Aaron J. Masino

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All published works

Action	Title	Year	Authors
+ PDF Chat	Revisiting the fragility of influence functions	2023	Jacob R. Epifano Ravi P. Ramachandran Aaron J. Masino Ghulam Rasool
+	Revisiting the Fragility of Influence Functions	2023	Jacob R. Epifano Ravi P. Ramachandran Aaron J. Masino Ghulam Rasool
+	Deployment of a Robust and Explainable Mortality Prediction Model: The COVID-19 Pandemic and Beyond	2023	Jacob R. Epifano Stephen M. Glass Ravi P. Ramachandran Sharad Patel Aaron J. Masino Ghulam Rasool
+	Opening Access to Visual Exploration of Audiovisual Digital Biomarkers: an OpenDBM Analytics Tool	2022	Carla Floricel Jacob R. Epifano Stephanie Caamano Sarah M. Kark Rich Christie Aaron J. Masino Andre Paredes
+	Unsupervised learning with GLRM feature selection reveals novel traumatic brain injury phenotypes.	2018	Aaron J. Masino Kaitlin A. Folweiler
+	Unsupervised learning with GLRM feature selection reveals novel traumatic brain injury phenotypes	2018	Aaron J. Masino Kaitlin A. Folweiler

Common Coauthors

Coauthor	Papers Together
Jacob R. Epifano	4
Ravi P. Ramachandran	3
Ghulam Rasool	3
Kaitlin A. Folweiler	2
Rich Christie	1
Stephanie Caamano	1
Sharad Patel	1
Sarah M. Kark	1
Andre Paredes	1
Carla Floricel	1
Stephen M. Glass	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Regression Diagnostics -- Identifying Influential Data and Sources of Collinearity	1981	Chris Beaumont D. A. Belsley E. Kuh R. E. Welsch	1
+ PDF Chat	Generalized Low Rank Models	2016	Madeleine Udell Corinne Horn Reza Bosagh Zadeh Stephen Boyd	1
+	Empirical Analysis of the Hessian of Over-Parametrized Neural Networks	2017	Levent Sagun Utku Evci V. Uğur Güney Yann Dauphin Léon Bottou	1
+	Eigenvalues of the Hessian in Deep Learning: Singularity and Beyond	2016	Levent Sagun Léon Bottou Yann LeCun	1
+ PDF Chat	Residuals and Influence in Regression.	1983	Anthony C. Atkinson R. Dennis Cook Sanford Weisberg	1
+	Negative eigenvalues of the Hessian in deep neural networks	2019	Guillaume Alain Nicolas Le Roux Pierre-Antoine Manzagol	1
+	On the Accuracy of Influence Functions for Measuring Group Effects	2019	Pang Wei Koh Kai-Siang Ang Hubert H. K. Teo Percy Liang	1
+ PDF Chat	Interpretation of Neural Networks Is Fragile	2019	Amirata Ghorbani Abubakar Abid James Zou	1
+	Three Mechanisms of Weight Decay Regularization	2018	Guodong Zhang Chaoqi Wang Bowen Xu Roger Grosse	1
+	On Model Stability as a Function of Random Seed	2019	Pranava Madhyastha Rishabh Jain	1
+ PDF Chat	Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions	2020	Xiaochuang Han Byron Wallace Yulia Tsvetkov	1
+ PDF Chat	Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors	2020	Guy Cohen Guillermo Sapiro Raja Giryes	1
+ PDF Chat	FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging	2021	Han Guo Nazneen Fatema Rajani Peter Hase Mohit Bansal Caiming Xiong	1
+	SmoothGrad: removing noise by adding noise	2017	Daniel Smilkov Nikhil Thorat Been Kim Fernanda Viégas Martin Wattenberg	1
+	Second-Order Stochastic Optimization for Machine Learning in Linear Time	2016	Naman Agarwal Brian Bullins Elad Hazan	1
+	Regression Diagnostics: Identifying Influential Data and Sources of Collinearity.	1981	H. D. Patterson D. A. Belsley E. Kuh R. E. Welsch	1