Justin Lovelace

According to our database, Justin Lovelace authored at least 14 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Music Transcription with (Almost) No Supervision.

Saebyeol Shin, Chao Wan, Zhenzhen Liu, Justin Lovelace, Daniel C. Lin, Kilian Q. Weinberger, John Thickstun

CoRR, May, 2026

Prescriptive Scaling Laws for Data Constrained Training.

Justin Lovelace, Christian K. Belardi, Srivatsa Kundurthy, Shriya Sudhakar, Kilian Q. Weinberger

CoRR, May, 2026

Adaptive Moments are Surprisingly Effective for Plug-and-Play Diffusion Sampling.

Christian K. Belardi, Justin Lovelace, Kilian Q. Weinberger, Carla P. Gomes

CoRR, March, 2026

Stop-Think-AutoRegress: Language Modeling with Latent Diffusion Planning.

Justin Lovelace, Christian K. Belardi, Sofian Zalouk, Adhitya Polavaram, Srivatsa Kundurthy, Kilian Q. Weinberger

CoRR, February, 2026

2025

SpeechOp: Inference-Time Task Composition for Generative Speech Processing.

Justin Lovelace, Rithesh Kumar, Jiaqi Su, Ke Chen, Kilian Q. Weinberger, Zeyu Jin

CoRR, September, 2025

Pre-training Large Memory Language Models with Internal and External Knowledge.

Linxi Zhao, Sofian Zalouk, Christian K. Belardi, Justin Lovelace, Jin Peng Zhou, Kilian Q. Weinberger, Yoav Artzi, Jennifer J. Sun

CoRR, May, 2025

Improving Multislice Electron Ptychography with a Generative Prior.

Christian K. Belardi, Chia-Hao Lee, Yingheng Wang, Justin Lovelace, Kilian Q. Weinberger, David A. Muller, Carla P. Gomes

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

2024

Sample-Efficient Diffusion for Text-To-Speech Synthesis.

Justin Lovelace, Soham Ray, Kwangyoun Kim, Kilian Q. Weinberger, Felix Wu

Proceedings of the 25th Annual Conference of the International Speech Communication Association, 2024

Diffusion Guided Language Modeling.

Justin Lovelace, Varsha Kishore, Yiwei Chen, Kilian Q. Weinberger

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Latent Diffusion for Language Generation.

Justin Lovelace, Varsha Kishore, Chao Wan, Eliot Shekhtman, Kilian Q. Weinberger

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

IncDSI: Incrementally Updatable Document Retrieval.

Varsha Kishore, Chao Wan, Justin Lovelace, Yoav Artzi, Kilian Q. Weinberger

Proceedings of the International Conference on Machine Learning, 2023

2022

A Framework for Adapting Pre-Trained Language Models to Knowledge Graph Completion.

Justin Lovelace, Carolyn P. Rosé

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Robust Knowledge Graph Completion with Stacked Convolutions and a Student Re-Ranking Network.

Justin Lovelace, Denis Newman-Griffis, Shikhar Vashishth, Jill Fain Lehman, Carolyn P. Rosé

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Team JARS: DialDoc Subtask 1 - Improved Knowledge Identification with Supervised Out-of-Domain Pretraining.

Sopan Khosla, Justin Lovelace, Ritam Dutt, Adithya Pratapa

Proceedings of the 1st Workshop on Document-grounded Dialogue and Conversational Question Answering, 2021