Aurélie Lozano
14 papers · 2011–2025 · 7 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (32) 🌍 Conference Polyglot · Silver
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Grand Slam
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Keyword Collector
(82)
💎
Century Club · Bronze
Top co-authors
Research topics
Machine Learning
(13)
Core Methods
(10)
Optimization & Theory · Machine Learning
(7)
Deep Learning
(5)
Learning Types
(4)
Artificial Intelligence
(3)
Mathematics & Optimization
(3)
Architectures
(3)
Core AI
(3)
Optimization
(3)
Natural Language Processing
(2)
Mathematics
(2)
Optimization & Theory · Deep Learning
(2)
Resources & Methods
(2)
Knowledge & Reasoning
(1)
Keywords
large language model
(2)
neural network pruning
(1)
covariance estimation
(1)
stochastic gradient descent
(1)
link prediction
(1)
variable selection
(1)
online learning
(1)
non-convex optimization
(1)
convex optimization
(1)
sparse coding
(1)
logistic regression
(1)
causal discovery
(1)
ridge regression
(1)
model adaptation
(1)
contrastive learning
(1)
deep learning
(1)
protein representation
(1)
group sparsity
(1)
group lasso
(1)
model compression
(1)
Papers
Aligning Protein Conformation Ensemble Generation with Physical Feedback
ICML 2025
Larimar: Large Language Models with Episodic Memory Control
ICML 2024
Learning Granger Causality from Instance-wise Self-attentive Hawkes Processes
AISTATS 2024
Multi-Scale Representation Learning for Protein Fitness Prediction
NeurIPS 2024
NeuroPrune: A Neuro-inspired Topological Sparse Training Algorithm for Large Language Models
ACL 2024
Protein Representation Learning by Geometric Structure Pretraining
ICLR 2023
AdaBlock: SGD with Practical Block Diagonal Matrix Adaptation for Deep Learning
AISTATS 2022
Directed Graph Auto-Encoders
AAAI 2022
Trimming the ℓ_1 Regularizer: Statistical Analysis, Optimization, and Applications to Deep Learning
ICML 2019
Neurogenesis-Inspired Dictionary Learning: Online Model Adaption in a Changing World
IJCAI 2017
Elementary Estimators for High-Dimensional Linear Regression
ICML 2014
Elementary Estimators for Sparse Covariance Matrices and other Structured Moments
ICML 2014
A Parallel, Block Greedy Method for Sparse Inverse Covariance Estimation for Ultra-high Dimensions
AISTATS 2013
Group Orthogonal Matching Pursuit for Logistic Regression
AISTATS 2011