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Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series


Jul 23, 2021
Satya Narayan Shukla, Benjamin M. Marlin


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Post-hoc loss-calibration for Bayesian neural networks


Jun 13, 2021
Meet P. Vadera, Soumya Ghosh, Kenney Ng, Benjamin M. Marlin

* Accepted to Conference on Uncertainty in AI (UAI) '21 

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Multi-Time Attention Networks for Irregularly Sampled Time Series


Jan 25, 2021
Satya Narayan Shukla, Benjamin M. Marlin

* Accepted at International Conference on Learning Representations (ICLR) 2021 

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A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series


Jan 05, 2021
Satya Narayan Shukla, Benjamin M. Marlin

* Presented at NeurIPS 2020 Workshop: ML Retrospectives, Surveys & Meta-Analyses (ML-RSA) 

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A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series: From Discretization to Attention and Invariance


Nov 30, 2020
Satya Narayan Shukla, Benjamin M. Marlin


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Learning from Irregularly-Sampled Time Series: A Missing Data Perspective


Aug 17, 2020
Steven Cheng-Xian Li, Benjamin M. Marlin


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URSABench: Comprehensive Benchmarking of Approximate Bayesian Inference Methods for Deep Neural Networks


Jul 08, 2020
Meet P. Vadera, Adam D. Cobb, Brian Jalaian, Benjamin M. Marlin

* Presented at the ICML 2020 Workshop on Uncertainty and Robustness in Deep Learning 

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Generalized Bayesian Posterior Expectation Distillation for Deep Neural Networks


May 16, 2020
Meet P. Vadera, Brian Jalaian, Benjamin M. Marlin

* Accepted at UAI '20 

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Integrating Physiological Time Series and Clinical Notes with Deep Learning for Improved ICU Mortality Prediction


Mar 24, 2020
Satya Narayan Shukla, Benjamin M. Marlin

* Accepted at ACM Conference on Health, Inference and Learning, 2020 

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Assessing the Adversarial Robustness of Monte Carlo and Distillation Methods for Deep Bayesian Neural Network Classification


Feb 07, 2020
Meet P. Vadera, Satya Narayan Shukla, Brian Jalaian, Benjamin M. Marlin

* Presented at SafeAI Workshop, AAAI 2020 

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Interpolation-Prediction Networks for Irregularly Sampled Time Series


Sep 13, 2019
Satya Narayan Shukla, Benjamin M. Marlin

* International Conference on Learning Representations. arXiv admin note: substantial text overlap with arXiv:1812.00531 

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Assessing the Robustness of Bayesian Dark Knowledge to Posterior Uncertainty


Jun 10, 2019
Meet P. Vadera, Benjamin M. Marlin


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Integrating Propositional and Relational Label Side Information for Hierarchical Zero-Shot Image Classification


Feb 14, 2019
Colin Samplawski, Heesung Kwon, Erik Learned-Miller, Benjamin M. Marlin


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Modeling Irregularly Sampled Clinical Time Series


Dec 03, 2018
Satya Narayan Shukla, Benjamin M. Marlin

* Machine Learning for Health (ML4H) Workshop at NeurIPS 2018 arXiv:cs/0101200 

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Learning Tree-Structured Detection Cascades for Heterogeneous Networks of Embedded Devices


Jun 24, 2017
Hamid Dadkhahi, Benjamin M. Marlin

* arXiv admin note: substantial text overlap with arXiv:1607.03730 

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Learning Time Series Detection Models from Temporally Imprecise Labels


Apr 13, 2017
Roy J. Adams, Benjamin M. Marlin


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