Niklas Smedemark-Margulies

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 15

Top Topics

Logical Inference

Gesture Recognition

Compressed Sensing

Discriminative Models

Top Venues

Trans. Mach. Learn. Res.

IEEE Signal Process. Lett.

Pattern Recognit.

Publications

Niklas Smedemark-Margulies, Yunus Bicer, Elifnur Sunger, Tales Imbiriba, Eugene Tunik, Deniz Erdogmus, Mathew Yarossi, Robin Walters
Fast and Expressive Gesture Recognition using a Combination-Homomorphic Electromyogram Encoder. Trans. Mach. Learn. Res. 2024 (2024)
Xi Yu, Niklas Smedemark-Margulies, Shuchin Aeron, Toshiaki Koike-Akino, Pierre Moulin, Matthew Brand, Kieran Parsons, Ye Wang
Improving adversarial robustness by learning shared information. Pattern Recognit. 134 (2023)
Konstantina Bairaktari, Paul Langton, Huy L. Nguyen, Niklas Smedemark-Margulies, Jonathan R. Ullman
Fair and Useful Cohort Selection. Trans. Mach. Learn. Res. 2023 (2023)
Yunus Bicer, Niklas Smedemark-Margulies, Basak Celik, Elifnur Sunger, Ryan Orendorff, Stephanie Naufel, Tales Imbiriba, Deniz Erdogmus, Eugene Tunik, Mathew Yarossi
User Training with Error Augmentation for Electromyogram-based Gesture Classification. CoRR (2023)
Niklas Smedemark-Margulies, Basak Celik, Tales Imbiriba, Aziz Kocanaogullari, Deniz Erdogmus
Recursive Estimation of User Intent From Noninvasive Electroencephalography Using Discriminative Models. ICASSP (2023)
Niklas Smedemark-Margulies, Yunus Bicer, Elifnur Sunger, Tales Imbiriba, Eugene Tunik, Deniz Erdogmus, Mathew Yarossi, Robin Walters
Fast and Expressive Gesture Recognition using a Combination-Homomorphic Electromyogram Encoder. CoRR (2023)
Niklas Smedemark-Margulies, Ye Wang, Toshiaki Koike-Akino, Jing Liu, Kieran Parsons, Yunus Bicer, Deniz Erdogmus
Stabilizing Subject Transfer in EEG Classification with Divergence Estimation. CoRR (2023)
Niklas Smedemark-Margulies, Yunus Bicer, Elifnur Sunger, Stephanie Naufel, Tales Imbiriba, Eugene Tunik, Deniz Erdogmus, Mathew Yarossi
A Multi-label Classification Approach to Increase Expressivity of EMG-based Gesture Recognition. CoRR (2023)
Niklas Smedemark-Margulies, Robin Walters, Heiko Zimmermann, Lucas Laird, Christian van der Loo, Neela Kaushik, Rajmonda Caceres, Jan-Willem van de Meent
Probabilistic program inference in network-based epidemiological simulations. PLoS Comput. Biol. 18 (11) (2022)
Niklas Smedemark-Margulies, Basak Celik, Tales Imbiriba, Aziz Kocanaogullari, Deniz Erdogmus
Recursive Estimation of User Intent from Noninvasive Electroencephalography using Discriminative Models. CoRR (2022)
Niklas Smedemark-Margulies, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus
AutoTransfer: Subject Transfer Learning with Censored Representations on Biosignals Data. EMBC (2022)
Aziz Koçanaogullari, Niklas Smedemark-Margulies, Murat Akçakaya, Deniz Erdogmus
Geometric Analysis of Uncertainty Sampling for Dense Neural Network Layer. IEEE Signal Process. Lett. 28 (2021)
Niklas Smedemark-Margulies, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus
AutoTransfer: Subject Transfer Learning with Censored Representations on Biosignals Data. CoRR (2021)
Niklas Smedemark-Margulies, Jung Yeon Park, Max Daniels, Rose Yu, Jan-Willem van de Meent, Paul Hand
Generator Surgery for Compressed Sensing. CoRR (2021)
Niklas Smedemark-Margulies, Paul Langton, Huy L. Nguyen
Fair and Useful Cohort Selection. CoRR (2020)