Niklas Smedemark-Margulies

According to our database, Niklas Smedemark-Margulies authored at least 11 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Pattern Recognit., 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

CoRR, 2023

Stabilizing Subject Transfer in EEG Classification with Divergence Estimation.

Niklas Smedemark-Margulies, Ye Wang, Toshiaki Koike-Akino, Jing Liu, Kieran Parsons, Yunus Bicer, Deniz Erdogmus

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

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

Recursive Estimation of User Intent From Noninvasive Electroencephalography Using Discriminative Models.

Niklas Smedemark-Margulies, Basak Celik, Tales Imbiriba, Aziz Kocanaogullari, Deniz Erdogmus

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Probabilistic program inference in network-based epidemiological simulations.

Niklas Smedemark-Margulies, Robin Walters, Heiko Zimmermann, Lucas Laird, Christian van der Loo, Neela Kaushik, Rajmonda Caceres, Jan-Willem van de Meent

PLoS Comput. Biol., November, 2022

AutoTransfer: Subject Transfer Learning with Censored Representations on Biosignals Data.

Niklas Smedemark-Margulies, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

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

Generator Surgery for Compressed Sensing.

Niklas Smedemark-Margulies, Jung Yeon Park, Max Daniels, Rose Yu, Jan-Willem van de Meent, Paul Hand

CoRR, 2021

2020

Fair and Useful Cohort Selection.

Niklas Smedemark-Margulies, Paul Langton, Huy L. Nguyen

CoRR, 2020