Justin Singh Kang

According to our database, Justin Singh Kang authored at least 13 papers between 2020 and 2026.

Collaborative distances:

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

2026

Adaptive Sparse Möbius Transforms for Learning Polynomials.

Yigit Efe Erginbas, Justin Singh Kang, Elizabeth Polito, Kannan Ramchandran

CoRR, February, 2026

A Positive Case for Faithfulness: LLM Self-Explanations Help Predict Model Behavior.

Harry Mayne, Justin Singh Kang, Dewi Gould, Kannan Ramchandran, Adam Mahdi, Noah Y. Siegel

CoRR, February, 2026

An Odd Estimator for Shapley Values.

Fabian Fumagalli, Landon Butler, Justin Singh Kang, Kannan Ramchandran, R. Teal Witter

CoRR, February, 2026

2025

ProxySPEX: Inference-Efficient Interpretability via Sparse Feature Interactions in LLMs.

Landon Butler, Abhineet Agarwal, Justin Singh Kang, Yigit Efe Erginbas, Bin Yu, Kannan Ramchandran

CoRR, May, 2025

SHAP zero Explains Biological Sequence Models with Near-zero Marginal Cost for Future Queries.

Darin Tsui, Aryan Musharaf, Yigit Efe Erginbas, Justin Singh Kang, Amirali Aghazadeh

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

SPEX: Scaling Feature Interaction Explanations for LLMs.

Justin Singh Kang, Landon Butler, Abhineet Agarwal, Yigit Efe Erginbas, Ramtin Pedarsani, Bin Yu, Kannan Ramchandran

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

The Fair Value of Data Under Heterogeneous Privacy Constraints in Federated Learning.

Justin Singh Kang, Ramtin Pedarsani, Kannan Ramchandran

Trans. Mach. Learn. Res., 2024

Learning to Understand: Identifying Interactions via the Möbius Transform.

Justin Singh Kang, Yigit Efe Erginbas, Landon Butler, Ramtin Pedarsani, Kannan Ramchandran

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

2023

The Fair Value of Data Under Heterogeneous Privacy Constraints.

Justin Singh Kang, Ramtin Pedarsani, Kannan Ramchandran

CoRR, 2023

Learning a 1-layer conditional generative model in total variation.

Ajil Jalal, Justin Singh Kang, Ananya Uppal, Kannan Ramchandran, Eric Price

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

Efficiently Computing Sparse Fourier Transforms of q-ary Functions.

Yigit Efe Erginbas, Justin Singh Kang, Amirali Aghazadeh, Kannan Ramchandran

Proceedings of the IEEE International Symposium on Information Theory, 2023

2020

Minimum Feedback for Collision-Free Scheduling in Massive Random Access.

Justin Singh Kang, Wei Yu

CoRR, 2020

Minimum Feedback for Collision-Free Scheduling in Massive Random Access.

Justin Singh Kang, Wei Yu

Proceedings of the IEEE International Symposium on Information Theory, 2020