Ortiz-Jimenez, Guillermo

1. Localizing Task Information for Improved Model Merging and Compression
   2024/05/13 by Ke Wang, Wang, Ke, Nikolaos Dimitriadis +7 · 22 citations
   Computer Science · #Neural Networks and Applications #Advanced Data Compression Techniques #Parallel Computing and Optimization Techniques
2. Imagen 3
   2024/08/13 by Imagen-Team-Google, Jason Baldridge, : +526 · 1 voice · 4 citations
   Computer Science · Medicine · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Radiomics and Machine Learning in Medical Imaging #cs.CV
3. UnUnlearning: Unlearning is not sufficient for content regulation in advanced generative AI
   2024/06/27 by Ilia Shumailov, Jamie Hayes, Shumailov, Ilia +15 · 7 citations
   Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Cryptography and Security (cs.CR) #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Topic Modeling
4. SynthID-Image: Image watermarking at internet scale
   2025/10/10 by Sven Gowal, Gowal, Sven, Rudy Bunel +53 · 3 voices · 3 citations
   Computer Science · #Advanced Steganography and Watermarking Techniques #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #Digital Media Forensic Detection #FOS: Computer and information sciences #cs.AI #cs.CR
5. LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model Merging
   2024/10/22 by Wang, Ke, Dimitriadis, Nikolaos, Favero, Alessandro +3 · 6 citations
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
6. Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness
   2020/10/19 by Ortiz-Jimenez, Guillermo, Modas, Apostolos, Moosavi-Dezfooli, Seyed-Mohsen +1 · 2 citations
   #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
7. When does Privileged Information Explain Away Label Noise?
   2023/03/03 by Guillermo Ortiz-Jiménez, Ortiz-Jimenez, Guillermo, Mark Collier +11 · 2 citations
   Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Industrial Vision Systems and Defect Detection #Machine Learning (cs.LG) #Machine Learning and Data Classification
8. Forward-Backward Splitting for Optimal Transport based Problems
   2019/09/20 by Ortiz-Jimenez, Guillermo, Gheche, Mireille El, Simou, Effrosyni +2 · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
9. On the Difficulty of Constructing a Robust and Publicly-Detectable Watermark
   2025/02/07 by Jaiden Fairoze, Guillermo Ortiz-Jimenez, Guillermo Ortiz-Jiménez +9 · 1 voice · 4 citations
   Computer Science · #Advanced Steganography and Watermarking Techniques #Chaos-based Image/Signal Encryption #Cryptography and Data Security #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.CR #cs.LG
10. A neural anisotropic view of underspecification in deep learning
    2021/04/29 by Guillermo Ortiz-Jiménez, Ortiz-Jimenez, Guillermo, Itamar Salazar-Reque +7 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #Machine Learning and Data Classification #Domain Adaptation and Few-Shot Learning
11. Neural Anisotropy Directions
    2020/06/17 by Guillermo Ortiz-Jiménez, Apostolos Modas, Ortiz-Jimenez, Guillermo +5 · 1 citation
    Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)