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Postdoctoral Researcher
,
Stanford University
2022–
·
PhD Student
,
Stanford University
2015–2022
·
PhD Student
,
University of Konstanz
2015–2022
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Bachelor of Science
,
University of Konstanz
·
Master of Science
,
University of Konstanz
Publications
(42)
Post-processing for Individual Fairness
Neural Information Processing Systems · 2021
101
cited
Grounding Everything: Emerging Localization Properties in Vision-Language Transformers
Computer Vision and Pattern Recognition · 2023
75
cited
Deep Differentiable Logic Gate Networks
Neural Information Processing Systems · 2022
64
cited
Pix2Vex: Image-to-Geometry Reconstruction using a Smooth Differentiable Renderer
arXiv.org · 2019
57
cited
Differentiable Top-k Classification Learning
International Conference on Machine Learning · 2022
42
cited
Differentiable Sorting Networks for Scalable Sorting and Ranking Supervision
International Conference on Machine Learning · 2021
34
cited
Learning with Algorithmic Supervision via Continuous Relaxations
Neural Information Processing Systems · 2021
32
cited
Monotonic Differentiable Sorting Networks
International Conference on Learning Representations · 2022
29
cited
Domain Adaptation meets Individual Fairness. And they get along
Neural Information Processing Systems · 2022
18
cited
GenDR: A Generalized Differentiable Renderer
Computer Vision and Pattern Recognition · 2022
18
cited
Learning by Sorting: Self-supervised Learning with Group Ordering Constraints
IEEE International Conference on Computer Vision · 2023
15
cited
Learning with Differentiable Algorithms
arXiv.org · 2022
11
cited
Neural Machine Translation for Mathematical Formulae
Annual Meeting of the Association for Computational Linguistics · 2023
11
cited
Uncertainty Quantification via Stable Distribution Propagation
International Conference on Learning Representations · 2024
9
cited
ISAAC Newton: Input-based Approximate Curvature for Newton's Method
International Conference on Learning Representations · 2023
5
cited
Style Agnostic 3D Reconstruction via Adversarial Style Transfer
IEEE Workshop/Winter Conference on Applications of Computer Vision · 2021
5
cited
AlgoNet: C∞ Smooth Algorithmic Neural Networks
arXiv.org · 2019
3
cited
AlgoNet: $C^\infty$ Smooth Algorithmic Neural Networks
2019
2
cited
Towards Formula Translation using Recursive Neural Networks
CICM Workshops · 2018
1
cited
AlgoNet: C^\infty Smooth Algorithmic Neural Networks for Solving Inverse Problems
2019
Show all 42 papers →
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Felix Petersen | Researcher Profile | Sotabase | Sotabase