Felix Petersen
18 papers · 2021–2025 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+6 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (48) π Interdisciplinary Bridge Β· Silver π Conference Polyglot Β· Silver π Triple Crown π€ Dynamic Duo (12)
π
Triple Crown
ποΈ
Keyword Collector
(99)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Renaissance Researcher
(5)
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(14)
Deep Learning
(13)
Artificial Intelligence
(7)
Optimization & Theory Β· Machine Learning
(7)
Architectures
(6)
Core AI
(6)
Core Methods
(5)
Application Areas
(4)
Learning Types Β· Machine Learning
(4)
Learning Types Β· Deep Learning
(4)
Computer Vision
(3)
Models
(3)
Optimization & Theory Β· Deep Learning
(3)
Mathematics & Optimization
(2)
Analysis
(2)
Keywords
differentiable sorting
(3)
differentiable programming
(3)
gradient descent
(3)
differentiable rendering
(2)
domain adaptation
(2)
convolutional neural network
(2)
neural network
(2)
individual fairness
(2)
sorting network
(2)
ranking supervision
(2)
3d reconstruction
(2)
algorithmic fairness
(2)
logic gate network
(2)
uncertainty quantification
(1)
style transfer
(1)
semantic segmentation
(1)
gradient-based optimization
(1)
zero-shot learning
(1)
representation learning
(1)
graph laplacian
(1)
Papers
CPSample: Classifier Protected Sampling for Guarding Training Data During Diffusion
ICLR 2025
Convolutional Differentiable Logic Gate Networks
NeurIPS 2024
Grounding Everything: Emerging Localization Properties in Vision-Language Transformers
CVPR 2024
Newton Losses: Using Curvature Information for Learning with Differentiable Algorithms
NeurIPS 2024
TrAct: Making First-layer Pre-Activations Trainable
NeurIPS 2024
Uncertainty Quantification via Stable Distribution Propagation
ICLR 2024
ISAAC Newton: Input-based Approximate Curvature for Newton's Method
ICLR 2023
Learning by Sorting: Self-supervised Learning with Group Ordering Constraints
ICCV 2023
Neural Machine Translation for Mathematical Formulae
ACL 2023
Deep Differentiable Logic Gate Networks
NeurIPS 2022
Differentiable Top-k Classification Learning
ICML 2022
Domain Adaptation meets Individual Fairness. And they get along.
NeurIPS 2022
GenDR: A Generalized Differentiable Renderer
CVPR 2022
Monotonic Differentiable Sorting Networks
ICLR 2022
Style Agnostic 3D Reconstruction via Adversarial Style Transfer
WACV 2022
Differentiable Sorting Networks for Scalable Sorting and Ranking Supervision
ICML 2021
Learning with Algorithmic Supervision via Continuous Relaxations
NeurIPS 2021
Post-processing for Individual Fairness
NeurIPS 2021