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ORCIDTobias Haug
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2020 – today
- 2024
[i10]Nikhil Bansal, Wai-Keong Mok, Kishor Bharti, Dax Enshan Koh, Tobias Haug:
Pseudorandom density matrices. CoRR abs/2407.11607 (2024)- [i9]Oliver Cory, Ozge Mercanoglu Sincan, Matthew Vowels, Alessia Battisti, Franz Holzknecht, Katja Tissi, Sandra Sidler-Miserez, Tobias Haug, Sarah Ebling, Richard Bowden:
Modelling the Distribution of Human Motion for Sign Language Assessment. CoRR abs/2408.10073 (2024) - [i8]Mohammadreza Noormandipour, Tobias Haug:
MaxSAT decoders for arbitrary CSS codes. CoRR abs/2410.01673 (2024) - 2023
- [j5]Tobias Haug
, Chris N. Self, M. S. Kim:
Quantum machine learning of large datasets using randomized measurements. Mach. Learn. Sci. Technol. 4(1): 15005 (2023) - [j4]Tobias Haug, Lorenzo Piroli:
Stabilizer entropies and nonstabilizerness monotones. Quantum 7: 1092 (2023) - [i7]Tobias Haug, M. S. Kim:
Generalization with quantum geometry for learning unitaries. CoRR abs/2303.13462 (2023) - [i6]Tobias Haug, Kishor Bharti, Dax Enshan Koh:
Pseudorandom unitaries are neither real nor sparse nor noise-robust. CoRR abs/2306.11677 (2023) - 2022
- [j3]Tobias Haug, Sarah Ebling, Katja Tissi, Sandra Sidler-Miserez, Penny Boyes Braem:
Development of a Technology-Assisted Assessment for Sign Language Learning. Int. J. Emerg. Technol. Learn. 17(6): 39-56 (2022) - 2021
- [j2]Tobias Haug, Wai-Keong Mok, Jia-Bin You, Wenzu Zhang, Ching Eng Png, Leong-Chuan Kwek:
Classifying global state preparation via deep reinforcement learning. Mach. Learn. Sci. Technol. 2(1): 01 (2021) - [i5]Kishor Bharti, Alba Cervera-Lierta, Thi Ha Kyaw, Tobias Haug, Sumner Alperin-Lea, Abhinav Anand, Matthias Degroote, Hermanni Heimonen, Jakob S. Kottmann, Tim Menke, Wai-Keong Mok, Sukin Sim, Leong-Chuan Kwek, Alán Aspuru-Guzik:
Noisy intermediate-scale quantum (NISQ) algorithms. CoRR abs/2101.08448 (2021) - [i4]Tobias Haug, Kishor Bharti, M. S. Kim:
Capacity and quantum geometry of parametrized quantum circuits. CoRR abs/2102.01659 (2021) - [i3]Tobias Haug, M. S. Kim:
Optimal training of variational quantum algorithms without barren plateaus. CoRR abs/2104.14543 (2021) - [i2]Kishor Bharti, Tobias Haug, Vlatko Vedral, Leong-Chuan Kwek:
NISQ Algorithm for Semidefinite Programming. CoRR abs/2106.03891 (2021) - [i1]Tobias Haug, Chris N. Self, M. S. Kim:
Large-scale quantum machine learning. CoRR abs/2108.01039 (2021)
2010 – 2019
- 2019
- [j1]Tobias Haug, Sarah Ebling:
Using Open-Source Software for Sign Language Learning and Assessment. Int. J. Emerg. Technol. Learn. 14(19): 188-196 (2019) - 2018
- [c3]Sarah Ebling, Necati Cihan Camgöz, Penny Boyes Braem, Katja Tissi, Sandra Sidler-Miserez, Stephanie Stoll, Simon Hadfield, Tobias Haug, Richard Bowden, Sandrine Tornay, Marzieh Razavi, Mathew Magimai-Doss:
SMILE Swiss German Sign Language Dataset. LREC 2018 - 2017
- [c2]Sarah Ebling, Sarah Johnson, Rosalee J. Wolfe, Robyn Moncrief, John McDonald, Souad Baowidan, Tobias Haug, Sandra Sidler-Miserez, Katja Tissi:
Evaluation of Animated Swiss German Sign Language Fingerspelling Sequences and Signs. HCI (8) 2017: 3-13 - 2014
- [c1]Tobias Haug, Jerzy W. Rozenblit, Klaus Buchenrieder:
Movement analysis in laparoscopic surgery training. SummerSim 2014: 41
Coauthor Index
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