Guillermo Ortiz-Jimenez
11 papers · 2020–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Academic Marathon (5) π Cross-Pollinator (10) πΊοΈ Taxonomy Completionist (12) π Interdisciplinary Bridge
π§
Keyword Pioneer
π
Conference Polyglot
(6)
π
Century Club
(11)
π₯
Unstoppable
(6)
β
The Questioner
(2)
Conferences
NIPS (4)
ICML (3)
AISTATS (1)
CVPR (1)
ECCV (1)
ICLR (1)
Top co-authors
Keywords
neural tangent kernel
(3)
feature learning
(2)
image classification
(2)
convolutional neural network
(2)
model editing
(1)
kernel approximation
(1)
label noise
(1)
privileged information
(1)
linear approximation
(1)
implicit neural representation
(1)
inductive bia
(1)
implicit bia
(1)
decision boundary
(1)
vision-language model
(1)
clean sample selection
(1)
training datum
(1)
noisy datum
(1)
generalization theory
(1)
harmonic analysis
(1)
task arithmetic
(1)
Papers
LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model Merging
ICLR 2025
On the Difficulty of Constructing a Robust and Publicly-Detectable Watermark
AISTATS 2025
Pi-DUAL: Using privileged information to distinguish clean from noisy labels
ICML 2024
Localizing Task Information for Improved Model Merging and Compression
ICML 2024
Task Arithmetic in the Tangent Space: Improved Editing of Pre-Trained Models
NIPS 2023
When does Privileged information Explain Away Label Noise?
ICML 2023
A Structured Dictionary Perspective on Implicit Neural Representations
CVPR 2022
PRIME: A Few Primitives Can Boost Robustness to Common Corruptions
ECCV 2022
What can linearized neural networks actually say about generalization?
NIPS 2021
Hold me tight! Influence of discriminative features on deep network boundaries
NIPS 2020
Neural Anisotropy Directions
NIPS 2020