Roland Kwitt
23 papers · 2015–2025 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (43) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Deep Specialist
(10)
π₯
Mega-Team Β· Squad
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Keyword Champion
π€
Dynamic Duo
(17)
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Renaissance Researcher
(5)
π₯
Unstoppable Β· Silver
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Conference Pioneer
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Century Club Β· Bronze
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Trend Setter
ποΈ
Keyword Collector
(104)
Top co-authors
Research topics
Machine Learning
(21)
Deep Learning
(15)
Core Methods
(15)
Architectures
(8)
Optimization & Theory Β· Machine Learning
(8)
Mathematics & Optimization
(7)
Learning Types Β· Deep Learning
(6)
Mathematics
(6)
Learning Types Β· Machine Learning
(5)
Computer Vision
(3)
Application Areas
(3)
Optimization
(3)
Optimization & Theory Β· Deep Learning
(3)
Artificial Intelligence
(2)
Data Science & Analytics
(2)
Keywords
persistent homology
(7)
topological data analysis
(6)
neural network
(5)
image registration
(4)
representation learning
(4)
topological feature
(3)
kernel methods
(2)
one-shot learning
(2)
feature transfer
(2)
transfer learning
(2)
ordinary differential equation
(2)
persistence diagram
(2)
deep learning
(2)
spatial transformation
(2)
medical imaging
(2)
neural network optimization
(2)
data augmentation
(2)
feature learning
(2)
interpretability
(1)
graph classification
(1)
Papers
CARL: A Framework for Equivariant Image Registration
CVPR 2025
Neural Persistence Dynamics
NeurIPS 2024
Position: Topological Deep Learning is the New Frontier for Relational Learning
ICML 2024
uniGradICON: A Foundation Model for Medical Image Registration
MICCAI 2024
GradICON: Approximate Diffeomorphisms via Gradient Inverse Consistency
CVPR 2023
Latent SDEs on Homogeneous Spaces
NeurIPS 2023
On Measuring Excess Capacity in Neural Networks
NeurIPS 2022
Dissecting Supervised Contrastive Learning
ICML 2021
ICON: Learning Regular Maps Through Inverse Consistency
ICCV 2021
Topological Attention for Time Series Forecasting
NeurIPS 2021
A shooting formulation of deep learning
NeurIPS 2020
Graph Filtration Learning
ICML 2020
Topologically Densified Distributions
ICML 2020
Connectivity-Optimized Representation Learning via Persistent Homology
ICML 2019
Learning Representations of Persistence Barcodes
JMLR 2019
Metric Learning for Image Registration
CVPR 2019
Feature Space Transfer for Data Augmentation
CVPR 2018
AGA: Attribute-Guided Augmentation
CVPR 2017
Deep Learning with Topological Signatures
NeurIPS 2017
Regression Uncertainty on the Grassmannian
AISTATS 2017
One-Shot Learning of Scene Locations via Feature Trajectory Transfer
CVPR 2016
A Stable Multi-Scale Kernel for Topological Machine Learning
CVPR 2015
Statistical Topological Data Analysis - A Kernel Perspective
NeurIPS 2015