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Anastasja D. Helgesen
PhD student, ISY, Linköping University
Joined
May 2023
Names
Anastasja D. Helgesen
(Preferred)
,
Hannah D Helgesen
,
Nathaniel D Helgesen
,
Hannah Helgesen
,
Nathaniel Helgesen
,
Anastasja Helgesen
Emails
****@liu.se
(Confirmed)
,
****@gmail.com
(Confirmed)
,
****@liu.se
(Confirmed)
Personal Links
Homepage
DBLP
LinkedIn
Career & Education History
PhD student
ISY,
Linköping University
(liu.se)
2022
–
Present
MS student
University of North Texas
(unt.edu)
2021
–
2022
Undergrad student
University of North Texas
(unt.edu)
2019
–
2020
Advisors, Relations & Conflicts
Coworker
Yonghao Xu
2024
–
Present
PhD Advisor
Michael Felsberg
2022
–
Present
PhD Advisor
Jan-Åke Larsson
2022
–
Present
Coauthor
Emanuel Sanchez Aimar
2022
–
Present
Coworker
Per-Erik Forssén
2022
–
Present
Coworker
Bastian Wandt
2022
–
Present
Coworker
Mårten Wadenbäck
2022
–
Present
Coworker
Ziliang Xiong
2022
–
Present
Coauthor
Joakim Johnander
2022
–
Present
Coauthor
Marco Kuhlmann
2023
–
2023
Coworker
Mark V. Albert
2021
–
2022
Coworker
Ruth West
2019
–
2021
Expertise
Mulitclass Classification
,
mistake severity
2025
–
Present
Quantum Machine Learning
,
Quantum Computing
2022
–
Present
machine learning
,
neural networks
,
back-propogation
,
AI
2021
–
Present
Probabilistic AI
,
statistical machine learning
,
bayesian learning
2021
–
Present
Publications
Quan-dorcet: Tournament-Based One-vs-One Quantum Classification for Robust Single-Shot Inference
Anastasja D. Helgesen
,
Jan-Åke Larsson
,
Michael Felsberg
Submitted to ICLR 2026
Readers:
Everyone
CATPlan: Loss-based Collision Prediction in End-to-End Autonomous Driving
Ziliang Xiong
,
Shipeng Liu
,
Nathaniel Helgesen
,
Joakim Johnander
,
Per-Erik Forssén
CoRR 2025
Readers:
Everyone
Flexible Distribution Alignment: Towards Long-Tailed Semi-supervised Learning with Proper Calibration
Emanuel Sanchez Aimar
,
Nathaniel Helgesen
,
Yonghao Xu
,
Marco Kuhlmann
,
Michael Felsberg
ECCV (54) 2024
Readers:
Everyone
Certainty In, Certainty Out: REVQCs for Quantum Machine Learning
Hannah D Helgesen
,
Michael Felsberg
,
Jan-Åke Larsson
ICLR 2024 Conference Withdrawn Submission
Readers:
Everyone
Development and Evaluation of Exploratory Experiences to Facilitate Reasoning About Robotic Systems
Sogol Balali
,
Marisa Hudspeth
,
Ian Afflerbach
,
Hannah Helgesen
,
Jessica McCurry
,
Walid Abu Al-Afia
,
Kelton Bruslind
,
Kathryn Hays
,
Ross T. Sowell
,
Ruth West
,
Cindy M. Grimm
IROS 2023
Readers:
Everyone
Align, Distill, and Augment Everything All at Once for Imbalanced Semi-Supervised Learning
Emanuel Sanchez Aimar
,
Hannah Helgesen
,
Michael Felsberg
,
Marco Kuhlmann
Published: 01 Jan 2023, Last Modified: 29 Sept 2023
CoRR 2023
Readers:
Everyone
Certainty In, Certainty Out: REVQCs for Quantum Machine Learning
Hannah Helgesen
,
Michael Felsberg
,
Jan-Åke Larsson
Published: 01 Jan 2023, Last Modified: 06 Nov 2023
CoRR 2023
Readers:
Everyone
Designing a VR Arena: Integrating Virtual Environments and Physical Spaces for Social Sensorial Data-Driven Experiences
Ruth West
,
Eitan Mendelowitz
,
Thomas Zach
,
Christopher Poovey
,
Luke Hillard
,
Kathryn Hays
,
Nathaniel Helgesen
ERVR 2020
Readers:
Everyone
Co-Authors
Christopher Poovey
Cindy M. Grimm
Eitan Mendelowitz
Emanuel Sanchez Aimar
Ian Afflerbach
Jan-Åke Larsson
Jessica McCurry
Joakim Johnander
Kathryn Hays
Kelton Bruslind
Luke Hillard
Marco Kuhlmann
Marisa Hudspeth
Michael Felsberg
Per-Erik Forssén
Ross T. Sowell
Ruth West
Shipeng Liu
Sogol Balali
Thomas Zach
Walid Abu Al-Afia
Yonghao Xu
Ziliang Xiong