Search Results for author: Quaid Morris

Found 8 papers, 4 papers with code

Learning Optimal Predictive Checklists

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.


Segmenting Hybrid Trajectories using Latent ODEs

1 code implementation9 May 2021 Ruian Shi, Quaid Morris

Smooth dynamics interrupted by discontinuities are known as hybrid systems and arise commonly in nature.

Time Series Analysis

An Empirical Framework for Domain Generalization in Clinical Settings

1 code implementation20 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.

Domain Generalization Time Series Analysis

Memory-Based Graph Networks

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.

Graph Classification regression

Reinterpreting Importance-Weighted Autoencoders

no code implementations10 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.

Comparing Nonparametric Bayesian Tree Priors for Clonal Reconstruction of Tumors

no code implementations11 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.

Inferring clonal evolution of tumors from single nucleotide somatic mutations

no code implementations11 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.

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