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Uploaded in 2020
This paper introduces an iterative method to approximate the solution of the heat equation using ideas from calculus of variations.
Recommended citation: Campbell, Ryan. Finlay, Chris. Oberman, Adam. (2020). "Deterministic Gaussian Averaged Neural Networks." Preprint. https://arxiv.org/pdf/2006.06061.pdf
Uploaded in 2020
This paper continues the work of the previous paper, modifying our method to obtain good results on larger datasets.
Recommended citation: Campbell, Ryan. Finlay, Chris. Oberman, Adam. (2020). "Adversarial Boot Camp: label free certified robustness in one epoch." Preprint. https://arxiv.org/pdf/2010.02508.pdf
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
Teaching Assistant, Undergraduate course, McGill University, Department of Mathematics and Statistics, 2019
I wrote and presented lectures twice a week on various topics in the theory of linear algebra. Furthermore, I held office hours and was reponsible for grading midterms and final exams.
Teaching Assistant, Graduate course, McGill University, Department of Mathematics and Statistics, 2019
I wrote and presented lectures on the topics of convex analysis, convex optimization, and Lagrangian duality. Furthermore, I was repsonible for grading homework assignments.
Teaching Assistant, Undergraduate course, McGill University, Department of Mathematics and Statistics, 2020
This is a new course offered by McGill that introduces undergraduate students to statistical computing methods in R. I wrote and presented weekly tutorials delivered remotely. Furthermore, I graded midterm exams and held twice-weekly office hours.