Soo Min Kwon

According to our database, Soo Min Kwon authored at least 13 papers between 2019 and 2026.

Collaborative distances:

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

2026

An Overview of Low-Rank Structures in the Training and Adaptation of Large Models: From Implicit Low-Dimensionality to Efficient Training and Fine-Tuning [Special Issue on the Mathematics of Deep Learning].

Laura Balzano, Tianjiao Ding, Benjamin D. Haeffele, Soo Min Kwon, Qing Qu, Peng Wang, Zhangyang Wang, Can Yaras

IEEE Signal Process. Mag., May, 2026

CoDistill-GRPO: A Co-Distillation Recipe for Efficient Group Relative Policy Optimization.

Soo Min Kwon, Ziteng Sun, Ananda Theertha Suresh, Himanshu Jain, Sanjiv Kumar

CoRR, May, 2026

2025

Out-of-Distribution Generalization of In-Context Learning: A Low-Dimensional Subspace Perspective.

Soo Min Kwon, Alec S. Xu, Can Yaras, Laura Balzano, Qing Qu

CoRR, May, 2025

An Overview of Low-Rank Structures in the Training and Adaptation of Large Models.

Laura Balzano, Tianjiao Ding, Benjamin D. Haeffele, Soo Min Kwon, Qing Qu, Peng Wang, Zhangyang Wang, Can Yaras

CoRR, March, 2025

Learning Dynamics of Deep Linear Networks Beyond the Edge of Stability.

Avrajit Ghosh, Soo Min Kwon, Rongrong Wang, Saiprasad Ravishankar, Qing Qu

CoRR, February, 2025

Learning Dynamics of Deep Matrix Factorization Beyond the Edge of Stability.

Avrajit Ghosh, Soo Min Kwon, Rongrong Wang, Saiprasad Ravishankar, Qing Qu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Decoupled Data Consistency with Diffusion Purification for Image Restoration.

Xiang Li, Soo Min Kwon, Ismail R. Alkhouri, Saiprasad Ravishankar, Qing Qu

CoRR, 2024

BLAST: Block-Level Adaptive Structured Matrices for Efficient Deep Neural Network Inference.

Changwoo Lee, Soo Min Kwon, Qing Qu, Hun-Seok Kim

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency.

Bowen Song, Soo Min Kwon, Zecheng Zhang, Xinyu Hu, Qing Qu, Liyue Shen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Efficient Low-Dimensional Compression of Overparameterized Models.

Soo Min Kwon, Zekai Zhang, Dogyoon Song, Laura Balzano, Qing Qu

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Efficient Compression of Overparameterized Deep Models through Low-Dimensional Learning Dynamics.

Soo Min Kwon, Zekai Zhang, Dogyoon Song, Laura Balzano, Qing Qu

CoRR, 2023

2022

Low-Rank Phase Retrieval with Structured Tensor Models.

Soo Min Kwon, Xin Li, Anand D. Sarwate

Proceedings of the IEEE International Conference on Acoustics, 2022

2019

Demo: Hands-Free Human Activity Recognition Using Millimeter-Wave Sensors.

Soo Min Kwon, Song Yang, Jian Liu, Xin Yang, Wesam Saleh, Shreya Patel, Christine Mathews, Yingying Chen

Proceedings of the 2019 IEEE International Symposium on Dynamic Spectrum Access Networks, 2019