Justin Singh Kang

15 papers A* 3B 2Journal 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Positive Case for Faithfulness: LLM Self-Explanations Help Predict Model Behavior.
CoRR
Harry Mayne, Justin Singh Kang, Dewi Gould, Kannan Ramchandran, Adam Mahdi, Noah Y. Siegel
2026 J jnl
Adaptive Sparse Möbius Transforms for Learning Polynomials.
CoRR
Yigit Efe Erginbas, Justin Singh Kang, Elizabeth Polito, Kannan Ramchandran
2026 J jnl
An Odd Estimator for Shapley Values.
CoRR
Fabian Fumagalli, Landon Butler, Justin Singh Kang, Kannan Ramchandran, R. Teal Witter
2025 J jnl
ProxySPEX: Inference-Efficient Interpretability via Sparse Feature Interactions in LLMs.
CoRR
Landon Butler, Abhineet Agarwal, Justin Singh Kang, Yigit Efe Erginbas, Bin Yu, Kannan Ramchandran
2025 A* conf
SPEX: Scaling Feature Interaction Explanations for LLMs.
ICML
Justin Singh Kang, Landon Butler, Abhineet Agarwal, Yigit Efe Erginbas, Ramtin Pedarsani, Bin Yu, Kannan Ramchandran
2025 J jnl
SPEX: Scaling Feature Interaction Explanations for LLMs.
CoRR
Justin Singh Kang, Landon Butler, Abhineet Agarwal, Yigit Efe Erginbas, Ramtin Pedarsani, Kannan Ramchandran, Bin Yu
2024 J jnl
Learning to Understand: Identifying Interactions via the Mobius Transform.
CoRR
Justin Singh Kang, Yigit Efe Erginbas, Landon Butler, Ramtin Pedarsani, Kannan Ramchandran
2024 A* conf
Learning to Understand: Identifying Interactions via the Möbius Transform.
NeurIPS
Justin Singh Kang, Yigit Efe Erginbas, Landon Butler, Ramtin Pedarsani, Kannan Ramchandran
2024 J jnl
The Fair Value of Data Under Heterogeneous Privacy Constraints in Federated Learning.
Trans. Mach. Learn. Res.
Justin Singh Kang, Ramtin Pedarsani, Kannan Ramchandran
2023 B conf
Efficiently Computing Sparse Fourier Transforms of q-ary Functions.
ISIT
Yigit Efe Erginbas, Justin Singh Kang, Amirali Aghazadeh, Kannan Ramchandran
2023 J jnl
Efficiently Computing Sparse Fourier Transforms of q-ary Functions.
CoRR
Yigit Efe Erginbas, Justin Singh Kang, Amirali Aghazadeh, Kannan Ramchandran
2023 A* conf
Learning a 1-layer conditional generative model in total variation.
NeurIPS
Ajil Jalal, Justin Singh Kang, Ananya Uppal, Kannan Ramchandran, Eric Price
2023 J jnl
The Fair Value of Data Under Heterogeneous Privacy Constraints.
CoRR
Justin Singh Kang, Ramtin Pedarsani, Kannan Ramchandran
2020 B conf
Minimum Feedback for Collision-Free Scheduling in Massive Random Access.
ISIT
Justin Singh Kang, Wei Yu
2020 J jnl
Minimum Feedback for Collision-Free Scheduling in Massive Random Access.
CoRR
Justin Singh Kang, Wei Yu