Követés
John Thickstun
John Thickstun
Assistant Professor, Cornell University
E-mail megerősítve itt: cornell.edu - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Diffusion-LM Improves Controllable Text Generation
XL Li, J Thickstun, I Gulrajani, P Liang, TB Hashimoto
Advances in Neural Information Processing Systems (Neurips), 2022
7632022
MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers
K Pillutla, S Swayamdipta, R Zellers, J Thickstun, S Welleck, Y Choi, ...
Advances in Neural Information Processing Systems (Neurips), 2021
3442021
Learning Features of Music from Scratch
J Thickstun, Z Harchaoui, S Kakade
International Conference on Learning Representations (ICLR), 2017
2542017
Robust Distortion-free Watermarks for Language Models
R Kuditipudi, J Thickstun, T Hashimoto, P Liang
Transactions on Machine Learning Research (TMLR), 2024
1522024
Evaluating Human-Language Model Interaction
M Lee, M Srivastava, A Hardy, J Thickstun, E Durmus, A Paranjape, ...
Transactions on Machine Learning Research (TMLR), 2023
1252023
An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction
B Paranjape, M Joshi, J Thickstun, H Hajishirzi, L Zettlemoyer
Empirical Methods in Natural Language Processing (EMNLP), 2020
1212020
Invariances and Data Augmentation for Supervised Music Transcription
J Thickstun, Z Harchaoui, DP Foster, SM Kakade
International Conference on Acoustics, Speech and Signal Processing (ICASSP …, 2018
782018
Source Separation with Deep Generative Priors
V Jayaram, J Thickstun
International Conference on Machine Learning (ICML), 2020
472020
Parallel and Flexible Sampling from Autoregressive Models via Langevin Dynamics
V Jayaram, J Thickstun
International Conference on Machine Learning (ICML), 2021
292021
Anticipatory Music Transformer
J Thickstun, D Hall, C Donahue, P Liang
Transactions on Machine Learning Research (TMLR), 2024
252024
Melody Transcription via Generative Pre-Training
C Donahue, J Thickstun, P Liang
International Society for Music Information Retrieval (ISMIR), 2022
252022
Backpack Language Models
J Hewitt, J Thickstun, CD Manning, P Liang
Association for Computational Linguistics (ACL), 2023
222023
Convolutional Composer Classification
H Verma, J Thickstun
International Society for Music Information Retrieval (ISMIR), 2019
202019
MAUVE Scores for Generative Models: Theory and Practice
K Pillutla, L Liu, J Thickstun, S Welleck, S Swayamdipta, R Zellers, S Oh, ...
Journal of Machine Learning Research (JMLR), 2023
192023
The Transformer Model in Equations
J Thickstun
University of Washington, Technical Report, 2020
192020
Coupled Recurrent Models for Polyphonic Music Composition
J Thickstun, Z Harchaoui, DP Foster, SM Kakade
International Society for Music Information Retrieval (ISMIR), 2019
142019
Faster Policy Learning with Continuous-Time Gradients
S Ainsworth, K Lowrey, J Thickstun, Z Harchaoui, S Srinivasa
Learning for Dynamics & Control (L4DC), 2021
122021
Rethinking Evaluation Methodology for Audio-to-Score Alignment
J Thickstun, J Brennan, H Verma
arXiv preprint arXiv:2009.14374, 2020
82020
Mercer’s Theorem
J Thickstun
University of Washington, Technical Report, 2019
72019
Kantorovich-Rubinstein Duality
J Thickstun
University of Washington, Technical Report, 2020
62020
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Cikkek 1–20