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Aurelie C. Lozano

Observed names: A. C. Lozano, A.C. Lozano, AURÉLIE LOZANO, Aurelie Lozano, Aurélie C. Lozano, Aurélie C. Lozano, Aurélie Lozano, Lozano, Aurelie, Lozano, Aurelie C., Lozano, Aurélie C., Lozano, Aurélie, Lozano, Aurélie C.
Institution: IBM (United States)
Observed institutions: IBM (United States), Korea Advanced Institute of Science and Technology, Tel Aviv University, Princeton University, University of California San Diego, IBM Research - Thomas J. Watson Research Center, École Polytechnique Fédérale de Lausanne
OpenAlex ID: A5055054658
Protein Representation Learning by Geometric Structure Pretraining
2022 · Zhang, Zuobai, Xu, Minghao, et al. · arXiv (Cornell University) · 225
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Grouped graphical Granger modeling for gene expression regulatory networks discovery
2009 · Aurélie C. Lozano, Naoki Abe, et al. · Bioinformatics · 156
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Stratification of TAD boundaries reveals preferential insulation of super-enhancers by strong boundaries
2018 · Yixiao Gong, Charalampos Lazaris, et al. · Nature Communications · 143
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Generalized Kalman smoothing: Modeling and algorithms
2017 · Aleksandr Aravkin, James V. Burke, et al. · Automatica · 117
Spatial-temporal causal modeling for climate change attribution
2009 · Aurelie C. Lozano, Hongfei Li, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 111
Grouped Orthogonal Matching Pursuit for Variable Selection and Prediction
2009 · Grzegorz Świrszcz, Naoki Abe, et al. · 94
Multi-level Lasso for Sparse Multi-task Regression
2012 · Grzegorz Świrszcz, Aurélie Lozano · International Conference on Machine Learning · 83
Proximity-Based Anomaly Detection using Sparse Structure Learning
2009 · Tsuyoshi Idé, Aurelie C. Lozano, et al. · SIAM International Conference on Data Mining · 75
A Systematic Study of Joint Representation Learning on Protein Sequences and Structures
2023 · Zhang, Zuobai, Wang, Chuanrui, et al. · arXiv (Cornell University) · 71
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Group Orthogonal Matching Pursuit for Logistic Regression
2011 · Aurélie Lozano, Grzegorz Świrszcz, et al. · 48
Grouped graphical Granger modeling methods for temporal causal modeling
2009 · Aurelie C. Lozano, Naoki Abe, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 43
Removing Clouds and Recovering Ground Observations in Satellite Image Sequences via Temporally Contiguous Robust Matrix Completion
2016 · Jialei Wang, Peder A. Olsen, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 41
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Directed Graph Auto-Encoders
2022 · Georgios Kollias, Vasileios Kalantzis, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 39
Learning Temporal Causal Graphs for Relational Time-Series Analysis
2010 · Yan Liu, Alexandru Niculescu-Mizil, et al. · 39
Bayesian Regularization via Graph Laplacian
2014 · Fei Liu, Sounak Chakraborty, et al. · Bayesian Analysis · 37
Multi-class cost-sensitive boosting with p-norm loss functions
2008 · Aurélie C. Lozano, Naoki Abe · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 37
Larimar: Large Language Models with Episodic Memory Control
2024 · Das, Payel, Chaudhury, Subhajit, et al. · arXiv (Cornell University) · 34
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Variable-Selection Emerges on Top in Empirical Comparison of Whole-Genome Complex-Trait Prediction Methods
2015 · David C. Haws, Irina Rish, et al. · PLoS ONE · 34
Minimum Distance Lasso for robust high-dimensional regression
2016 · Aurélie C. Lozano, Nicolai Meinshausen, et al. · Electronic Journal of Statistics · 31
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Convergence and Consistency of Regularized Boosting Algorithms with Stationary B-Mixing Observations
2005 · Aurélie Lozano, Sanjeev R. Kulkarni, et al. · neural information processing systems · 31
A general family of trimmed estimators for robust high-dimensional data analysis
2018 · Eunho Yang, Aurélie C. Lozano, et al. · Electronic Journal of Statistics · 30
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Scalable Matrix-valued Kernel Learning for High-dimensional Nonlinear Multivariate Regression and Granger Causality
2012 · Sindhwani, Vikas, Quang, Minh Ha, et al. · arXiv (Cornell University) · 26
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Structure-Informed Protein Language Model
2024 · Zhang, Zuobai, Lu, Jiarui, et al. · arXiv (Cornell University) · 25
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Elementary Estimators for Graphical Models
2014 · Eunho Yang, Aurélie Lozano, et al. · 25
Pre-Training Protein Encoder via Siamese Sequence-Structure Diffusion Trajectory Prediction
2023 · Zuobai Zhang, Minghao Xu, et al. · neural information processing systems · 24
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Works count: 108
Citation count: 1,977
H-index: 24
I10-index: 39
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