Jonas Mueller
Jonas Mueller
Amazon Web Services
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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
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
Sequence to Better Sequence: Continuous Revision of Combinatorial Structures
J Mueller, D Gifford, T Jaakkola
International Conference on Machine Learning, 2017
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
Pervasive label errors in test sets destabilize machine learning benchmarks
CG Northcutt, A Athalye, J Mueller
arXiv preprint arXiv:2103.14749, 2021
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
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
Educating text autoencoders: Latent representation guidance via denoising
T Shen, J Mueller, R Barzilay, T Jaakkola
International Conference on Machine Learning, 8719-8729, 2020
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
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
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
Learning Optimal Interventions
J Mueller, D Reshef, G Du, T Jaakkola
Artificial Intelligence and Statistics 54, 1039-1047, 2017
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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