Christian Borgelt
11 papers · 2021–2024 · 4 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (4) π Renaissance Researcher (6) π Interdisciplinary Bridge π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (20)
π
Conference Polyglot
(4)
π€
Dynamic Duo
(11)
π
Triple Crown
π
Century Club
(11)
Conferences
NIPS (5)
ICLR (3)
ICML (2)
CVPR (1)
Top co-authors
Keywords
gradient descent
(3)
differentiable programming
(3)
neural network
(2)
logic gate network
(2)
differentiable sorting
(2)
efficient inference
(1)
3d vision
(1)
neural network training
(1)
discrete optimization
(1)
neural architecture
(1)
loss function optimization
(1)
neural network optimization
(1)
hessian matrix
(1)
continuous relaxation
(1)
top-k classification
(1)
second-order optimization
(1)
convolutional neural network
(1)
differentiable rendering
(1)
cross-entropy loss
(1)
neural rendering
(1)
Papers
Newton Losses: Using Curvature Information for Learning with Differentiable Algorithms
NIPS 2024
TrAct: Making First-layer Pre-Activations Trainable
NIPS 2024
Uncertainty Quantification via Stable Distribution Propagation
ICLR 2024
Convolutional Differentiable Logic Gate Networks
NIPS 2024
ISAAC Newton: Input-based Approximate Curvature for Newton's Method
ICLR 2023
Differentiable Top-k Classification Learning
ICML 2022
Deep Differentiable Logic Gate Networks
NIPS 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
NIPS 2021