Daniel S. Brown

Computer ScienceEngineering

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 4 papers. Top paper: “Can Differentiable Decision Trees Enable Interpretable Reward Learning from Human Feedback?”.

Can Differentiable Decision Trees Enable Interpretable Reward Learning from Human Feedback?

arXiv (Cornell University)(2023)10.48550/arxiv.2306.13004

N/A

0DataRank · unranked

0 citations

Daniel S. Brown, Akansha Kalra

Toward Zero-Shot User Intent Recognition in Shared Autonomy

arXiv (Cornell University)(2025)10.48550/arxiv.2501.08389

N/A

0DataRank · unranked

0 citations

Zohre Karimi, Connor Mattson, Daniel S. Brown, Atharv Belsare

Toward robust, interactive, and human‐aligned AI systems

AI Magazine(2025)10.1002/aaai.70024

N/A

0DataRank · unranked

0 citations

Daniel S. Brown

R2BC: Multi-Agent Imitation Learning from Single-Agent Demonstrations

arXiv (Cornell University)(2025)10.48550/arxiv.2510.18085

N/A

0DataRank · unranked

0 citations

V.V.S. Raveendra, Ellen Novoseller, Nicholas R. Waytowich, Vernon J. Lawhern, Daniel S. Brown +1 more