| Post-processing for Individual Fairness F Petersen*, D Mukherjee*, Y Sun, M Yurochkin Advances in Neural Information Processing Systems 34, 25944-25955, 2021 | 67 | 2021 |
| Pix2Vex: Image-to-Geometry Reconstruction using a Smooth Differentiable Renderer F Petersen, AH Bermano, O Deussen, D Cohen-Or arXiv preprint arXiv:1903.11149, 2019 | 54 | 2019 |
| Differentiable Sorting Networks for Scalable Sorting and Ranking Supervision F Petersen, C Borgelt, H Kuehne, O Deussen International Conference on Machine Learning 2021, 2021 | 27 | 2021 |
| Learning with Algorithmic Supervision via Continuous Relaxations F Petersen, C Borgelt, H Kuehne, O Deussen Advances in Neural Information Processing Systems 34, 16520-16531, 2021 | 26 | 2021 |
| Differentiable Top-k Classification Learning F Petersen, H Kuehne, C Borgelt, O Deussen International Conference on Machine Learning, 17656-17668, 2022 | 23 | 2022 |
| GenDR: A Generalized Differentiable Renderer F Petersen, B Goldluecke, C Borgelt, O Deussen Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2022 | 21 | 2022 |
| Monotonic Differentiable Sorting Networks F Petersen, C Borgelt, H Kuehne, O Deussen International Conference on Learning Representations, 2022 | 20 | 2022 |
| Domain Adaptation meets Individual Fairness. And they get along D Mukherjee*, F Petersen*, M Yurochkin, Y Sun Advances in Neural Information Processing Systems 35, 2022 | 15 | 2022 |
| Deep Differentiable Logic Gate Networks F Petersen, C Borgelt, H Kuehne, O Deussen Advances in Neural Information Processing Systems (NeurIPS), 2022 | 13 | 2022 |
| Learning with Differentiable Algorithms F Petersen arXiv preprint arXiv:2209.00616, 2022 | 12 | 2022 |
| Grounding Everything: Emerging Localization Properties in Vision-Language Transformers W Bousselham, F Petersen, V Ferrari, H Kuehne IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024 | 5 | 2024 |
| Style Agnostic 3D Reconstruction via Adversarial Style Transfer F Petersen, B Goldluecke, O Deussen, H Kuehne Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 5 | 2022 |
| AlgoNet: Smooth Algorithmic Neural Networks F Petersen, C Borgelt, O Deussen arXiv preprint arXiv:1905.06886, 2019 | 5 | 2019 |
| Learning by Sorting: Self-supervised Learning with Group Ordering Constraints N Shvetsova, F Petersen, A Kukleva, B Schiele, H Kuehne International Conference on Computer Vision (ICCV), 2023 | 4 | 2023 |
| Towards Formula Translation using Recursive Neural Networks F Petersen, M Schubotz, B Gipp International Conference on Intelligent Computer Mathematics (CICM), 2018 | 3 | 2018 |
| Neural Machine Translation for Mathematical Formulae F Petersen, M Schubotz, A Greiner-Petter, B Gipp Association for Computational Linguistics (ACL) Main Conference Paper, 2023 | 2 | 2023 |
| ISAAC Newton: Input-based Approximate Curvature for Newton's Method F Petersen, T Sutter, C Borgelt, D Huh, H Kuehne, Y Sun, O Deussen International Conference on Learning Representations, 2023 | 1 | 2023 |
| Uncertainty Quantification via Stable Distribution Propagation F Petersen, A Mishra, H Kuehne, C Borgelt, O Deussen, M Yurochkin International Conference on Learning Representations 2024, 2024 | | 2024 |
| Lernen mit differenzierbaren Algorithmen F Petersen Gesellschaft für Informatik eV, 2023 | | 2023 |
| Distributional Quantization F Petersen, T Sutter https://github.com/Felix-Petersen/distquant, 2023 | | 2023 |
Oliver DeussenProfessor of Computer Science, University of Konstanz Verified email at uni-konstanz.de
