activity
20042022
most citedAsymptotically Optimal Quantum Circuits for d-level Systems

148 citations · 399 across the 15 of their papers we have counts for

collaborators

15 papers

cs.GL2022★ 1 cited

Mary Kenneth Keller: First US PhD in Computer Science

Jennifer Head, Dianne P. O'Leary

In June 1965, Sister Mary Kenneth Keller, BVM, received the first US PhD in Computer Science, and this paper outlines her life and accomplishments. As a scholar, she has the distin…

cs.LG2020★ 3 cited

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

Roozbeh Yousefzadeh, Dianne P. O'Leary

Deep learning models have been criticized for their lack of easy interpretation, which undermines confidence in their use for important applications. Nevertheless, they are consist…

math.OC2019★ 2 cited

A Probabilistic Framework and a Homotopy Method for Real-time Hierarchical Freight Dispatch Decisions

Roozbeh Yousefzadeh, Dianne P. O'Leary

We propose a real-time decision framework for multimodal freight dispatch through a system of hierarchical hubs, using a probabilistic model for transit times. Instead of assigning…

cs.LG2019★ 7 cited

Investigating Decision Boundaries of Trained Neural Networks

Roozbeh Yousefzadeh, Dianne P O'Leary

Deep learning models have been the subject of study from various perspectives, for example, their training process, interpretation, generalization error, robustness to adversarial…

cs.LG2019★ 3 cited

Refining the Structure of Neural Networks Using Matrix Conditioning

Roozbeh Yousefzadeh, Dianne P O'Leary

Deep learning models have proven to be exceptionally useful in performing many machine learning tasks. However, for each new dataset, choosing an effective size and structure of th…

cs.LG2019★ 6 cited

Interpreting Neural Networks Using Flip Points

Roozbeh Yousefzadeh, Dianne P. O'Leary

Neural networks have been criticized for their lack of easy interpretation, which undermines confidence in their use for important applications. Here, we introduce a novel techniqu…