Publications

This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.

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52 results for Aurelie Lozano

Adaptive Proximal Gradient Methods for Structured Neural Networks
- - Jihun Yun
  - Aurelie Lozano
  - et al.
- 2021
- NeurIPS 2021
Larimar: Large Language Models with Episodic Memory Control
- - Payel Das
  - SUBHAJIT CHAUDHURY
  - et al.
- 2024
- ICML 2024
Pre-Training Protein Encoder via Siamese Sequence-Structure Diffusion Trajectory Prediction
- - Zuobai Zhang
  - Minghao Xu
  - et al.
- 2023
- NeurIPS 2023
Directed Graph Auto-Encoders
- - Georgios Kollias
  - Vasileios Kalantzis
  - et al.
- 2022
- AAAI 2022
Trimming the ₁ regularizer: Statistical analysis, optimization, and applications to deep learning
- - Jihun Yun
  - Peng Zheng
  - et al.
- 2019
- ICML 2019
Sparse + Group-sparse dirty models: Statistical guarantees without unreasonable conditions and a case for non-convexity
- - Eunho Yang
  - Aurelie C. Lozano
- 2017
- ICML 2017
Neurogenesis-inspired dictionary learning: Online model adaption in a changing world
- - Sahil Garg
  - Irina Rish
  - et al.
- 2017
- ICLR 2017
Closed-form estimators for high-dimensional generalized linear models
- - Eunho Yang
  - Aurelie C. Lozano
  - et al.
- 2015
- NeurIPS 2015
Robust Gaussian Graphical modeling with the Trimmed Graphical Lasso
- - Eunho Yang
  - Aurelie C. Lozano
- 2015
- NeurIPS 2015
Elementary estimators for graphical models
- - Eunho Yang
  - Aurélie C. Lozano
  - et al.
- 2014
- NeurIPS 2014