Nina Wiedemann

39 papers A* 3Journal 30Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
KernelFoundry: Hardware-aware evolutionary GPU kernel optimization.
CoRR
Nina Wiedemann, Quentin Leboutet, Michael Paulitsch, Diana Wofk, Benjamin Ummenhofer
2025 J jnl
COVID-BLUeS - A Prospective Study on the Value of AI in Lung Ultrasound Analysis.
CoRR
Nina Wiedemann, Dianne de Korte-de Boer, Matthias Richter, Sjors van de Weijer, Charlotte Buhre, Franz A. M. Eggert, Sophie Aarnoudse, Lotte Grevendonk, Steffen Röber, Carlijn M. E. Remie, Wolfgang Buhre, Ronald Henry, Jannis Born
2025 J jnl
COVID-BLUeS - a Prospective Study on the Value of AI in Lung Ultrasound Analysis.
IEEE J. Biomed. Health Informatics
Nina Wiedemann, Dianne de Korte-de Boer, Matthias Richter, Sjors van de Weijer, Charlotte Buhre, Franz A. M. Eggert, Sophie Aarnoudse, Lotte Grevendonk, Steffen Röber, Carlijn M. E. Remie, Wolfgang Buhre, Ronald Henry, Jannis Born
2025 J jnl
GeOT: a spatially explicit framework for evaluating spatio-temporal predictions.
Int. J. Geogr. Inf. Sci.
Nina Wiedemann, Théo Uscidda, Martin Raubal
2025 J jnl
Order Matters: 3D Shape Generation from Sequential VR Sketches.
CoRR
Yizi Chen, Sidi Wu, Tianyi Xiao, Nina Wiedemann, Loïc Landrieu
2025 A* conf
Regress, Don't Guess: A Regression-like Loss on Number Tokens for Language Models.
ICML
Jonas Zausinger, Lars Pennig, Anamarija Kozina, Sean Sdahl, Julian Sikora, Adrian Dendorfer, Timofey Kuznetsov, Mohamad Hagog, Nina Wiedemann, Kacper Chlodny, Vincent Limbach, Anna Ketteler, Thorben Prein, Vishwa Mohan Singh, Michael M. Danziger, Jannis Born
2025 J jnl
Unifi3D: A Study on 3D Representations for Generation and Reconstruction in a Common Framework.
CoRR
Nina Wiedemann, Sainan Liu, Quentin Leboutet, Katelyn Gao, Benjamin Ummenhofer, Michael Paulitsch, Kai Yuan
2025 J jnl
Unifi3D: A Study on 3D Representations for Generation and Reconstruction in a Common Framework.
Trans. Mach. Learn. Res.
Nina Wiedemann, Sainan Liu, Quentin Leboutet, Katelyn Gao, Benjamin Ummenhofer, Michael Paulitsch, Kai Yuan
2025 J jnl
UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations.
CoRR
Dominik J. Mühlematter, Lin Che, Ye Hong, Martin Raubal, Nina Wiedemann
2024 J jnl
An ontology-based approach for harmonizing metrics in bike network evaluations.
Comput. Environ. Urban Syst.
Ayda Grisiute, Nina Wiedemann, Pieter Herthogs, Martin Raubal
2024 J jnl
Bike network planning in limited urban space.
CoRR
Nina Wiedemann, Christian Nöbel, Henry Martin, Lukas Ballo, Martin Raubal
2024 A* conf
MIDGArD: Modular Interpretable Diffusion over Graphs for Articulated Designs.
NeurIPS
Quentin Leboutet, Nina Wiedemann, Zhipeng Cai, Michael Paulitsch, Kai Yuan
2024 J jnl
On the potential of Optimal Transport in Geospatial Data Science.
CoRR
Nina Wiedemann, Théo Uscidda, Martin Raubal
2024 J jnl
Where you go is who you are: a study on machine learning based semantic privacy attacks.
J. Big Data
Nina Wiedemann, Krzysztof Janowicz, Martin Raubal, Ourania Kounadi
2023 — conf
Benchmarking Regression Models Under Spatial Heterogeneity.
GIScience
Nina Wiedemann, Henry Martin, René Westerholt
2023 J jnl
Graph-based mobility profiling.
Comput. Environ. Urban Syst.
Henry Martin, Nina Wiedemann, Daniel J. Reck, Martin Raubal
2023 J jnl
Influence of tracking duration on the privacy of individual mobility graphs.
J. Locat. Based Serv.
Nina Wiedemann, Henry Martin, Esra Suel, Ye Hong, Yanan Xin
2023 J jnl
Metropolitan Segment Traffic Speeds From Massive Floating Car Data in 10 Cities.
IEEE Trans. Intell. Transp. Syst.
Moritz Neun, Christian Eichenberger, Yanan Xin, Cheng Fu, Nina Wiedemann, Henry Martin, Martin Tomko, Lukas Ambühl, Luca Hermes, Michael Kopp
2023 J jnl
Metropolitan Segment Traffic Speeds from Massive Floating Car Data in 10 Cities.
CoRR
Moritz Neun, Christian Eichenberger, Yanan Xin, Cheng Fu, Nina Wiedemann, Henry Martin, Martin Tomko, Lukas Ambühl, Luca Hermes, Michael Kopp
2023 J jnl
National-scale bi-directional EV fleet control for ancillary service provision.
Energy Inform.
Lorenzo Nespoli, Nina Wiedemann, Esra Suel, Yanan Xin, Martin Raubal, Vasco Medici
2023 — conf
Predicting visit frequencies to new places (Short Paper).
GIScience
Nina Wiedemann, Ye Hong, Martin Raubal
2023 J jnl
Spatially-Aware Car-Sharing Demand Prediction.
CoRR
Dominik J. Mühlematter, Nina Wiedemann, Yanan Xin, Martin Raubal
2023 — conf
Thinking Geographically about AI Sustainability.
AGILE Conf.
Meilin Shi, Kitty Currier, Zilong Liu, Krzysztof Janowicz, Nina Wiedemann, Judith Verstegen, Grant McKenzie, Anita Graser, Rui Zhu, Gengchen Mai
2023 J jnl
Trackintel: An open-source Python library for human mobility analysis.
Comput. Environ. Urban Syst.
Henry Martin, Ye Hong, Nina Wiedemann, Dominik Bucher, Martin Raubal
2023 A* conf
Training Efficient Controllers via Analytic Policy Gradient.
ICRA
Nina Wiedemann, Valentin Wüest, Antonio Loquercio, Matthias Müller, Dario Floreano, Davide Scaramuzza
2023 J jnl
Uncertainty Quantification for Image-based Traffic Prediction across Cities.
CoRR
Alexander Timans, Nina Wiedemann, Nishant Kumar, Ye Hong, Martin Raubal
2023 J jnl
Vehicle-to-grid for car sharing - A simulation study for 2030.
CoRR
Nina Wiedemann, Yanan Xin, Vasco Medici, Lorenzo Nespoli, Esra Suel, Martin Raubal
2023 J jnl
Where you go is who you are - A study on machine learning based semantic privacy attacks.
CoRR
Nina Wiedemann, Ourania Kounadi, Martin Raubal, Krzysztof Janowicz
2022 J jnl
National-scale bi-directional EV fleet control for ancillary service provision.
CoRR
Lorenzo Nespoli, Nina Wiedemann, Esra Suel, Yanan Xin, Martin Raubal, Vasco Medici
2022 J jnl
Traffic4cast at NeurIPS 2021 - Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes.
CoRR
Christian Eichenberger, Moritz Neun, Henry Martin, Pedro Herruzo, Markus Spanring, Yichao Lu, Sungbin Choi, Vsevolod Konyakhin, Nina Lukashina, Aleksei Shpilman, Nina Wiedemann, Martin Raubal, Bo Wang, Hai Le Vu, Reza Mohajerpoor, Chen Cai, Inhi Kim, Luca Hermes, Andrew Melnik, Riza Velioglu, Markus Vieth, Malte Schilling, Alabi Bojesomo, Hasan Al-Marzouqi, Panos Liatsis, Jay Santokhi, Dylan Hillier, Yiming Yang, Joned Sarwar, Anna Jordan, Emil Hewage, David Jonietz, Fei Tang, Aleksandra Gruca, Michael Kopp, David P. Kreil, Sepp Hochreiter
2022 J jnl
Training Efficient Controllers via Analytic Policy Gradient.
CoRR
Nina Wiedemann, Valentin Wüest, Antonio Loquercio, Matthias Müller, Dario Floreano, Davide Scaramuzza
2022 — conf
Unlocking social network analysis methods for studying human mobility.
AGILE Conf.
Nina Wiedemann, Henry Martin, Martin Raubal
2021 J jnl
An Optimization Framework for Power Infrastructure Planning.
CoRR
Nina Wiedemann, David Adjiashvili
2021 J jnl
Traffic Forecasting on Traffic Moving Snippets.
CoRR
Nina Wiedemann, Martin Raubal
2021 — conf
Traffic4cast at NeurIPS 2021 - Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes.
NeurIPS (Competition and Demos)
Christian Eichenberger, Moritz Neun, Henry Martin, Pedro Herruzo, Markus Spanring, Yichao Lu, Sungbin Choi, Vsevolod Konyakhin, Nina Lukashina, Aleksei Shpilman, Nina Wiedemann, Martin Raubal, Bo Wang, Hai Le Vu, Reza Mohajerpoor, Chen Cai, Inhi Kim, Luca Hermes, Andrew Melnik, Riza Velioglu, Markus Vieth, Malte Schilling, Alabi Bojesomo, Hasan Al-Marzouqi, Panos Liatsis, Jay Santokhi, Dylan Hillier, Yiming Yang, Joned Sarwar, Anna Jordan, Emil Hewage, David Jonietz, Fei Tang, Aleksandra Gruca, Michael Kopp, David P. Kreil, Sepp Hochreiter
2020 J jnl
A Tracking System For Baseball Game Reconstruction.
CoRR
Nina Wiedemann, Carlos A. Dietrich, Cláudio T. Silva
2020 J jnl
Accelerating COVID-19 Differential Diagnosis with Explainable Ultrasound Image Analysis.
CoRR
Jannis Born, Nina Wiedemann, Gabriel Brändle, Charlotte Buhre, Bastian Rieck, Karsten M. Borgwardt
2020 J jnl
POCOVID-Net: Automatic Detection of COVID-19 From a New Lung Ultrasound Imaging Dataset (POCUS).
CoRR
Jannis Born, Gabriel Brändle, Manuel Cossio, Marion Disdier, Julie Goulet, Jérémie Roulin, Nina Wiedemann
2019 — conf
Towards a Framework for Predictive Maintenance Strategies in Mechanical Engineering - A Method-Oriented Literature Analysis.
Wirtschaftsinformatik
Nina Wiedemann, Friedemann Kammler, Andreas Varwig, Oliver Thomas