Seungwook Han

According to our database, Seungwook Han authored at least 15 papers between 2012 and 2024.

Collaborative distances:

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

2024

Value Augmented Sampling for Language Model Alignment and Personalization.

Seungwook Han, Idan Shenfeld, Akash Srivastava, Yoon Kim, Pulkit Agrawal

CoRR, 2024

2023

Estimating the Density Ratio between Distributions with High Discrepancy using Multinomial Logistic Regression.

Akash Srivastava, Seungwook Han, Kai Xu, Benjamin Rhodes, Michael U. Gutmann

Trans. Mach. Learn. Res., 2023

Mitigating Confirmation Bias in Semi-supervised Learning via Efficient Bayesian Model Averaging.

Charlotte Loh, Rumen Dangovski, Shivchander Sudalairaj, Seungwook Han, Ligong Han, Leonid Karlinsky, Marin Soljacic, Akash Srivastava

Trans. Mach. Learn. Res., 2023

Constructive Assimilation: Boosting Contrastive Learning Performance through View Generation Strategies.

Ligong Han, Seungwook Han, Shivchander Sudalairaj, Charlotte Loh, Rumen Dangovski, Fei Deng, Pulkit Agrawal, Dimitris N. Metaxas, Leonid Karlinsky, Tsui-Wei Weng, Akash Srivastava

CoRR, 2023

Compositional Foundation Models for Hierarchical Planning.

Anurag Ajay, Seungwook Han, Yilun Du, Shuang Li, Abhi Gupta, Tommi S. Jaakkola, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Akash Srivastava, Pulkit Agrawal

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

Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries.

Charlotte Loh, Seungwook Han, Shivchander Sudalairaj, Rumen Dangovski, Kai Xu, Florian Wenzel, Marin Soljacic, Akash Srivastava

Proceedings of the International Conference on Machine Learning, 2023

2022

On the Importance of Calibration in Semi-supervised Learning.

Charlotte Loh, Rumen Dangovski, Shivchander Sudalairaj, Seungwook Han, Ligong Han, Leonid Karlinsky, Marin Soljacic, Akash Srivastava

CoRR, 2022

Equivariant Self-Supervised Learning: Encouraging Equivariance in Representations.

Rumen Dangovski, Li Jing, Charlotte Loh, Seungwook Han, Akash Srivastava, Brian Cheung, Pulkit Agrawal, Marin Soljacic

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Gage MPC: Bypassing Residual Function Leakage for Non-Interactive MPC.

Ghada Almashaqbeh, Fabrice Benhamouda, Seungwook Han, Daniel Jaroslawicz, Tal Malkin, Alex Nicita, Tal Rabin, Abhishek Shah, Eran Tromer

Proc. Priv. Enhancing Technol., 2021

Equivariant Contrastive Learning.

Rumen Dangovski, Li Jing, Charlotte Loh, Seungwook Han, Akash Srivastava, Brian Cheung, Pulkit Agrawal, Marin Soljacic

CoRR, 2021

2020

not-so-BigGAN: Generating High-Fidelity Images on a Small Compute Budget.

Seungwook Han, Akash Srivastava, Cole L. Hurwitz, Prasanna Sattigeri, David D. Cox

CoRR, 2020

3D distributed deep learning framework for prediction of human intelligence from brain MRI.

Seungwook Han, Yan Zhang, Yihui Ren, Jonathan Posner, Shinjae Yoo, Jiook Cha

Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020

2018

SyncGC: A Synchronized Garbage Collection Technique for Reducing Tail Latency in Cassandra.

Seungwook Han, Sungjin Lee, Sangwook Shane Hahn, Jihong Kim

Proceedings of the 9th Asia-Pacific Workshop on Systems, 2018

2013

A Place-Aware Stereotypical Trust Supporting Scheme.

Gonzalo Huerta Cánepa, Seungwook Han, Dongman Lee, Byoungoh Kim

Proceedings of the 12th IEEE International Conference on Trust, 2013

2012

Contextual Information Provision on Augmented Reality with IoT-Based Semantic Communication.

Heesuk Son, Seungwook Han, Dongman Lee

Proceedings of the 2012 International Symposium on Ubiquitous Virtual Reality, 2012