See papers on Google Scholar, or

	Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy Cameron Allen*, Aaron Kirtland*, Ruo Yu Tao*, Sam Lobel, Daniel Scott, Nicholas Petrocelli, Omer Gottesman, Ronald Parr, Michael L. Littman, George Konidaris NeurIPS, RLC Finding the Frame workshop, and ICML FoRLaC workshop, 2024 / Source
	An Unstructured Mesh Approach to Nonlinear Noise Reduction for Coupled Systems Aaron Kirtland, Jonah Botvinick-Greenhouse, Marianne DeBrito, Megan Osborne, Casey Johnson, Robert S. Martin, Samuel J. Araki, Daniel Q. Eckhardt SIAM Journal on Applied Dynamical Systems, 2023 / Source
	The polynomial learning with errors problem and the smearing condition Liljana Babinkostova*, Ariana Chin*, Aaron Kirtland*, Vladyslav Nazarchuk*, Esther Plotnick* Journal of Mathematical Cryptology, 2022 / Source
	The Ring Learning with Errors Problem: Spectral Distortion Liljana Babinkostova*, Ariana Chin*, Aaron Kirtland*, Vladyslav Nazarchuk*, Esther Plotnick* Involve, A Journal of Mathematics, 2022 / Source
	Preparing cuprous oxide nanomaterials by electrochemical method for non-enzymatic glucose biosensor Thu-Thuy Nguyen, Bui The Huy, Seo-Young Hwang, Nguyen Minh Vuong, Quoc-Thai Pham, Nguyen Ngoc Nghia, Aaron Kirtland, and Yong-Ill Lee Nanotechnology, 2018