Publications

This is our catalog of recent publications authored by IBM researchers, in collaboration with the global research community. We’re currently adding our back catalog of more than 110,000 publications. 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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21 results for Aurelie Lozano

Adaptive Proximal Gradient Methods for Structured Neural Networks
- - Jihun Yun
  - Aurelie Lozano
  - et al.
- 2021
- NeurIPS 2021
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
Neurogenesis-inspired dictionary learning: Online model adaption in a changing world
- - Sahil Garg
  - Irina Rish
  - et al.
- 2017
- IJCAI 2017
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
Protein Representation Learning by Geometric Structure Pretraining
- - Zuobai Zhang
  - Minghao Xu
  - et al.
- 2022
- ICML 2022
Benchmarking deep generative models for diverse antibody sequence design
- - Igor Melnyk
  - Payel Das
  - et al.
- 2021
- NeurIPS 2021