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ORCIDNiklas Smedemark-Margulies
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2020 – today
- 2024
[j5]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)- 2023
- [j4]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: 109054 (2023) - [j3]Konstantina Bairaktari, Paul Langton, Huy L. Nguyen, Niklas Smedemark-Margulies, Jonathan R. Ullman:
Fair and Useful Cohort Selection. Trans. Mach. Learn. Res. 2023 (2023) - [c2]Niklas Smedemark-Margulies, Basak Celik, Tales Imbiriba, Aziz Kocanaogullari, Deniz Erdogmus:
Recursive Estimation of User Intent From Noninvasive Electroencephalography Using Discriminative Models. ICASSP 2023: 1-5 - [i8]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 abs/2309.07289 (2023) - [i7]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 abs/2309.12217 (2023) - [i6]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 abs/2310.08762 (2023) - [i5]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 abs/2311.14675 (2023) - 2022
- [j2]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): 1010591 (2022) - [c1]Niklas Smedemark-Margulies, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
AutoTransfer: Subject Transfer Learning with Censored Representations on Biosignals Data. EMBC 2022: 3159-3165 - [i4]Niklas Smedemark-Margulies, Basak Celik, Tales Imbiriba, Aziz Kocanaogullari, Deniz Erdogmus:
Recursive Estimation of User Intent from Noninvasive Electroencephalography using Discriminative Models. CoRR abs/2211.02630 (2022) - 2021
- [j1]Aziz Koçanaogullari, Niklas Smedemark-Margulies, Murat Akçakaya, Deniz Erdogmus:
Geometric Analysis of Uncertainty Sampling for Dense Neural Network Layer. IEEE Signal Process. Lett. 28: 867-871 (2021) - [i3]Niklas Smedemark-Margulies, Jung Yeon Park, Max Daniels, Rose Yu, Jan-Willem van de Meent, Paul Hand:
Generator Surgery for Compressed Sensing. CoRR abs/2102.11163 (2021) - [i2]Niklas Smedemark-Margulies, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
AutoTransfer: Subject Transfer Learning with Censored Representations on Biosignals Data. CoRR abs/2112.09796 (2021) - 2020
- [i1]Niklas Smedemark-Margulies, Paul Langton, Huy L. Nguyen:
Fair and Useful Cohort Selection. CoRR abs/2009.02207 (2020)
Coauthor Index
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