ML Anthology

Petersen, Felix

19 publications

ICLR 2025 CPSample: Classifier Protected Sampling for Guarding Training Data During Diffusion Joshua Kazdan, Hao Sun, Jiaqi Han, Felix Petersen, Frederick Vu, Stefano Ermon
NeurIPSW 2024 CPSample: Classifier Protected Sampling for Guarding Training Data During Diffusion Joshua Kazdan, Hao Sun, Jiaqi Han, Felix Petersen, Frederick Vu, Stefano Ermon
NeurIPS 2024 Convolutional Differentiable Logic Gate Networks Felix Petersen, Hilde Kuehne, Christian Borgelt, Julian Welzel, Stefano Ermon
CVPR 2024 Grounding Everything: Emerging Localization Properties in Vision-Language Transformers Walid Bousselham, Felix Petersen, Vittorio Ferrari, Hilde Kuehne
NeurIPS 2024 Newton Losses: Using Curvature Information for Learning with Differentiable Algorithms Felix Petersen, Christian Borgelt, Tobias Sutter, Hilde Kuehne, Oliver Deussen, Stefano Ermon
NeurIPS 2024 TrAct: Making First-Layer Pre-Activations Trainable Felix Petersen, Christian Borgelt, Stefano Ermon
ICLR 2024 Uncertainty Quantification via Stable Distribution Propagation Felix Petersen, Aashwin Ananda Mishra, Hilde Kuehne, Christian Borgelt, Oliver Deussen, Mikhail Yurochkin
ICLR 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
ICCV 2023 Learning by Sorting: Self-Supervised Learning with Group Ordering Constraints Nina Shvetsova, Felix Petersen, Anna Kukleva, Bernt Schiele, Hilde Kuehne
NeurIPS 2022 Deep Differentiable Logic Gate Networks Felix Petersen, Christian Borgelt, Hilde Kuehne, Oliver Deussen
ICML 2022 Differentiable Top-K Classification Learning Felix Petersen, Hilde Kuehne, Christian Borgelt, Oliver Deussen
NeurIPS 2022 Domain Adaptation Meets Individual Fairness. and They Get Along. Debarghya Mukherjee, Felix Petersen, Mikhail Yurochkin, Yuekai Sun
CVPR 2022 GenDR: A Generalized Differentiable Renderer Felix Petersen, Bastian Goldluecke, Christian Borgelt, Oliver Deussen
ICLR 2022 Monotonic Differentiable Sorting Networks Felix Petersen, Christian Borgelt, Hilde Kuehne, Oliver Deussen
WACV 2022 Style Agnostic 3D Reconstruction via Adversarial Style Transfer Felix Petersen, Bastian Goldluecke, Oliver Deussen, Hilde Kuehne
ICML 2021 Differentiable Sorting Networks for Scalable Sorting and Ranking Supervision Felix Petersen, Christian Borgelt, Hilde Kuehne, Oliver Deussen
NeurIPS 2021 Learning with Algorithmic Supervision via Continuous Relaxations Felix Petersen, Christian Borgelt, Hilde Kuehne, Oliver Deussen
NeurIPS 2021 Post-Processing for Individual Fairness Felix Petersen, Debarghya Mukherjee, Yuekai Sun, Mikhail Yurochkin
NeurIPSW 2019 $C^\infty$ Smooth Algorithmic Neural Networks for Solving Inverse Problems Felix Petersen, Christian Borgelt, Oliver Deussen