Hannah Lawrence
9 papers · 2020–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (22) 🐣 Hot Topic Early Bird
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Trend Setter
Venues
Top co-authors
Research topics
Deep Learning
(7)
Machine Learning
(7)
Optimization & Theory · Machine Learning
(5)
Architectures
(3)
Learning Types · Deep Learning
(3)
Mathematics & Optimization
(2)
Core Methods
(2)
Learning Types · Machine Learning
(2)
Models
(2)
Optimization & Theory · Deep Learning
(2)
Artificial Intelligence
(1)
Computer Vision
(1)
Application Areas
(1)
Core AI · Computer Vision
(1)
Core AI · Artificial Intelligence
(1)
Keywords
neural network
(2)
graph neural network
(2)
diffusion model
(2)
representation learning
(2)
model architecture
(1)
fourier analysis
(1)
metric learning
(1)
online convex optimization
(1)
data augmentation
(1)
matrix norms
(1)
polynomial optimization
(1)
matrix regularization
(1)
minimax regret
(1)
generative model
(1)
convolutional neural network
(1)
gradient descent
(1)
linear classifier
(1)
convolutional network
(1)
partial differential equation
(1)
neural network optimization
(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, R)-Equivariance
ICLR 2024
On the hardness of learning under symmetries
ICLR 2024
Distilling Model Failures as Directions in Latent Space
ICLR 2023
Self-Supervised Learning with Lie Symmetries for Partial Differential Equations
NeurIPS 2023
GULP: a prediction-based metric between representations
NeurIPS 2022
Implicit Bias of Linear Equivariant Networks
ICML 2022
Minimax Regret of Switching-Constrained Online Convex Optimization: No Phase Transition
NeurIPS 2020