Roland Kwitt
23 papers · 2015–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (8) π§ Keyword Pioneer π Academic Marathon (10) π Conference Polyglot (7) π Renaissance Researcher (7)
π
Renaissance Researcher
(7)
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Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(45)
π€
Dynamic Duo
(17)
π
Keyword Champion
π₯
Mega-Team
(22)
π
Century Club
(23)
ποΈ
Keyword Collector
(97)
π
Trend Setter
π
Conference Pioneer
π₯
Unstoppable
(11)
Conferences
CVPR (7)
NIPS (7)
ICML (5)
AISTATS (1)
ICCV (1)
JMLR (1)
MICCAI (1)
Top co-authors
Keywords
persistent homology
(7)
topological data analysis
(6)
neural network
(5)
image registration
(4)
representation learning
(4)
medical imaging
(2)
kernel methods
(2)
deep learning
(2)
transfer learning
(2)
ordinary differential equation
(2)
one-shot learning
(2)
feature transfer
(2)
topological feature
(2)
spatial transformation
(2)
feature learning
(2)
data augmentation
(2)
neural network optimization
(2)
persistence diagram
(2)
attention mechanism
(1)
metric learning
(1)
Papers
CARL: A Framework for Equivariant Image Registration
CVPR 2025
Position: Topological Deep Learning is the New Frontier for Relational Learning
ICML 2024
uniGradICON: A Foundation Model for Medical Image Registration
MICCAI 2024
Neural Persistence Dynamics
NIPS 2024
Latent SDEs on Homogeneous Spaces
NIPS 2023
GradICON: Approximate Diffeomorphisms via Gradient Inverse Consistency
CVPR 2023
On Measuring Excess Capacity in Neural Networks
NIPS 2022
ICON: Learning Regular Maps Through Inverse Consistency
ICCV 2021
Topological Attention for Time Series Forecasting
NIPS 2021
Dissecting Supervised Contrastive Learning
ICML 2021
Graph Filtration Learning
ICML 2020
Topologically Densified Distributions
ICML 2020
A shooting formulation of deep learning
NIPS 2020
Metric Learning for Image Registration
CVPR 2019
Learning Representations of Persistence Barcodes
JMLR 2019
Connectivity-Optimized Representation Learning via Persistent Homology
ICML 2019
Feature Space Transfer for Data Augmentation
CVPR 2018
AGA: Attribute-Guided Augmentation
CVPR 2017
Regression Uncertainty on the Grassmannian
AISTATS 2017
Deep Learning with Topological Signatures
NIPS 2017
One-Shot Learning of Scene Locations via Feature Trajectory Transfer
CVPR 2016
Statistical Topological Data Analysis - A Kernel Perspective
NIPS 2015
A Stable Multi-Scale Kernel for Topological Machine Learning
CVPR 2015