Felix Petersen

45 papers A* 16A 1Journal 24Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Unpaired Image-to-Image Translation via a Self-Supervised Semantic Bridge.
CoRR
Jiaming Liu, Felix Petersen, Yunhe Gao, Yabin Zhang, Hyojin Kim, Akshay S. Chaudhari, Yu Sun, Stefano Ermon, Sergios Gatidis
2025 A* conf
CPSample: Classifier Protected Sampling for Guarding Training Data During Diffusion.
ICLR
Joshua Kazdan, Hao Sun, Jiaqi Han, Felix Petersen, Frederick Vu, Stefano Ermon
2024 J jnl
CPSample: Classifier Protected Sampling for Guarding Training Data During Diffusion.
CoRR
Joshua Kazdan, Hao Sun, Jiaqi Han, Felix Petersen, Stefano Ermon
2024 A* conf
Convolutional Differentiable Logic Gate Networks.
NeurIPS
Felix Petersen, Hilde Kuehne, Christian Borgelt, Julian Welzel, Stefano Ermon
2024 J jnl
Convolutional Differentiable Logic Gate Networks.
CoRR
Felix Petersen, Hilde Kuehne, Christian Borgelt, Julian Welzel, Stefano Ermon
2024 J jnl
Generalizing Stochastic Smoothing for Differentiation and Gradient Estimation.
CoRR
Felix Petersen, Christian Borgelt, Aashwin Ananda Mishra, Stefano Ermon
2024 A* conf
Grounding Everything: Emerging Localization Properties in Vision-Language Transformers.
CVPR
Walid Bousselham, Felix Petersen, Vittorio Ferrari, Hilde Kuehne
2024 A* conf
Newton Losses: Using Curvature Information for Learning with Differentiable Algorithms.
NeurIPS
Felix Petersen, Christian Borgelt, Tobias Sutter, Hilde Kuehne, Oliver Deussen, Stefano Ermon
2024 J jnl
Newton Losses: Using Curvature Information for Learning with Differentiable Algorithms.
CoRR
Felix Petersen, Christian Borgelt, Tobias Sutter, Hilde Kuehne, Oliver Deussen, Stefano Ermon
2024 A* conf
TrAct: Making First-layer Pre-Activations Trainable.
NeurIPS
Felix Petersen, Christian Borgelt, Stefano Ermon
2024 J jnl
TrAct: Making First-layer Pre-Activations Trainable.
CoRR
Felix Petersen, Christian Borgelt, Stefano Ermon
2024 A* conf
Uncertainty Quantification via Stable Distribution Propagation.
ICLR
Felix Petersen, Aashwin Ananda Mishra, Hilde Kuehne, Christian Borgelt, Oliver Deussen, Mikhail Yurochkin
2024 J jnl
Uncertainty Quantification via Stable Distribution Propagation.
CoRR
Felix Petersen, Aashwin Ananda Mishra, Hilde Kuehne, Christian Borgelt, Oliver Deussen, Mikhail Yurochkin
2023 J jnl
Grounding Everything: Emerging Localization Properties in Vision-Language Transformers.
CoRR
Walid Bousselham, Felix Petersen, Vittorio Ferrari, Hilde Kuehne
2023 A* conf
ISAAC Newton: Input-based Approximate Curvature for Newton's Method.
ICLR
Felix Petersen, Tobias Sutter, Christian Borgelt, Dongsung Huh, Hilde Kuehne, Yuekai Sun, Oliver Deussen
2023 J jnl
ISAAC Newton: Input-based Approximate Curvature for Newton's Method.
CoRR
Felix Petersen, Tobias Sutter, Christian Borgelt, Dongsung Huh, Hilde Kuehne, Yuekai Sun, Oliver Deussen
2023 A* conf
Learning by Sorting: Self-supervised Learning with Group Ordering Constraints.
ICCV
Nina Shvetsova, Felix Petersen, Anna Kukleva, Bernt Schiele, Hilde Kuehne
2023 J jnl
Learning by Sorting: Self-supervised Learning with Group Ordering Constraints.
CoRR
Nina Shvetsova, Felix Petersen, Anna Kukleva, Bernt Schiele, Hilde Kuehne
2023 — conf
Neural Machine Translation for Mathematical Formulae.
ACL (1)
Felix Petersen, Moritz Schubotz, André Greiner-Petter, Bela Gipp
2023 J jnl
Neural Machine Translation for Mathematical Formulae.
CoRR
Felix Petersen, Moritz Schubotz, André Greiner-Petter, Bela Gipp
2022 A* conf
Deep Differentiable Logic Gate Networks.
NeurIPS
Felix Petersen, Christian Borgelt, Hilde Kuehne, Oliver Deussen
2022 J jnl
Deep Differentiable Logic Gate Networks.
CoRR
Felix Petersen, Christian Borgelt, Hilde Kuehne, Oliver Deussen
2022 A* conf
Differentiable Top-k Classification Learning.
ICML
Felix Petersen, Hilde Kuehne, Christian Borgelt, Oliver Deussen
2022 J jnl
Differentiable Top-k Classification Learning.
CoRR
Felix Petersen, Hilde Kuehne, Christian Borgelt, Oliver Deussen
2022 A* conf
Domain Adaptation meets Individual Fairness. And they get along.
NeurIPS
Debarghya Mukherjee, Felix Petersen, Mikhail Yurochkin, Yuekai Sun
2022 J jnl
Domain Adaptation meets Individual Fairness. And they get along.
CoRR
Debarghya Mukherjee, Felix Petersen, Mikhail Yurochkin, Yuekai Sun
2022 A* conf
GenDR: A Generalized Differentiable Renderer.
CVPR
Felix Petersen, Bastian Goldluecke, Christian Borgelt, Oliver Deussen
2022 J jnl
GenDR: A Generalized Differentiable Renderer.
CoRR
Felix Petersen, Bastian Goldluecke, Christian Borgelt, Oliver Deussen
2022 J jnl
Learning with Differentiable Algorithms.
CoRR
Felix Petersen
2022 — —
Learning with Differentiable Algorithms.
Felix Petersen
2022 — ch.
Lernen mit differenzierbaren Algorithmen.
Ausgezeichnete Informatikdissertationen
Felix Petersen
2022 A* conf
Monotonic Differentiable Sorting Networks.
ICLR
Felix Petersen, Christian Borgelt, Hilde Kuehne, Oliver Deussen
2022 J jnl
Monotonic Differentiable Sorting Networks.
CoRR
Felix Petersen, Christian Borgelt, Hilde Kuehne, Oliver Deussen
2022 A conf
Style Agnostic 3D Reconstruction via Adversarial Style Transfer.
WACV
Felix Petersen, Bastian Goldluecke, Oliver Deussen, Hilde Kuehne
2021 A* conf
Differentiable Sorting Networks for Scalable Sorting and Ranking Supervision.
ICML
Felix Petersen, Christian Borgelt, Hilde Kuehne, Oliver Deussen
2021 J jnl
Differentiable Sorting Networks for Scalable Sorting and Ranking Supervision.
CoRR
Felix Petersen, Christian Borgelt, Hilde Kuehne, Oliver Deussen
2021 A* conf
Learning with Algorithmic Supervision via Continuous Relaxations.
NeurIPS
Felix Petersen, Christian Borgelt, Hilde Kuehne, Oliver Deussen
2021 J jnl
Learning with Algorithmic Supervision via Continuous Relaxations.
CoRR
Felix Petersen, Christian Borgelt, Hilde Kuehne, Oliver Deussen
2021 A* conf
Post-processing for Individual Fairness.
NeurIPS
Felix Petersen, Debarghya Mukherjee, Yuekai Sun, Mikhail Yurochkin
2021 J jnl
Post-processing for Individual Fairness.
CoRR
Felix Petersen, Debarghya Mukherjee, Yuekai Sun, Mikhail Yurochkin
2021 J jnl
Style Agnostic 3D Reconstruction via Adversarial Style Transfer.
CoRR
Felix Petersen, Bastian Goldluecke, Oliver Deussen, Hilde Kuehne
2019 J jnl
AlgoNet: C
CoRR
Felix Petersen, Christian Borgelt, Oliver Deussen
2019 J jnl
Pix2Vex: Image-to-Geometry Reconstruction using a Smooth Differentiable Renderer.
CoRR
Felix Petersen, Amit H. Bermano, Oliver Deussen, Daniel Cohen-Or
2018 — conf
Towards Formula Translation using Recursive Neural Networks.
CICM Workshops
Felix Petersen, Moritz Schubotz, Bela Gipp
2018 J jnl
Towards Formula Translation using Recursive Neural Networks.
CoRR
Felix Petersen, Moritz Schubotz, Bela Gipp