Christian Borgelt
11 papers · 2021–2024 · 4 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (24) π Interdisciplinary Bridge Β· Silver π Conference Polyglot Β· Bronze π Triple Crown π€ Dynamic Duo (11)
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Century Club Β· Bronze
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Keyword Collector
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Deep Learning
(9)
Machine Learning
(9)
Optimization & Theory Β· Machine Learning
(6)
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(4)
Core Methods
(4)
Optimization & Theory Β· Deep Learning
(3)
Artificial Intelligence
(2)
Mathematics & Optimization
(2)
Core AI
(2)
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(2)
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Computer Science
(1)
Computer Vision
(1)
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(1)
Keywords
differentiable sorting
(3)
differentiable programming
(3)
gradient descent
(3)
logic gate network
(2)
ranking supervision
(2)
sorting network
(2)
neural network
(2)
weakly supervised learning
(1)
uncertainty quantification
(1)
3d reconstruction
(1)
neural network optimization
(1)
neural architecture
(1)
discrete optimization
(1)
neural rendering
(1)
efficient inference
(1)
gradient-based optimization
(1)
selective prediction
(1)
newton's method
(1)
continuous relaxation
(1)
3d vision
(1)
Papers
Convolutional Differentiable Logic Gate Networks
NeurIPS 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
Deep Differentiable Logic Gate Networks
NeurIPS 2022
Differentiable Top-k Classification Learning
ICML 2022
GenDR: A Generalized Differentiable Renderer
CVPR 2022
Monotonic Differentiable Sorting Networks
ICLR 2022
Differentiable Sorting Networks for Scalable Sorting and Ranking Supervision
ICML 2021
Learning with Algorithmic Supervision via Continuous Relaxations
NeurIPS 2021