1 code implementation • NeurIPS 2021 • Haoran Zhang, Quaid Morris, Berk Ustun, Marzyeh Ghassemi
Our results show that our method can fit simple predictive checklists that perform well and that can easily be customized to obey a rich class of custom constraints.
1 code implementation • 9 May 2021 • Ruian Shi, Quaid Morris
Smooth dynamics interrupted by discontinuities are known as hybrid systems and arise commonly in nature.
1 code implementation • 20 Mar 2021 • Haoran Zhang, Natalie Dullerud, Laleh Seyyed-Kalantari, Quaid Morris, Shalmali Joshi, Marzyeh Ghassemi
In this work, we benchmark the performance of eight domain generalization methods on multi-site clinical time series and medical imaging data.
2 code implementations • ICLR 2020 • Amir Hosein Khasahmadi, Kaveh Hassani, Parsa Moradi, Leo Lee, Quaid Morris
Graph neural networks (GNNs) are a class of deep models that operate on data with arbitrary topology represented as graphs.
no code implementations • 10 Apr 2017 • Chris Cremer, Quaid Morris, David Duvenaud
The standard interpretation of importance-weighted autoencoders is that they maximize a tighter lower bound on the marginal likelihood than the standard evidence lower bound.
no code implementations • 11 Aug 2014 • Amit G. Deshwar, Shankar Vembu, Quaid Morris
Statistical machine learning methods, especially nonparametric Bayesian methods, have become increasingly popular to infer clonal population structure of tumors.
no code implementations • 27 Jun 2014 • Amit G. Deshwar, Shankar Vembu, Christina K. Yung, Gun Ho Jang, Lincoln Stein, Quaid Morris
Tumors often contain multiple subpopulations of cancerous cells defined by distinct somatic mutations.
no code implementations • 11 Oct 2012 • Wei Jiao, Shankar Vembu, Amit G. Deshwar, Lincoln Stein, Quaid Morris
High-throughput sequencing allows the detection and quantification of frequencies of somatic single nucleotide variants (SNV) in heterogeneous tumor cell populations.