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- Roland S. Zimmermann
aka: Roland Simon Zimmermann, Roland Zimmermann 0002
University of Tübingen, Germany - Simone Zimmermann
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Publication search results
found 78 matches
- 2024
- Christoph Gasser, Simon Michael Laube, Kerstin Schneider-Hornstein, Horst Zimmermann:
Ultra Sensitive PIN-Diode Receiver Utilizing Photocurrent Integration on a Parasitic Capacitance. IEEE Access 12: 118371-118376 (2024) - Shota Ito, Julius Jeßberger, Stephan Simonis, Fedor Bukreev, Adrian Kummerländer, Alexander Zimmermann, Gudrun Thäter, Georg R. Pesch, Jorg Thöming, Mathias J. Krause:
Identification of reaction rate parameters from uncertain spatially distributed concentration data using gradient-based PDE constrained optimization. Comput. Math. Appl. 167: 249-263 (2024) - Robert Geirhos, Roland S. Zimmermann, Blair L. Bilodeau, Wieland Brendel, Been Kim:
Don't trust your eyes: on the (un)reliability of feature visualizations. ICML 2024 - Simon Mataigne, Ralf Zimmermann, Nina Miolane:
An efficient algorithm for the Riemannian logarithm on the Stiefel manifold for a family of Riemannian metrics. CoRR abs/2403.11730 (2024) - Evgenia Rusak, Patrik Reizinger, Attila Juhos, Oliver Bringmann, Roland S. Zimmermann, Wieland Brendel:
InfoNCE: Identifying the Gap Between Theory and Practice. CoRR abs/2407.00143 (2024) - 2023
- Jean-Paul Calbimonte, Andrei Ciortea, Timotheus Kampik, Simon Mayer, Terry R. Payne, Valentina A. M. Tamma, Antoine Zimmermann:
Autonomy in the Age of Knowledge Graphs: Vision and Challenges. TGDK 1(1): 13:1-13:22 (2023) - Lukas Lorentz, Mariella Simone, Marcel Zimmermann, Bettina Studer, Boris Suchan, Anita Althausen, Jana Estocinová, Kristina Müller, Michael Lendt:
Evaluation of a VR prototype for neuropsychological rehabilitation of attentional functions. Virtual Real. 27(1): 187-199 (2023) - Jack Brady, Roland S. Zimmermann, Yash Sharma, Bernhard Schölkopf, Julius von Kügelgen, Wieland Brendel:
Provably Learning Object-Centric Representations. ICML 2023: 3038-3062 - Bhavya Sukhija, Nathanael Köhler, Miguel Zamora, Simon Zimmermann, Sebastian Curi, Andreas Krause, Stelian Coros:
Gradient-Based Trajectory Optimization With Learned Dynamics. ICRA 2023: 1011-1018 - Roland S. Zimmermann, Thomas Klein, Wieland Brendel:
Scale Alone Does not Improve Mechanistic Interpretability in Vision Models. NeurIPS 2023 - Fumiaki Toyoshima, Megan Katsumi, Guendalina Righetti, Stefano De Giorgis, Maria M. Hedblom, Oliver Kutz, Boyan Brodaric, Michael Grüninger, Torsten Hahmann, Damion Dooley Simon, Matthew Lange, Hande Küçük-McGinty, Anoosha Sehar Simon, Rhiannon Cameron, Bart Gajderowicz, Daniela Rosu, Janna Hastings, Davide Audrito, Luigi Di Caro, Francesca Grasso, Roberto Nai, Emilio Sulis, Loris Bozzato, Cogan Shimizu, Antoine Zimmermann, Riccardo Baratella, Stefano Borgo, Sergio de Cesare, Tiago Prince Sales:
Proceedings of the Joint Ontology Workshops 2023 Episode IX: The Quebec Summer of Ontology co-located with the 13th International Conference on Formal Ontology in Information Systems (FOIS 2023), Sherbrooke, Québec, Canada, July 19-20, 2023. CEUR Workshop Proceedings 3637, CEUR-WS.org 2023 [contents] - Jack Brady, Roland S. Zimmermann, Yash Sharma, Bernhard Schölkopf, Julius von Kügelgen, Wieland Brendel:
Provably Learning Object-Centric Representations. CoRR abs/2305.14229 (2023) - Roland S. Zimmermann, Sjoerd van Steenkiste, Mehdi S. M. Sajjadi, Thomas Kipf, Klaus Greff:
Sensitivity of Slot-Based Object-Centric Models to their Number of Slots. CoRR abs/2305.18890 (2023) - Robert Geirhos, Roland S. Zimmermann, Blair L. Bilodeau, Wieland Brendel, Been Kim:
Don't trust your eyes: on the (un)reliability of feature visualizations. CoRR abs/2306.04719 (2023) - Roland S. Zimmermann, Thomas Klein, Wieland Brendel:
Scale Alone Does not Improve Mechanistic Interpretability in Vision Models. CoRR abs/2307.05471 (2023) - 2022
- Simon Zimmermann:
Optimization-Based Motion Planning for Dynamic Robotic Manipulation of Physical Systems. ETH Zurich, Zürich, Switzerland, 2022 - Simon Zimmermann, Matthias Busenhart, Simon Huber, Roi Poranne, Stelian Coros:
Differentiable Collision Avoidance Using Collision Primitives. IROS 2022: 8086-8093 - Roland S. Zimmermann, Wieland Brendel, Florian Tramèr, Nicholas Carlini:
Increasing Confidence in Adversarial Robustness Evaluations. NeurIPS 2022 - Nathanael Köhler, Bhavya Sukhija, Miguel Zamora, Simon Zimmermann, Stelian Coros:
Trajectory Optimization Using Neural Network Gradients of Learned Dynamics. CoRR abs/2204.04558 (2022) - Simon Zimmermann, Matthias Busenhart, Simon Huber, Roi Poranne, Stelian Coros:
Differentiable Collision Avoidance Using Collision Primitives. CoRR abs/2204.09352 (2022) - Simon Pfingstl, Markus Zimmermann:
On Integrating Prior Knowledge into Gaussian Processes for Prognostic Health Monitoring. CoRR abs/2206.08600 (2022) - Roland S. Zimmermann, Wieland Brendel, Florian Tramèr, Nicholas Carlini:
Increasing Confidence in Adversarial Robustness Evaluations. CoRR abs/2206.13991 (2022) - 2021
- Simon Zimmermann, Roi Poranne, Stelian Coros:
Dynamic Manipulation of Deformable Objects With Implicit Integration. IEEE Robotics Autom. Lett. 6(2): 4209-4216 (2021) - Judy Borowski, Roland Simon Zimmermann, Judith Schepers, Robert Geirhos, Thomas S. A. Wallis, Matthias Bethge, Wieland Brendel:
Exemplary Natural Images Explain CNN Activations Better than State-of-the-Art Feature Visualization. ICLR 2021 - Roland S. Zimmermann, Yash Sharma, Steffen Schneider, Matthias Bethge, Wieland Brendel:
Contrastive Learning Inverts the Data Generating Process. ICML 2021: 12979-12990 - Simon Zimmermann, Roi Poranne, Stelian Coros:
Go Fetch! - Dynamic Grasps using Boston Dynamics Spot with External Robotic Arm. ICRA 2021: 4488-4494 - Dongho Kang, Simon Zimmermann, Stelian Coros:
Animal Gaits on Quadrupedal Robots Using Motion Matching and Model-Based Control. IROS 2021: 8500-8507 - Roland S. Zimmermann, Judy Borowski, Robert Geirhos, Matthias Bethge, Thomas S. A. Wallis, Wieland Brendel:
How Well do Feature Visualizations Support Causal Understanding of CNN Activations? NeurIPS 2021: 11730-11744 - Roland S. Zimmermann, Yash Sharma, Steffen Schneider, Matthias Bethge, Wieland Brendel:
Contrastive Learning Inverts the Data Generating Process. CoRR abs/2102.08850 (2021) - Roland S. Zimmermann, Judy Borowski, Robert Geirhos, Matthias Bethge, Thomas S. A. Wallis, Wieland Brendel:
How Well do Feature Visualizations Support Causal Understanding of CNN Activations? CoRR abs/2106.12447 (2021)
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