Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox

Picture for Michael C. Hughes

Michael C. Hughes

Dept. of Computer Science, Tufts University

Non-Parametric and Regularized Dynamical Wasserstein Barycenters for Time-Series Analysis


Oct 04, 2022
Kevin C. Cheng, Shuchin Aeron, Michael C. Hughes, Eric L. Miller


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Fix-A-Step: Effective Semi-supervised Learning from Uncurated Unlabeled Sets


Aug 25, 2022
Zhe Huang, Mary-Joy Sidhom, Benjamin S. Wessler, Michael C. Hughes


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

NovelCraft: A Dataset for Novelty Detection and Discovery in Open Worlds


Jun 23, 2022
Patrick Feeney, Sarah Schneider, Panagiotis Lymperopoulos, Liping Liu, Matthias Scheutz, Michael C. Hughes


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Easy Variational Inference for Categorical Models via an Independent Binary Approximation


May 31, 2022
Michael T. Wojnowicz, Shuchin Aeron, Eric L. Miller, Michael C. Hughes

* to appear at ICML 2022 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Dynamical Wasserstein Barycenters for Time-series Modeling


Oct 29, 2021
Kevin C. Cheng, Shuchin Aeron, Michael C. Hughes, Eric L. Miller

* To appear at Neurips 2021 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

A New Semi-supervised Learning Benchmark for Classifying View and Diagnosing Aortic Stenosis from Echocardiograms


Jul 30, 2021
Zhe Huang, Gary Long, Benjamin Wessler, Michael C. Hughes

* To appear in the Proceedings of the Machine Learning for Healthcare (MLHC) conference, 2021. 20 pages (including 7 tables & 3 figures). 13 additional pages of references and supplementary material 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Evaluating the Use of Reconstruction Error for Novelty Localization


Jul 28, 2021
Patrick Feeney, Michael C. Hughes


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Stochastic Iterative Graph Matching


Jun 04, 2021
Linfeng Liu, Michael C. Hughes, Soha Hassoun, Li-Ping Liu

* To appear in ICML 2021 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Approximate Bayesian Computation for an Explicit-Duration Hidden Markov Model of COVID-19 Hospital Trajectories


Apr 28, 2021
Gian Marco Visani, Alexandra Hope Lee, Cuong Nguyen, David M. Kent, John B. Wong, Joshua T. Cohen, Michael C. Hughes

* 20 pages, 8 figures, 17 additional pages of supplementary material 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email
1
2
3
>>