Fair and Useful Cohort Selection. - Niklas Smedemark-Margulies; Paul Langton; Huy L. Nguyen (CoRR, 2020)

Generator Surgery for Compressed Sensing. - Niklas Smedemark-Margulies; Jung Yeon Park; Max Daniels; Rose Yu; Jan-Willem van de Meent; Paul Hand (CoRR, 2021)

Geometric Analysis of Uncertainty Sampling for Dense Neural Network Layer. - Aziz Koçanaogullari; Niklas Smedemark-Margulies; Murat Akçakaya; Deniz Erdogmus (IEEE Signal Process. Lett., 2021)

AutoTransfer: Subject Transfer Learning with Censored Representations on Biosignals Data. - Niklas Smedemark-Margulies; Ye Wang 001; Toshiaki Koike-Akino; Deniz Erdogmus (EMBC, 2022)

Probabilistic program inference in network-based epidemiological simulations. - Niklas Smedemark-Margulies; Robin Walters 001; Heiko Zimmermann; Lucas Laird; Christian van der Loo; Neela Kaushik; Rajmonda Caceres; Jan-Willem van de Meent (PLoS Comput. Biol., 2022)

Recursive Estimation of User Intent From Noninvasive Electroencephalography Using Discriminative Models. - Niklas Smedemark-Margulies; Basak Celik; Tales Imbiriba; Aziz Kocanaogullari; Deniz Erdogmus (ICASSP, 2023)

User Training with Error Augmentation for Electromyogram-based Gesture Classification. - Yunus Bicer; Niklas Smedemark-Margulies; Basak Celik; Elifnur Sunger; Ryan Orendorff; Stephanie Naufel; Tales Imbiriba; Deniz Erdogmus; Eugene Tunik; Mathew Yarossi (CoRR, 2023)

A Multi-label Classification Approach to Increase Expressivity of EMG-based Gesture Recognition. - Niklas Smedemark-Margulies; Yunus Bicer; Elifnur Sunger; Stephanie Naufel; Tales Imbiriba; Eugene Tunik; Deniz Erdogmus; Mathew Yarossi (CoRR, 2023)

Stabilizing Subject Transfer in EEG Classification with Divergence Estimation. - Niklas Smedemark-Margulies; Ye Wang 001; Toshiaki Koike-Akino; Jing Liu 009; Kieran Parsons; Yunus Bicer; Deniz Erdogmus (CoRR, 2023)

Improving adversarial robustness by learning shared information. - Xi Yu; Niklas Smedemark-Margulies; Shuchin Aeron; Toshiaki Koike-Akino; Pierre Moulin; Matthew Brand; Kieran Parsons; Ye Wang 001 (Pattern Recognit., 2023)

Fair and Useful Cohort Selection. - Konstantina Bairaktari; Paul Langton; Huy L. Nguyen; Niklas Smedemark-Margulies; Jonathan R. Ullman (Trans. Mach. Learn. Res., 2023)

Fast and Expressive Gesture Recognition using a Combination-Homomorphic Electromyogram Encoder. - Niklas Smedemark-Margulies; Yunus Bicer; Elifnur Sunger; Tales Imbiriba; Eugene Tunik; Deniz Erdogmus; Mathew Yarossi; Robin Walters 001 (Trans. Mach. Learn. Res., 2024)