Iroko: A Framework to Prototype Reinforcement Learning for Data Center Traffic Control. - Fabian Ruffy; Michael Przystupa; Ivan Beschastnikh (CoRR, 2018)

Neural Machine Translation of Low-Resource and Similar Languages with Backtranslation. - Michael Przystupa; Muhammad Abdul-Mageed (WMT (3), 2019)

Sentence-Level BERT and Multi-Task Learning of Age and Gender in Social Media. - Muhammad Abdul-Mageed; Chiyu Zhang; Arun Rajendran; AbdelRahim A. Elmadany; Michael Przystupa; Lyle H. Ungar (CoRR, 2019)

Analyzing Neural Jacobian Methods in Applications of Visual Servoing and Kinematic Control. - Michael Przystupa; Masood Dehghan; Martin Jägersand; A. Rupam Mahmood (ICRA, 2021)

Learning State Conditioned Linear Mappings for Low-Dimensional Control of Robotic Manipulators. - Michael Przystupa; Kerrick Johnstonbaugh; Zichen Zhang 001; Laura Petrich; Masood Dehghan; Faezeh Haghverd; Martin Jägersand (ICRA, 2023)

Deep Probabilistic Movement Primitives with a Bayesian Aggregator. - Michael Przystupa; Faezeh Haghverd; Martin Jägersand; Samuele Tosatto (IROS, 2023)

Local Linearity is All You Need (in Data-Driven Teleoperation). - Michael Przystupa; Gauthier Gidel; Matthew E. Taylor; Martin Jägersand; Justus H. Piater; Samuele Tosatto (IROS, 2024)

Investigating the Benefits of Nonlinear Action Maps in Data-Driven Teleoperation. - Michael Przystupa; Gauthier Gidel; Matthew E. Taylor; Martin Jägersand; Justus H. Piater; Samuele Tosatto (CoRR, 2024)

Efficient Morphology-Aware Policy Transfer to New Embodiments. - Michael Przystupa; Hongyao Tang; Martin Jägersand; Santiago Miret; Mariano Phielipp; Matthew E. Taylor; Glen Berseth (CoRR, 2025)