Hannah Lawrence
9 papers · 2020–2025 · 3 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (3) π Academic Marathon (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (15) π§ Keyword Pioneer
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Cross-Pollinator
(15)
Conferences
ICLR (4)
NIPS (3)
ICML (2)
Top co-authors
Keywords
representation learning
(2)
metric learning
(1)
self-supervised learning
(1)
fourier analysis
(1)
gradient descent
(1)
online convex optimization
(1)
matrix norms
(1)
matrix regularization
(1)
minimax regret
(1)
convolutional neural network
(1)
partial differential equation
(1)
implicit bia
(1)
neural solver
(1)
linear network
(1)
group equivariance
(1)
joint embedding
(1)
prediction task
(1)
schatten norm
(1)
neural network
(1)
distance measure
(1)
Papers
Improving Equivariant Networks with Probabilistic Symmetry Breaking
ICLR 2025
Equivariant Frames and the Impossibility of Continuous Canonicalization
ICML 2024
Learning Polynomial Problems with $SL(2, \mathbb{R})$-Equivariance
ICLR 2024
On the hardness of learning under symmetries
ICLR 2024
Self-Supervised Learning with Lie Symmetries for Partial Differential Equations
NIPS 2023
Distilling Model Failures as Directions in Latent Space
ICLR 2023
Implicit Bias of Linear Equivariant Networks
ICML 2022
GULP: a prediction-based metric between representations
NIPS 2022
Minimax Regret of Switching-Constrained Online Convex Optimization: No Phase Transition
NIPS 2020