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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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Anderson Acceleration and Descattering
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Descattering with a Gaussian Kernel
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Iterative Methods for Descattering
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Nearest-Neighbor Sampling Densities and Descattering Performance
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Neural Style Transfer and Video Games
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Simulating NFL Coaching Decisions Using Machine Learning
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An Empirical Study of Least Squares Ratings for USA Ultimate Frisbee - Alexander N. Sietsema
Submitted to The American Statistician, 2021
We introduce an unstudied setting for sports rankings with unique properties, and compare a current rating method with the familiar least squares rating method.
View the paper here
Comparing One-step and Two-step Scatter Correction and Density Reconstruction in X-ray CT- Alexander N. Sietsema, Michael T. McCann, Marc L. Klasky, Saiprasad Ravishankar
Submitted to IEEE ICASSP, 2021
We compare one-step and two-step approaches for X-ray computed tomography scatter correction and density reconstruction.
View the paper here
Kaczmarz Methods and Best Linear Unbiased Estimators
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One-Step and Two-Step Descattering
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Alexander Sietsema
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Future Blog Post
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This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.
Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
publications
Cyclic Pattern Containment and Avoidance- Rachel Domagalski, Sergi Elizalde, Jinting Liang, Quinn Minnich, Bruce E. Sagan, Jamie Schmidt, Alexander Sietsema
Published in Advances in Applied Mathematics (vol. 135), 2021
We study a variant of pattern avoidance for cyclic permutations. We prove results including a cyclic variant of the Erdos-Szekeres theorem and results about avoidance of multiple patterns of length 4.
View the paper here
Cyclic Shuffle Compatibility - Rachel Domagalski, Jinting Liang, Quinn Minnich, Bruce E. Sagan, Jamie Schmidt, Alexander Sietsema
Published in S´eminaire Lotharingien de Combinatoire (vol. 85), 2021
We define and study cyclic shuffle compatibility and show methods by which to lift results for linear permutations to cyclic ones.
View the paper here
Pinnacle Set Properties - Rachel Domagalski, Jinting Liang, Quinn Minnich, Bruce E. Sagan, Jamie Schmidt, Alexander Sietsema
Published in Discrete Mathematics (vol. 345, iss. 7), 2021
We prove new results about pinnacle sets of permutations, including a simpler bijection which counts the number of admissible pinnacle sets.
View the paper here
Comparing One-step and Two-step Scatter Correction And Density Reconstruction In X-Ray CT - Alexander N. Sietsema, Michael T. McCann, Marc L. Klasky, Saiprasad Ravishankar
Published in conference proceedings of the 7th International on Image Formation in X-Ray Computed Tomography (CT Meeting), 2022
We use synthetic data to compare the performance separate scatter correction and density reconstruction steps with solving a one-step optimization problem.
View the paper here
Stochastic Iterative Methods for Online Rank Aggregation from Pairwise Comparisons - Benjamin Jarman, Lara Kassab, Deanna Needell, Alexander Sietsema
In revision, BIT Numerical Mathematics, 2024
We develop a variant of the Kaczmarz method for inequalities designed for pairwise comparison ranking problems.
Stratified Non-Negative Tensor Factorization - Alexander Sietsema, Zerrin Vural, James Chapman, Yotam Yaniv, Deanna Needell
Submitted, Asilomar Conference on Signals, Systems, and Computers, 2024
We develop a stratified non-negative tensor factorization method to learn rank-one differences in data sources.
talks
An Algorithm For Counting Admissible Pinnacle Orderings
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Comparing One-Step and Two-Step Descattering and Reconstruction
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Pattern Avoidance in Cyclic Permutations
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Pattern Avoidance in Cyclic Permutations
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Semi-Supervised Learning
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A Stochastic Subtraction Game (and how to win some money at the bar)
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Comparing One-step and Two-step Scatter Correction and Density Reconstruction in X-ray CT
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Stochastic Iterative Methods for Online Rank Aggregation from Pairwise Comparisons.
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teaching
Calculus II Undergraduate Learning Assistant
ULA, Michigan State University, Department of Mathematics, 2019
Supervised two sections, led recitation sessions, led special review sessions, graded labs, quizzes, and exams.
Calculus I Course Assistant
CA, Michigan State University, Department of Mathematics, 2020
Answered questions on Piazza, led biweekly help sessions for students, graded exams.
Honors Linear Algebra Undergraduate Learning Assistant
ULA, Michigan State University, Department of Mathematics, 2021
Led recitation sessions, graded homeworks, tests, and exams, led study sessions, held LaTeX learning sessions.
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