Supawit Chockchowwat

According to our database, Supawit Chockchowwat authored at least 16 papers between 2018 and 2025.

Collaborative distances:

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

2025

Demo of Kishu: Time-Traveling for Computational Notebooks.

Zhaoheng Li, Supawit Chockchowwat, Hanxi Fang, Yongjoo Park

Proceedings of the Companion of the 2025 International Conference on Management of Data, 2025

Large-scale Evaluation of Notebook Checkpointing with AI Agents.

Hanxi Fang, Supawit Chockchowwat, Hari Sundaram, Yongjoo Park

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2025

Enhancing Computational Notebooks with Code+Data Space Versioning.

Hanxi Fang, Supawit Chockchowwat, Hari Sundaram, Yongjoo Park

Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 2025

2024

Kishu: Time-Traveling for Computational Notebooks.

Zhaoheng Li, Supawit Chockchowwat, Areet Sheth, Yongjoo Park, Ribhav Sahu

Proc. VLDB Endow., December, 2024

Demonstration of ElasticNotebook: Migrating Live Computational Notebook States.

Zhaoheng Li, Supawit Chockchowwat, Hanxi Fang, Ribhav Sahu, Sumay Thakurdesai, Kantanat Pridaphatrakun, Yongjoo Park

Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024

2023

AirIndex: Versatile Index Tuning Through Data and Storage.

Supawit Chockchowwat, Wenjie Liu, Yongjoo Park

Proc. ACM Manag. Data, September, 2023

A Step Toward Deep Online Aggregation.

Nikhil Sheoran, Supawit Chockchowwat, Arav Chheda, Suwen Wang, Riya Verma, Yongjoo Park

Proc. ACM Manag. Data, 2023

A Step Toward Deep Online Aggregation (Extended Version).

Nikhil Sheoran, Supawit Chockchowwat, Arav Chheda, Suwen Wang, Riya Verma, Yongjoo Park

CoRR, 2023

Transactional Python for Durable Machine Learning: Vision, Challenges, and Feasibility.

Supawit Chockchowwat, Zhaoheng Li, Yongjoo Park

Proceedings of the Seventh Workshop on Data Management for End-to-End Machine Learning, 2023

2022

Automatically Finding Optimal Index Structure.

Supawit Chockchowwat, Wenjie Liu, Yongjoo Park

CoRR, 2022

Probabilistic PolarGMM: Unsupervised Cluster Learning of Very Noisy Projection Images of Unknown Pose.

Supawit Chockchowwat, Chandrajit L. Bajaj

CoRR, 2022

Tuning Hierarchical Learned Indexes on Disk and Beyond.

Supawit Chockchowwat

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Airphant: Cloud-oriented Document Indexing.

Supawit Chockchowwat, Chaitanya Sood, Yongjoo Park

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021

Step Out of Your Comfort Zone: More Inclusive Content Recommendation for Networked Systems.

Jiaxin Wu, Supawit Chockchowwat

CoRR, 2021

2020

Hypothesis-Driven Skill Discovery for Hierarchical Deep Reinforcement Learning.

Caleb Chuck, Supawit Chockchowwat, Scott Niekum

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2018

Functional generative design: an evolutionary approach to 3D-printing.

Cem Celal Tutum, Supawit Chockchowwat, Etienne Vouga, Risto Miikkulainen

Proceedings of the Genetic and Evolutionary Computation Conference, 2018