Maja Rudolph

Edward: A library for probabilistic modeling, inference, and criticism

Dustin Tran, Alp Kucukelbir, Adji Bousso Dieng et al. · arXiv (Cornell University) · 2016 · 221 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +15

Dynamic Embeddings for Language Evolution

Maja Rudolph, David M. Blei · 2018 · 132 citations · Full text

Natural Language Processing, Engineering, Language Adaptation +11

Placing language in an integrated understanding system: Next steps toward human-level performance in neural language models

James L. McClelland, Felix Hill, Maja Rudolph et al. · Proceedings of the National Academy of Sciences · 2020 · 93 citations · Full text

Artificial Intelligence, Engineering, Neurolinguistics +20

Exponential Family Embeddings

Maja Rudolph, Francisco J. R. Ruiz, Stephan Mandt et al. · arXiv (Cornell University) · 2016 · 74 citations · Full text

Engineering, Machine Learning, Exponential Family +16

Extending Machine Language Models toward Human-Level Language Understanding

James L. McClelland, Felix Hill, Maja Rudolph et al. · Open access LMU (Ludwid Maxmilian's Universitat Munchen) · 2019 · 65 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +20