Aurélie Lozano
14 papers · 2011–2025 · 7 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (14) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (7) 🐝 Cross-Pollinator (12)
🌍
Conference Polyglot
(7)
🏃
Academic Marathon
(14)
🐝
Cross-Pollinator
(12)
🏆
Grand Slam
💎
Century Club
(14)
🗃️
Keyword Collector
(65)
Conferences
ICML (5)
AISTATS (4)
AAAI (1)
ACL (1)
ICLR (1)
IJCAI (1)
NIPS (1)
Top co-authors
Keywords
model compression
(1)
neural network pruning
(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)
covariance estimation
(1)
deep learning
(1)
group sparsity
(1)
group lasso
(1)
high-dimensional statistics
(1)
granger causality
(1)
dictionary learning
(1)
Papers
Aligning Protein Conformation Ensemble Generation with Physical Feedback
ICML 2025
Learning Granger Causality from Instance-wise Self-attentive Hawkes Processes
AISTATS 2024
NeuroPrune: A Neuro-inspired Topological Sparse Training Algorithm for Large Language Models
ACL 2024
Larimar: Large Language Models with Episodic Memory Control
ICML 2024
Multi-Scale Representation Learning for Protein Fitness Prediction
NIPS 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 $\ell_1$ 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 Sparse Covariance Matrices and other Structured Moments
ICML 2014
Elementary Estimators for High-Dimensional Linear Regression
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