Guillermo Ortiz-Jiménez

Guillermo Ortiz-Jiménez

École Polytechnique Fédérale de Lausanne

H-index: 11

Europe-Switzerland

About Guillermo Ortiz-Jiménez

Guillermo Ortiz-Jiménez, With an exceptional h-index of 11 and a recent h-index of 11 (since 2020), a distinguished researcher at École Polytechnique Fédérale de Lausanne, specializes in the field of Deep Learning, Trustworthy AI.

His recent articles reflect a diverse array of research interests and contributions to the field:

When does Privileged Information Explain Away Label Noise?

The inductive bias of deep learning: Connecting weights and functions

Pi-DUAL: Using Privileged Information to Distinguish Clean from Noisy Labels

Task Arithmetic in the Tangent Space: Improved Editing of Pre-Trained Models

Catastrophic overfitting can be induced with discriminative non-robust features

On the benefits of knowledge distillation for adversarial robustness

A neural anisotropic view of underspecification in deep learning

PRIME: A Few Primitives Can Boost Robustness to Common Corruptions

Guillermo Ortiz-Jiménez Information

University

Position

PhD student

Citations(all)

341

Citations(since 2020)

337

Cited By

69

hIndex(all)

11

hIndex(since 2020)

11

i10Index(all)

12

i10Index(since 2020)

12

Email

University Profile Page

École Polytechnique Fédérale de Lausanne

Google Scholar

View Google Scholar Profile

Guillermo Ortiz-Jiménez Skills & Research Interests

Deep Learning

Trustworthy AI

Top articles of Guillermo Ortiz-Jiménez

Title

Journal

Author(s)

Publication Date

When does Privileged Information Explain Away Label Noise?

Guillermo Ortiz-Jimenez*

Mark Collier*

Anant Nawalgaria

Alexander D'Amour

Jesse Berent

...

2023/3/3

The inductive bias of deep learning: Connecting weights and functions

Guillermo Ortiz-Jimenez

2023/12/5

Pi-DUAL: Using Privileged Information to Distinguish Clean from Noisy Labels

arXiv preprint arXiv:2310.06600

Ke Wang

Guillermo Ortiz-Jimenez

Rodolphe Jenatton

Mark Collier

Efi Kokiopoulou

...

2023/10/10

Task Arithmetic in the Tangent Space: Improved Editing of Pre-Trained Models

Guillermo Ortiz-Jimenez*

Alessandro Favero*

Pascal Frossard

2023/5/22

Catastrophic overfitting can be induced with discriminative non-robust features

Transactions on Machine Learning Research

Guillermo Ortiz-Jimenez

Pau de Jorge

Amartya Sanyal

Adel Bibi

Puneet K Dokania

...

2023/5/12

On the benefits of knowledge distillation for adversarial robustness

arXiv preprint arXiv:2203.07159

Javier Maroto

Guillermo Ortiz-Jiménez

Pascal Frossard

2022/3/14

A neural anisotropic view of underspecification in deep learning

Guillermo Ortiz-Jimenez

Itamar Franco Salazar-Reque

Apostolos Modas

Seyed-Mohsen Moosavi-Dezfooli

Pascal Frossard

2021/4/29

PRIME: A Few Primitives Can Boost Robustness to Common Corruptions

European Conference on Computer Vision (ECCV)

Apostolos Modas*

Rahul Rade*

Guillermo Ortiz-Jiménez

Seyed-Mohsen Moosavi-Dezfooli

Pascal Frossard

2021/12/27

A Structured Dictionary Perspective on Implicit Neural Representations

Gizem Yüce*

Guillermo Ortiz-Jiménez*

Beril Besbinar

Pascal Frossard

2021/12/3

What can linearized neural networks actually say about generalization?

Guillermo Ortiz-Jiménez

Seyed-Mohsen Moosavi-Dezfooli

Pascal Frossard

2021/6/12

On the choice of graph neural network architectures

Clément Vignac

Guillermo Ortiz-Jiménez

Pascal Frossard

2020/5/4

Hold me tight! Influence of discriminative features on deep network boundaries

Guillermo Ortiz-Jimenez*

Apostolos Modas*

Seyed-Mohsen Moosavi-Dezfooli

Pascal Frossard

2020/2/15

Optimism in the face of adversity: Understanding and improving deep learning through adversarial robustness

Proceedings of the IEEE 109 (5)

Guillermo Ortiz-Jiménez

Apostolos Modas

Seyed-Mohsen Moosavi-Dezfooli

Pascal Frossard

2020/10/19

Redundant features can hurt robustness to distribution shift

Guillermo Ortiz-Jiménez*

Apostolos Modas*

Seyed-Mohsen Moosavi-Dezfooli

Pascal Frossard

2020/7/17

Neural Anisotropy Directions

Guillermo Ortiz-Jimenez*

Apostolos Modas*

Seyed-Mohsen Moosavi-Dezfooli

Pascal Frossard

2020/6/17

Forward-backward splitting for optimal transport based problems

Guillermo Ortiz-Jiménez

Mireille El Gheche

Effrosyni Simou

Hermina Petric Maretić

Pascal Frossard

2020/5/4

See List of Professors in Guillermo Ortiz-Jiménez University(École Polytechnique Fédérale de Lausanne)

Co-Authors

H-index: 71
Geert Leus

Geert Leus

Technische Universiteit Delft

H-index: 66
Pascal Frossard

Pascal Frossard

École Polytechnique Fédérale de Lausanne

H-index: 35
j. grajal de la fuente

j. grajal de la fuente

Universidad Politécnica de Madrid

H-index: 10
Luis Úbeda-Medina

Luis Úbeda-Medina

Universidad Politécnica de Madrid

H-index: 9
Apostolos Modas

Apostolos Modas

École Polytechnique Fédérale de Lausanne

H-index: 8
Hermina Petric Maretic

Hermina Petric Maretic

École Polytechnique Fédérale de Lausanne

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