Jonas Mueller
Jonas Mueller
Amazon Web Services
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Cited by
Cited by
Siamese recurrent architectures for learning sentence similarity
J Mueller, A Thyagarajan
Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016
Resnest: Split-attention networks
H Zhang, C Wu, Z Zhang, Y Zhu, H Lin, Z Zhang, Y Sun, T He, J Mueller, ...
arXiv preprint arXiv:2004.08955, 2020
Sequence to Better Sequence: Continuous Revision of Combinatorial Structures
J Mueller, D Gifford, T Jaakkola
International Conference on Machine Learning, 2017
Autogluon-tabular: Robust and accurate automl for structured data
N Erickson, J Mueller, A Shirkov, H Zhang, P Larroy, M Li, A Smola
arXiv preprint arXiv:2003.06505, 2020
Wnt signaling separates the progenitor and endocrine compartments during pancreas development
N Sharon, J Vanderhooft, J Straubhaar, J Mueller, R Chawla, Q Zhou, ...
Cell reports 27 (8), 2281-2291. e5, 2019
A peninsular structure coordinates asynchronous differentiation with morphogenesis to generate pancreatic islets
N Sharon, R Chawla, J Mueller, J Vanderhooft, LJ Whitehorn, ...
Cell 176 (4), 790-804. e13, 2019
What made you do this? Understanding black-box decisions with sufficient input subsets
B Carter, J Mueller, S Jain, D Gifford
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
Antibody Complementarity Determining Region Design Using High-Capacity Machine Learning
G Liu, H Zeng, J Mueller, B Carter, Z Wang, J Schilz, G Horny, ...
Bioinformatics 36 (7), 2126-2133, 2020
IMaT: Unsupervised Text Attribute Transfer via Iterative Matching and Translation
Z Jin, D Jin, J Mueller, N Matthews, E Santus
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
Pervasive label errors in test sets destabilize machine learning benchmarks
CG Northcutt, A Athalye, J Mueller
arXiv preprint arXiv:2103.14749, 2021
General triallelic frequency spectrum under demographic models with variable population size
PA Jenkins, JW Mueller, YS Song
Genetics 196 (1), 295-311, 2014
Principal differences analysis: Interpretable characterization of differences between distributions
J Mueller, T Jaakkola
Advances in Neural Information Processing Systems, 2015
Neuron-specific enolase (NSE) improves clinical risk scores for prediction of neurological outcome and death in cardiac arrest patients: Results from a prospective trial
T Luescher, J Mueller, C Isenschmid, J Kalt, R Rasiah, T Tondorf, M Gamp, ...
Resuscitation 142, 50-60, 2019
Educating text autoencoders: Latent representation guidance via denoising
T Shen, J Mueller, R Barzilay, T Jaakkola
International Conference on Machine Learning, 8719-8729, 2020
Maximizing Overall Diversity for Improved Uncertainty Estimates in Deep Ensembles
S Jain, G Liu, J Mueller, D Gifford
AAAI, 4264-4271, 2020
Low-rank bandit methods for high-dimensional dynamic pricing
J Mueller, V Syrgkanis, M Taddy
Advances in Neural Information Processing Systems, 2019
Learning Optimal Interventions
J Mueller, D Reshef, G Du, T Jaakkola
Artificial Intelligence and Statistics 54, 1039-1047, 2017
Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation
R Fakoor, JW Mueller, N Erickson, P Chaudhari, AJ Smola
Advances in Neural Information Processing Systems 33, 2020
TraDE: Transformers for density estimation
R Fakoor, P Chaudhari, J Mueller, AJ Smola
arXiv preprint arXiv:2004.02441, 2020
Modeling Persistent Trends in Distributions
J Mueller, T Jaakkola, D Gifford
Journal of the American Statistical Association 113 (523), 1296-1310, 2018
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Articles 1–20