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researcher

J. Kang

7 papers hereh-index 447 citations11 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author5

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.LG6
  • cs.AI1
same name
  • J. Kang — 191 papers, h 94
  • J. Kang — 147 papers, h 30
  • J. Kang — 84 papers, h 42
  • J. Kang — 49 papers, h 20
  • J. Kang — 41 papers, h 34
  • J. Kang — 35 papers, h 17

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedSHAP zero Explains Biological Sequence Models with Near-zero Marginal Cost for Future Queries

1 citations · 1 across the 7 of their papers we have counts for

collaborators
Showing 2026Show all

3 papers · 1 filter

cs.LG2026

Adaptive Sparse Möbius Transforms for Learning Polynomials

Yigit Efe Erginbas, Justin Singh Kang, Elizabeth Polito +1

We consider the problem of exactly learning an s-sparse real-valued Boolean polynomial of degree d of the form f:{0,1}n→R. This problem corresponds t…

cs.AI2026

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

Harry Mayne, Justin Singh Kang, Dewi Gould +3

LLM self-explanations are often presented as a promising tool for AI oversight, yet their faithfulness to the model's true reasoning process is poorly understood. Existing faithful…

cs.LG2026

An Odd Estimator for Shapley Values

Fabian Fumagalli, Landon Butler, Justin Singh Kang +2

The Shapley value is a ubiquitous framework for attribution in machine learning, encompassing feature importance, data valuation, and causal inference. However, its exact computati…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.