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Myrl G. Marmarelis
Myrl G. Marmarelis
USC Information Sciences Institute
Verified email at usc.edu - Homepage
Title
Cited by
Cited by
Year
Data-driven stochastic optimization on manifolds for additive manufacturing
MG Marmarelis, RG Ghanem
Computational Materials Science 181, 109750, 2020
152020
Partial identification of dose responses with hidden confounders
MG Marmarelis, E Haddad, A Jesson, N Jahanshad, A Galstyan, ...
Uncertainty in Artificial Intelligence, 1368-1379, 2023
72023
Capturing Perspectives of Crowdsourced Annotators in Subjective Learning Tasks
N Mokhberian, MG Marmarelis, FR Hopp, V Basile, F Morstatter, ...
arXiv preprint arXiv:2311.09743, 2023
22023
Bounding the effects of continuous treatments for hidden confounders
MG Marmarelis, G Ver Steeg, N Jahanshad, A Galstyan
NeurIPS 2022 Workshop on Causality for Real-world Impact, 2022
22022
Robust defense against Lp-norm-based attacks by learning robust representations
I Fostiropoulos, B Shbita, M Marmarelis
2
Ensembled Prediction Intervals for Causal Outcomes Under Hidden Confounding
MG Marmarelis, G Ver Steeg, A Galstyan, F Morstatter
Causal Learning and Reasoning, 18-40, 2024
12024
A Metric Space for Point Process Excitations
MG Marmarelis, G Ver Steeg, A Galstyan
Journal of Artificial Intelligence Research 73, 1323–1353, 2022
12022
Efficient and robust polylinear analysis of noisy time series
MG Marmarelis
arXiv preprint arXiv:1704.02577, 2017
12017
Policy Learning for Localized Interventions from Observational Data
MG Marmarelis, F Morstatter, A Galstyan, G Ver Steeg
International Conference on Artificial Intelligence and Statistics, 4456-4464, 2024
2024
q-Diffusion leverages the full dimensionality of gene coexpression in single-cell transcriptomics
MG Marmarelis, R Littman, F Battaglin, D Niedzwiecki, A Venook, ...
Communications Biology 7 (1), 400, 2024
2024
Causal Sensitivity Analysis for Hidden Confounding: Modeling the Sex-Specific Role of Diet on the Aging Brain
E Haddad, MG Marmarelis, TM Nir, A Galstyan, G Ver Steeg, ...
International Workshop on Machine Learning in Clinical Neuroimaging, 91-101, 2023
2023
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