Publications
2024
Sample-Efficient Diffusion for Text-To-Speech Synthesis
Justin Lovelace, Soham Ray, Kwangyoun Kim, Kilian Q Weinberger, Felix Wu
Interspeech, 2024.
Diffusion Guided Language Modeling
Justin Lovelace, Varsha Kishore, Yiwei Chen, Kilian Q Weinberger
Findings of the Annual Meeting of the Association for Computational Linguistics (Findings of ACL), 2024.
2023
Latent Diffusion for Language Generation
Justin Lovelace, Varsha Kishore, Chao Wan, Eliot Shekhtman, Kilian Q Weinberger
Conference on Neural Information Processing Systems (NeurIPS), 2023.
IncDSI: Incrementally Updatable Document Retrieval
Varsha Kishore, Chao Wan, Justin Lovelace, Yoav Artzi, Kilian Q Weinberger
International Conference on Machine Learning (ICML), 2023.
2022
A Framework For Adapting Pre-Trained Language Models to Knowledge Graph Completion
Justin Lovelace and Carolyn Rose
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022.
2021
Team JARS: DialDoc Subtask 1 - Improved Knowledge Identification with Supervised Out-of-Domain Pretraining
Sopan Khosla, Justin Lovelace, Ritam Dutt, Adithya Pratapa
ACL-IJCNLP Workshop on Document-grounded Dialogue and Conversational QA (ACL-IJCNLP DialDoc), 2021.
Robust Knowledge Graph Completion with Stacked Convolutions and a Student Re-Ranking Network
Justin Lovelace, Denis Newman-Griffis, Shikhar Vashishth, Jill Fain Lehman, and Carolyn Rose
Annual Meeting of the Association for Computational Linguistics and the International Joint Conference on Natural Language Processing (ACL-IJCNLP), 2021.
2020
Learning to Generate Clinically Coherent Chest X-Ray Reports
Justin Lovelace, Bobak Mortazavi
Findings of the Conference on Empirical Methods in Natural Language Processing (Findings of EMNLP), 2020.
Dynamically Extracting Outcome-Specific Problem Lists from Clinical Notes with Guided Multi-Headed Attention
Justin Lovelace, Nathan Hurley, Adrian Haimovich, Bobak Mortazavi
Machine Learning for Healthcare Conference (MLHC), 2020.
2019
Explainable Prediction of Adverse Outcomes Using Clinical Notes
Justin Lovelace, Nathan Hurley, Adrian Haimovich, Bobak Mortazavi
NeurIPS Machine Learning for Health Workshop (NeurIPS ML4H), 2019.
Undergraduate Honors Thesis
Predicting ICU Readmission with Clinical Notes (Outstanding Undergraduate Honors Thesis Award)