Movement analysis in laparoscopic surgery training. - Tobias Haug; Jerzy W. Rozenblit; Klaus Buchenrieder (SummerSim, 2014)

Evaluation of Animated Swiss German Sign Language Fingerspelling Sequences and Signs. - Sarah Ebling; Sarah Johnson 002; Rosalee J. Wolfe; Robyn Moncrief; John McDonald 004; Souad Baowidan; Tobias Haug; Sandra Sidler-Miserez; Katja Tissi (HCI (8), 2017)

SMILE Swiss German Sign Language Dataset. - 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 (LREC, 2018)

Using Open-Source Software for Sign Language Learning and Assessment. - Tobias Haug; Sarah Ebling (Int. J. Emerg. Technol. Learn., 2019)

Noisy intermediate-scale quantum (NISQ) algorithms. - 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; et al. (CoRR, 2021)

Capacity and quantum geometry of parametrized quantum circuits. - Tobias Haug; Kishor Bharti; M. S. Kim 001 (CoRR, 2021)

Optimal training of variational quantum algorithms without barren plateaus. - Tobias Haug; M. S. Kim 001 (CoRR, 2021)

NISQ Algorithm for Semidefinite Programming. - Kishor Bharti; Tobias Haug; Vlatko Vedral; Leong-Chuan Kwek (CoRR, 2021)

Large-scale quantum machine learning. - Tobias Haug; Chris N. Self; M. S. Kim 001 (CoRR, 2021)

Classifying global state preparation via deep reinforcement learning. - Tobias Haug; Wai-Keong Mok; Jia-Bin You; Wenzu Zhang; Ching Eng Png; Leong-Chuan Kwek (Mach. Learn. Sci. Technol., 2021)

Development of a Technology-Assisted Assessment for Sign Language Learning. - Tobias Haug; Sarah Ebling; Katja Tissi; Sandra Sidler-Miserez; Penny Boyes Braem (Int. J. Emerg. Technol. Learn., 2022)

Generalization with quantum geometry for learning unitaries. - Tobias Haug; M. S. Kim 001 (CoRR, 2023)

Quantum machine learning of large datasets using randomized measurements. - Tobias Haug; Chris N. Self; M. S. Kim 001 (Mach. Learn. Sci. Technol., 2023)

Stabilizer entropies and nonstabilizerness monotones. - Tobias Haug; Lorenzo Piroli (Quantum, 2023)

Modelling the Distribution of Human Motion for Sign Language Assessment. - Oliver Cory; Ozge Mercanoglu Sincan; Matthew J. Vowels; Alessia Battisti; Franz Holzknecht; Katja Tissi; Sandra Sidler-Miserez; Tobias Haug; Sarah Ebling; Richard Bowden (ECCV Workshops (12), 2024)

Pseudorandom density matrices. - Nikhil Bansal 005; Wai-Keong Mok; Kishor Bharti; Dax Enshan Koh; Tobias Haug (CoRR, 2024)

MaxSAT decoders for arbitrary CSS codes. - Mohammadreza Noormandipour; Tobias Haug (CoRR, 2024)

Probing quantum complexity via universal saturation of stabilizer entropies. - Tobias Haug; Leandro Aolita; M. S. Kim (Quantum, 2025)

Pseudorandom unitaries are neither real nor sparse nor noise-robust. - Tobias Haug; Kishor Bharti; Dax Enshan Koh (Quantum, 2025)

Pseudorandom quantum authentication. - Tobias Haug; Nikhil Bansal 005; Wai-Keong Mok; Dax Enshan Koh; Kishor Bharti (CoRR, 2025)

Efficient witnessing and testing of magic in mixed quantum states. - Tobias Haug; Poetri Sonya Tarabunga (CoRR, 2025)