Publications

2021

Adversarial Multi Class Learning under Weak Supervision with Performance Guarantees
Cyrus Cousins*, Alessio Mazzetto*, Dylan Sam, Stephen H Bach, and Eliezer Upfal
Accepted to International Conference in Machine Learning (ICML) 2021
[pdf, code]

Semi-Supervised Aggregation of Dependent Weak Supervision Sources with Performance Guarantees
Alessio Mazzetto, Dylan Sam, Andrew Park, Eliezer Upfal, and Stephen H Bach
Artificial Intelligence and Statistics (AISTATS), 2021
[pdf, code]

Learning from Dependent Weak Supervision Sources
Dylan Sam
Undergraduate Honors Thesis, 2021

Automated Data Accountability for the Mars Science Laboratory
Ryan Alimo, Dylan Sam, Dounia Lakhmiri, Brian Kahovec, and Dariush Divsalar
IEEE Aerospace Conference, 2021
[pdf, code]

2020

Hierarchical Clustering Analysis of Spectral Fingerprints for Cheminformatics
Dylan Sam and Brenda M Rubenstein
NeurIPS Machine Learning for Molecules Workshop, 2020
[pdf]

Preprints

Fingerprinting Spectral Space
Dylan Sam, Xinhao Li, Phyo Phyo Zin, Kevin Guo, Denis Fourches, and Brenda M. Rubenstein
In Preparation