Justin Lovelace

18 papers A* 3A 1Journal 10Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Adaptive Moments are Surprisingly Effective for Plug-and-Play Diffusion Sampling.
CoRR
Christian K. Belardi, Justin Lovelace, Kilian Q. Weinberger, Carla P. Gomes
2026 J jnl
Stop-Think-AutoRegress: Language Modeling with Latent Diffusion Planning.
CoRR
Justin Lovelace, Christian K. Belardi, Sofian Zalouk, Adhitya Polavaram, Srivatsa Kundurthy, Kilian Q. Weinberger
2025 — conf
Improving Multislice Electron Ptychography with a Generative Prior.
ICCVW
Christian K. Belardi, Chia-Hao Lee, Yingheng Wang, Justin Lovelace, Kilian Q. Weinberger, David A. Muller, Carla P. Gomes
2025 J jnl
Improving Multislice Electron Ptychography with a Generative Prior.
CoRR
Christian K. Belardi, Chia-Hao Lee, Yingheng Wang, Justin Lovelace, Kilian Q. Weinberger, David A. Muller, Carla P. Gomes
2025 J jnl
Pre-training Large Memory Language Models with Internal and External Knowledge.
CoRR
Linxi Zhao, Sofian Zalouk, Christian K. Belardi, Justin Lovelace, Jin Peng Zhou, Kilian Q. Weinberger, Yoav Artzi, Jennifer J. Sun
2025 J jnl
SpeechOp: Inference-Time Task Composition for Generative Speech Processing.
CoRR
Justin Lovelace, Rithesh Kumar, Jiaqi Su, Ke Chen, Kilian Q. Weinberger, Zeyu Jin
2024 — conf
Diffusion Guided Language Modeling.
ACL (Findings)
Justin Lovelace, Varsha Kishore, Yiwei Chen, Kilian Q. Weinberger
2024 J jnl
Diffusion Guided Language Modeling.
CoRR
Justin Lovelace, Varsha Kishore, Yiwei Chen, Kilian Q. Weinberger
2024 A conf
Sample-Efficient Diffusion for Text-To-Speech Synthesis.
INTERSPEECH
Justin Lovelace, Soham Ray, Kwangyoun Kim, Kilian Q. Weinberger, Felix Wu
2024 J jnl
Sample-Efficient Diffusion for Text-To-Speech Synthesis.
CoRR
Justin Lovelace, Soham Ray, Kwangyoun Kim, Kilian Q. Weinberger, Felix Wu
2023 A* conf
IncDSI: Incrementally Updatable Document Retrieval.
ICML
Varsha Kishore, Chao Wan, Justin Lovelace, Yoav Artzi, Kilian Q. Weinberger
2023 J jnl
IncDSI: Incrementally Updatable Document Retrieval.
CoRR
Varsha Kishore, Chao Wan, Justin Lovelace, Yoav Artzi, Kilian Q. Weinberger
2023 A* conf
Latent Diffusion for Language Generation.
NeurIPS
Justin Lovelace, Varsha Kishore, Chao Wan, Eliot Shekhtman, Kilian Q. Weinberger
2022 A* conf
A Framework for Adapting Pre-Trained Language Models to Knowledge Graph Completion.
EMNLP
Justin Lovelace, Carolyn P. Rosé
2022 J jnl
Latent Diffusion for Language Generation.
CoRR
Justin Lovelace, Varsha Kishore, Chao Wan, Eliot Shekhtman, Kilian Q. Weinberger
2021 — conf
Robust Knowledge Graph Completion with Stacked Convolutions and a Student Re-Ranking Network.
ACL/IJCNLP (1)
Justin Lovelace, Denis Newman-Griffis, Shikhar Vashishth, Jill Fain Lehman, Carolyn P. Rosé
2021 J jnl
Robust Knowledge Graph Completion with Stacked Convolutions and a Student Re-Ranking Network.
CoRR
Justin Lovelace, Denis Newman-Griffis, Shikhar Vashishth, Jill Fain Lehman, Carolyn Penstein Rosé
2021 — conf
Team JARS: DialDoc Subtask 1 - Improved Knowledge Identification with Supervised Out-of-Domain Pretraining.
DialDoc@ACL-IJCNLP
Sopan Khosla, Justin Lovelace, Ritam Dutt, Adithya Pratapa