Bryon Aragam

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 9 papers. Top paper: “NOTMAD: Estimating Bayesian Networks with Sample-Specific Structures and Parameters”.

NOTMAD: Estimating Bayesian Networks with Sample-Specific Structures and Parameters

arXiv (Cornell University)(2021)10.48550/arxiv.2111.01104

N/A

0.104DataRank · unranked

1 citations

Caleb N. Ellington, Bryon Aragam, Eric P. Xing, Sharon L. R. Kardia, Benjamin J. Lengerich

Identifiability of nonparametric mixture models and Bayes optimal clustering

The Annals of Statistics(2020)10.1214/19-aos1887

N/A

0DataRank · unranked

6 citations

Dan Chen, Eric P. Xing, Pradeep Ravikumar, Bryon Aragam

Learning general conditional independence structures via the neighbourhood lattice

arXiv (Cornell University)(2022)10.48550/arxiv.2206.05829

N/A

0DataRank · unranked

0 citations

Bryon Aragam, Qing Zhou, Arash Amini

Uniform consistency in nonparametric mixture models

The Annals of Statistics(2023)10.1214/22-aos2255

N/A

0DataRank · unranked

5 citations

Ruiyi Yang, Bryon Aragam

Optimizing NOTEARS Objectives via Topological Swaps

arXiv (Cornell University)(2023)10.48550/arxiv.2305.17277

N/A

0DataRank · unranked

1 citations

Kevin Bello, Bryon Aragam, Pradeep Ravikumar, Chang Deng

iSCAN: Identifying Causal Mechanism Shifts among Nonlinear Additive Noise Models

arXiv (Cornell University)(2023)10.48550/arxiv.2306.17361

N/A

0DataRank · unranked

0 citations

Kevin Bello, Bryon Aragam, Pradeep Ravikumar, Tianyu Chen

Uncovering Meanings of Embeddings via Partial Orthogonality

arXiv (Cornell University)(2023)10.48550/arxiv.2310.17611

N/A

0DataRank · unranked

0 citations

Bryon Aragam, Victor Veitch, Yibo Jiang

Learning Interpretable Concepts: Unifying Causal Representation Learning and Foundation Models

arXiv (Cornell University)(2024)10.48550/arxiv.2402.09236

N/A

0DataRank · unranked

2 citations

Simon Buchholz, Bryon Aragam, Bernhard Schölkopf, Pradeep Ravikumar, Goutham Rajendran

On the Origins of Linear Representations in Large Language Models

arXiv (Cornell University)(2024)10.48550/arxiv.2403.03867

N/A

0DataRank · unranked

2 citations

Goutham Rajendran, Pradeep Ravikumar, Bryon Aragam, Victor Veitch, Yibo Jiang