Roozbeh Yousefzadeh

According to our database, Roozbeh Yousefzadeh authored at least 23 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Extrapolation and AI transparency: Why machine learning models should reveal when they make decisions beyond their training.

Xuenan Cao, Roozbeh Yousefzadeh

Big Data Soc., January, 2023

An Ambiguity Measure for Recognizing the Unknowns in Deep Learning.

Roozbeh Yousefzadeh

CoRR, 2023

Large Language Models' Understanding of Math: Source Criticism and Extrapolation.

Roozbeh Yousefzadeh, Xuenan Cao

CoRR, 2023

2022

Should Machine Learning Models Report to Us When They Are Clueless?

Roozbeh Yousefzadeh, Xuenan Cao

CoRR, 2022

Over-parameterization: A Necessary Condition for Models that Extrapolate.

Roozbeh Yousefzadeh

CoRR, 2022

Deep Learning Generalization, Extrapolation, and Over-parameterization.

Roozbeh Yousefzadeh

CoRR, 2022

Decision boundaries and convex hulls in the feature space that deep learning functions learn from images.

Roozbeh Yousefzadeh

CoRR, 2022

To what extent should we trust AI models when they extrapolate?

Roozbeh Yousefzadeh, Xuenan Cao

CoRR, 2022

2021

Community Detection in Medical Image Datasets: Using Wavelets and Spectral Methods.

Roozbeh Yousefzadeh

CoRR, 2021

A Homotopy Algorithm for Optimal Transport.

Roozbeh Yousefzadeh

CoRR, 2021

Extrapolation Frameworks in Cognitive Psychology Suitable for Study of Image Classification Models.

Roozbeh Yousefzadeh, Jessica A. Mollick

CoRR, 2021

Federated Learning without Revealing the Decision Boundaries.

Roozbeh Yousefzadeh

CoRR, 2021

A Sketching Method for Finding the Closest Point on a Convex Hull.

Roozbeh Yousefzadeh

CoRR, 2021

Deep Learning Generalization and the Convex Hull of Training Sets.

Roozbeh Yousefzadeh

CoRR, 2021

2020

Using Wavelets and Spectral Methods to Study Patterns in Image-Classification Datasets.

Roozbeh Yousefzadeh, Furong Huang

CoRR, 2020

Using wavelets to analyze similarities in image datasets.

Roozbeh Yousefzadeh

CoRR, 2020

Auditing and Debugging Deep Learning Models via Decision Boundaries: Individual-level and Group-level Analysis.

Roozbeh Yousefzadeh, Dianne P. O'Leary

CoRR, 2020

Deep learning interpretation: Flip points and homotopy methods.

Roozbeh Yousefzadeh, Dianne P. O'Leary

Proceedings of Mathematical and Scientific Machine Learning, 2020

2019

Interpreting Machine Learning Models and Application of Homotopy Methods.

Roozbeh Yousefzadeh

PhD thesis, 2019

Investigating Decision Boundaries of Trained Neural Networks.

Roozbeh Yousefzadeh, Dianne P. O'Leary

CoRR, 2019

Refining the Structure of Neural Networks Using Matrix Conditioning.

Roozbeh Yousefzadeh, Dianne P. O'Leary

CoRR, 2019

Interpreting Neural Networks Using Flip Points.

Roozbeh Yousefzadeh, Dianne P. O'Leary

CoRR, 2019

Learning Diverse Gaussian Graphical Models and Interpreting Edges.

Roozbeh Yousefzadeh, Diane Oyen, Nina Lanza

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019