Rebecka Jörnsten
5 papers · 2021–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(18)
🔥
Unstoppable · Bronze
Venues
Top co-authors
Research topics
Keywords
gradient descent
(2)
dimensionality reduction
(1)
sparse representation
(1)
ridge regression
(1)
point cloud
(1)
3d vision
(1)
group lasso
(1)
model interpretability
(1)
sparse regression
(1)
lasso regression
(1)
reconstruction error
(1)
elastic net
(1)
solution path
(1)
neural network regularization
(1)
generalization bound
(1)
domain alignment
(1)
rigid transformation
(1)
non-negative matrix factorization
(1)
partial optimal transport
(1)
path lasso
(1)
Papers
Theoretical Performance Guarantees for Partial Domain Adaptation via Partial Optimal Transport
ICML 2025
SE(3)-bi-equivariant Transformers for Point Cloud Assembly
NeurIPS 2024
Elastic Gradient Descent, an Iterative Optimization Method Approximating the Solution Paths of the Elastic Net
JMLR 2023
On the Interpretability of Regularisation for Neural Networks Through Model Gradient Similarity
NeurIPS 2022
Non-linear, Sparse Dimensionality Reduction via Path Lasso Penalized Autoencoders
JMLR 2021