Felix Petersen

According to our database, Felix Petersen authored at least 22 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Generalizing Stochastic Smoothing for Differentiation and Gradient Estimation.

Felix Petersen, Christian Borgelt, Aashwin Ananda Mishra, Stefano Ermon

CoRR, 2024

CPSample: Classifier Protected Sampling for Guarding Training Data During Diffusion.

Joshua Kazdan, Hao Sun, Jiaqi Han, Felix Petersen, Stefano Ermon

CoRR, 2024

Uncertainty Quantification via Stable Distribution Propagation.

Felix Petersen, Aashwin Ananda Mishra, Hilde Kuehne, Christian Borgelt, Oliver Deussen, Mikhail Yurochkin

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Grounding Everything: Emerging Localization Properties in Vision-Language Transformers.

Walid Bousselham, Felix Petersen, Vittorio Ferrari, Hilde Kuehne

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

ISAAC Newton: Input-based Approximate Curvature for Newton's Method.

Felix Petersen, Tobias Sutter, Christian Borgelt, Dongsung Huh, Hilde Kuehne, Yuekai Sun, Oliver Deussen

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning by Sorting: Self-supervised Learning with Group Ordering Constraints.

Nina Shvetsova, Felix Petersen, Anna Kukleva, Bernt Schiele, Hilde Kuehne

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Neural Machine Translation for Mathematical Formulae.

Felix Petersen, Moritz Schubotz, André Greiner-Petter, Bela Gipp

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Lernen mit differenzierbaren Algorithmen.

Felix Petersen

Ausgezeichnete Informatikdissertationen, 2022

Learning with Differentiable Algorithms.

Felix Petersen

PhD thesis, 2022

Learning with Differentiable Algorithms.

Felix Petersen

CoRR, 2022

Style Agnostic 3D Reconstruction via Adversarial Style Transfer.

Felix Petersen, Bastian Goldluecke, Oliver Deussen, Hilde Kuehne

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Deep Differentiable Logic Gate Networks.

Felix Petersen, Christian Borgelt, Hilde Kuehne, Oliver Deussen

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Domain Adaptation meets Individual Fairness. And they get along.

Debarghya Mukherjee, Felix Petersen, Mikhail Yurochkin, Yuekai Sun

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Differentiable Top-k Classification Learning.

Felix Petersen, Hilde Kuehne, Christian Borgelt, Oliver Deussen

Proceedings of the International Conference on Machine Learning, 2022

Monotonic Differentiable Sorting Networks.

Felix Petersen, Christian Borgelt, Hilde Kuehne, Oliver Deussen

Proceedings of the Tenth International Conference on Learning Representations, 2022

GenDR: A Generalized Differentiable Renderer.

Felix Petersen, Bastian Goldluecke, Christian Borgelt, Oliver Deussen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Post-processing for Individual Fairness.

Felix Petersen, Debarghya Mukherjee, Yuekai Sun, Mikhail Yurochkin

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning with Algorithmic Supervision via Continuous Relaxations.

Felix Petersen, Christian Borgelt, Hilde Kuehne, Oliver Deussen

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Differentiable Sorting Networks for Scalable Sorting and Ranking Supervision.

Felix Petersen, Christian Borgelt, Hilde Kuehne, Oliver Deussen

Proceedings of the 38th International Conference on Machine Learning, 2021

2019

AlgoNet: C^∞ Smooth Algorithmic Neural Networks.

Felix Petersen, Christian Borgelt, Oliver Deussen

CoRR, 2019

Pix2Vex: Image-to-Geometry Reconstruction using a Smooth Differentiable Renderer.

Felix Petersen, Amit H. Bermano, Oliver Deussen, Daniel Cohen-Or

CoRR, 2019

2018

Towards Formula Translation using Recursive Neural Networks.

Felix Petersen, Moritz Schubotz, Bela Gipp

Proceedings of the Joint Proceedings of the CME-EI, 2018