Music Transformer. CoRR John Thickstun, David Hall, Chris Donahue, Percy Liang
2023	—	`conf`	Backpack Language Models. ACL (1) John Hewitt, John Thickstun, Christopher D. Manning, Percy Liang
2023	J	`jnl`	Backpack Language Models. CoRR John Hewitt, John Thickstun, Christopher D. Manning, Percy Liang
2023	J	`jnl`	Evaluating Human-Language Model Interaction. Trans. Mach. Learn. Res. Mina Lee, Megha Srivastava, Amelia Hardy, John Thickstun, Esin Durmus, Ashwin Paranjape, Ines Gerard-Ursin, Xiang Lisa Li, Faisal Ladhak, Frieda Rong, Rose E. Wang, Minae Kwon, Joon Sung Park, Hancheng Cao, Tony Lee, Rishi Bommasani, Michael S. Bernstein, Percy Liang
2023	J	`jnl`	MAUVE Scores for Generative Models: Theory and Practice. J. Mach. Learn. Res. Krishna Pillutla, Lang Liu, John Thickstun, Sean Welleck, Swabha Swayamdipta, Rowan Zellers, Sewoong Oh, Yejin Choi, Zaïd Harchaoui
2023	J	`jnl`	Robust Distortion-free Watermarks for Language Models. CoRR Rohith Kuditipudi, John Thickstun, Tatsunori Hashimoto, Percy Liang
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	J	`jnl`	Evaluating Human-Language Model Interaction. CoRR Mina Lee, Megha Srivastava, Amelia Hardy, John Thickstun, Esin Durmus, Ashwin Paranjape, Ines Gerard-Ursin, Xiang Lisa Li, Faisal Ladhak, Frieda Rong, Rose E. Wang, Minae Kwon, Joon Sung Park, Hancheng Cao, Tony Lee, Rishi Bommasani, Michael S. Bernstein, Percy Liang
2022	J	`jnl`	MAUVE Scores for Generative Models: Theory and Practice. CoRR Krishna Pillutla, Lang Liu, John Thickstun, Sean Welleck, Swabha Swayamdipta, Rowan Zellers, Sewoong Oh, Yejin Choi, Zaïd Harchaoui
2022	—	`conf`	Melody transcription via generative pre-training. ISMIR Chris Donahue, John Thickstun, Percy Liang
2022	J	`jnl`	Melody transcription via generative pre-training. CoRR Chris Donahue, John Thickstun, Percy Liang
2021	—	`conf`	Faster Policy Learning with Continuous-Time Gradients. L4DC Samuel K. Ainsworth, Kendall Lowrey, John Thickstun, Zaïd Harchaoui, Siddhartha S. Srinivasa
2021	—	`—`	Leveraging Generative Models for Music and Signal Processing. John Thickstun
2021	J	`jnl`	MAUVE: Human-Machine Divergence Curves for Evaluating Open-Ended Text Generation. CoRR Krishna Pillutla, Swabha Swayamdipta, Rowan Zellers, John Thickstun, Yejin Choi, Zaïd Harchaoui
2021	A*	`conf`	MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers. NeurIPS Krishna Pillutla, Swabha Swayamdipta, Rowan Zellers, John Thickstun, Sean Welleck, Yejin Choi, Zaïd Harchaoui
2021	A*	`conf`	Parallel and Flexible Sampling from Autoregressive Models via Langevin Dynamics. ICML Vivek Jayaram, John Thickstun
2021	J	`jnl`	Parallel and Flexible Sampling from Autoregressive Models via Langevin Dynamics. CoRR Vivek Jayaram, John Thickstun
2020	—	`conf`	An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction. EMNLP (1) Bhargavi Paranjape, Mandar Joshi, John Thickstun, Hannaneh Hajishirzi, Luke Zettlemoyer
2020	J	`jnl`	An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction. CoRR Bhargavi Paranjape, Mandar Joshi, John Thickstun, Hannaneh Hajishirzi, Luke Zettlemoyer
2020	J	`jnl`	Faster Policy Learning with Continuous-Time Gradients. CoRR Samuel K. Ainsworth, Kendall Lowrey, John Thickstun, Zaïd Harchaoui, Siddhartha S. Srinivasa
2020	J	`jnl`	Rethinking Evaluation Methodology for Audio-to-Score Alignment. CoRR John Thickstun, Jennifer Brennan, Harsh Verma
2020	A*	`conf`	Source Separation with Deep Generative Priors. ICML Vivek Jayaram, John Thickstun
2020	J	`jnl`	Source Separation with Deep Generative Priors. CoRR Vivek Jayaram, John Thickstun
2019	—	`conf`	Convolutional Composer Classification. ISMIR Harsh Verma, John Thickstun
2019	J	`jnl`	Convolutional Composer Classification. CoRR Harsh Verma, John Thickstun
2019	—	`conf`	Coupled Recurrent Models for Polyphonic Music Composition. ISMIR John Thickstun, Zaïd Harchaoui, Dean P. Foster, Sham M. Kakade
2018	J	`jnl`	Coupled Recurrent Models for Polyphonic Music Composition. CoRR John Thickstun, Zaïd Harchaoui, Dean P. Foster, Sham M. Kakade
2018	Misc	`conf`	Invariances and Data Augmentation for Supervised Music Transcription. ICASSP John Thickstun, Zaïd Harchaoui, Dean P. Foster, Sham M. Kakade
2017	J	`jnl`	Invariances and Data Augmentation for Supervised Music Transcription. CoRR John Thickstun, Zaïd Harchaoui, Dean P. Foster, Sham M. Kakade
2017	—	`conf`	Learning Features of Music From Scratch. ICLR (Poster) John Thickstun, Zaïd Harchaoui, Sham M. Kakade
2016	J	`jnl`	Learning Features of Music from Scratch. CoRR John Thickstun, Zaïd Harchaoui, Sham M. Kakade