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ORCIDRoozbeh Yousefzadeh
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2020 – today
- 2023
[j1]Xuenan Cao
, Roozbeh Yousefzadeh:
Extrapolation and AI transparency: Why machine learning models should reveal when they make decisions beyond their training. Big Data Soc. 10(1): 205395172311697 (2023)- [i19]Roozbeh Yousefzadeh, Xuenan Cao:
Large Language Models' Understanding of Math: Source Criticism and Extrapolation. CoRR abs/2311.07618 (2023) - [i18]Roozbeh Yousefzadeh:
An Ambiguity Measure for Recognizing the Unknowns in Deep Learning. CoRR abs/2312.06077 (2023) - 2022
- [i17]Roozbeh Yousefzadeh, Xuenan Cao:
To what extent should we trust AI models when they extrapolate? CoRR abs/2201.11260 (2022) - [i16]Roozbeh Yousefzadeh:
Decision boundaries and convex hulls in the feature space that deep learning functions learn from images. CoRR abs/2202.04052 (2022) - [i15]Roozbeh Yousefzadeh:
Deep Learning Generalization, Extrapolation, and Over-parameterization. CoRR abs/2203.10366 (2022) - [i14]Roozbeh Yousefzadeh:
Over-parameterization: A Necessary Condition for Models that Extrapolate. CoRR abs/2203.10447 (2022) - [i13]Roozbeh Yousefzadeh, Xuenan Cao:
Should Machine Learning Models Report to Us When They Are Clueless? CoRR abs/2203.12131 (2022) - 2021
- [i12]Roozbeh Yousefzadeh:
Deep Learning Generalization and the Convex Hull of Training Sets. CoRR abs/2101.09849 (2021) - [i11]Roozbeh Yousefzadeh:
A Sketching Method for Finding the Closest Point on a Convex Hull. CoRR abs/2102.10502 (2021) - [i10]Roozbeh Yousefzadeh:
Federated Learning without Revealing the Decision Boundaries. CoRR abs/2103.00695 (2021) - [i9]Roozbeh Yousefzadeh, Jessica A. Mollick:
Extrapolation Frameworks in Cognitive Psychology Suitable for Study of Image Classification Models. CoRR abs/2112.03411 (2021) - [i8]Roozbeh Yousefzadeh:
A Homotopy Algorithm for Optimal Transport. CoRR abs/2112.06763 (2021) - [i7]Roozbeh Yousefzadeh:
Community Detection in Medical Image Datasets: Using Wavelets and Spectral Methods. CoRR abs/2112.12021 (2021) - 2020
- [c2]Roozbeh Yousefzadeh, Dianne P. O'Leary:
Deep learning interpretation: Flip points and homotopy methods. MSML 2020: 1-26 - [i6]Roozbeh Yousefzadeh, Dianne P. O'Leary:
Auditing and Debugging Deep Learning Models via Decision Boundaries: Individual-level and Group-level Analysis. CoRR abs/2001.00682 (2020) - [i5]Roozbeh Yousefzadeh:
Using wavelets to analyze similarities in image datasets. CoRR abs/2002.10257 (2020) - [i4]Roozbeh Yousefzadeh, Furong Huang:
Using Wavelets and Spectral Methods to Study Patterns in Image-Classification Datasets. CoRR abs/2006.09879 (2020)
2010 – 2019
- 2019
- [b1]Roozbeh Yousefzadeh:
Interpreting Machine Learning Models and Application of Homotopy Methods. University of Maryland, College Park, MD, USA, 2019 - [c1]Roozbeh Yousefzadeh, Diane Oyen, Nina Lanza:
Learning Diverse Gaussian Graphical Models and Interpreting Edges. SDM 2019: 405-413 - [i3]Roozbeh Yousefzadeh, Dianne P. O'Leary:
Interpreting Neural Networks Using Flip Points. CoRR abs/1903.08789 (2019) - [i2]Roozbeh Yousefzadeh, Dianne P. O'Leary:
Refining the Structure of Neural Networks Using Matrix Conditioning. CoRR abs/1908.02400 (2019) - [i1]Roozbeh Yousefzadeh, Dianne P. O'Leary:
Investigating Decision Boundaries of Trained Neural Networks. CoRR abs/1908.02802 (2019)
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