Niklas Smedemark-Margulies

15 papers Misc 1Journal 13Unranked 1
YearRankTypeTitle / Venue / Authors
2024 J jnl
Fast and Expressive Gesture Recognition using a Combination-Homomorphic Electromyogram Encoder.
Trans. Mach. Learn. Res.
Niklas Smedemark-Margulies, Yunus Bicer, Elifnur Sunger, Tales Imbiriba, Eugene Tunik, Deniz Erdogmus, Mathew Yarossi, Robin Walters
2023 J jnl
A Multi-label Classification Approach to Increase Expressivity of EMG-based Gesture Recognition.
CoRR
Niklas Smedemark-Margulies, Yunus Bicer, Elifnur Sunger, Stephanie Naufel, Tales Imbiriba, Eugene Tunik, Deniz Erdogmus, Mathew Yarossi
2023 J jnl
Fair and Useful Cohort Selection.
Trans. Mach. Learn. Res.
Konstantina Bairaktari, Paul Langton, Huy L. Nguyen, Niklas Smedemark-Margulies, Jonathan R. Ullman
2023 J jnl
Fast and Expressive Gesture Recognition using a Combination-Homomorphic Electromyogram Encoder.
CoRR
Niklas Smedemark-Margulies, Yunus Bicer, Elifnur Sunger, Tales Imbiriba, Eugene Tunik, Deniz Erdogmus, Mathew Yarossi, Robin Walters
2023 J jnl
Improving adversarial robustness by learning shared information.
Pattern Recognit.
Xi Yu, Niklas Smedemark-Margulies, Shuchin Aeron, Toshiaki Koike-Akino, Pierre Moulin, Matthew Brand, Kieran Parsons, Ye Wang
2023 Misc conf
Recursive Estimation of User Intent From Noninvasive Electroencephalography Using Discriminative Models.
ICASSP
Niklas Smedemark-Margulies, Basak Celik, Tales Imbiriba, Aziz Kocanaogullari, Deniz Erdogmus
2023 J jnl
Stabilizing Subject Transfer in EEG Classification with Divergence Estimation.
CoRR
Niklas Smedemark-Margulies, Ye Wang, Toshiaki Koike-Akino, Jing Liu, Kieran Parsons, Yunus Bicer, Deniz Erdogmus
2023 J jnl
User Training with Error Augmentation for Electromyogram-based Gesture Classification.
CoRR
Yunus Bicer, Niklas Smedemark-Margulies, Basak Celik, Elifnur Sunger, Ryan Orendorff, Stephanie Naufel, Tales Imbiriba, Deniz Erdogmus, Eugene Tunik, Mathew Yarossi
2022 — conf
AutoTransfer: Subject Transfer Learning with Censored Representations on Biosignals Data.
EMBC
Niklas Smedemark-Margulies, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus
2022 J jnl
Probabilistic program inference in network-based epidemiological simulations.
PLoS Comput. Biol.
Niklas Smedemark-Margulies, Robin Walters, Heiko Zimmermann, Lucas Laird, Christian van der Loo, Neela Kaushik, Rajmonda Caceres, Jan-Willem van de Meent
2022 J jnl
Recursive Estimation of User Intent from Noninvasive Electroencephalography using Discriminative Models.
CoRR
Niklas Smedemark-Margulies, Basak Celik, Tales Imbiriba, Aziz Kocanaogullari, Deniz Erdogmus
2021 J jnl
AutoTransfer: Subject Transfer Learning with Censored Representations on Biosignals Data.
CoRR
Niklas Smedemark-Margulies, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus
2021 J jnl
Generator Surgery for Compressed Sensing.
CoRR
Niklas Smedemark-Margulies, Jung Yeon Park, Max Daniels, Rose Yu, Jan-Willem van de Meent, Paul Hand
2021 J jnl
Geometric Analysis of Uncertainty Sampling for Dense Neural Network Layer.
IEEE Signal Process. Lett.
Aziz Koçanaogullari, Niklas Smedemark-Margulies, Murat Akçakaya, Deniz Erdogmus
2020 J jnl
Fair and Useful Cohort Selection.
CoRR
Niklas Smedemark-Margulies, Paul Langton, Huy L. Nguyen