The Latin American Giant Observatory: a successful collaboration in Latin America based on Cosmic Rays and computer science domains

30 May 2016

L. A. Torres-Niño

Papers citing "The Latin American Giant Observatory: a successful collaboration in Latin America based on Cosmic Rays and computer science domains"

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Title
What's Wrong with Your Synthetic Tabular Data? Using Explainable AI to Evaluate Generative Models Jan Kapar Niklas Koenen Martin Jullum 64 0 0 29 Apr 2025
On Symmetries in Convolutional Weights B. Alsallakh Timothy Wroge Vivek Miglani Narine Kokhlikyan 38 0 0 24 Mar 2025
Untrained Perceptual Loss for image denoising of line-like structures in MR images Elisabeth Pfaehler Daniel Pflugfelder Hanno Scharr 29 0 0 08 Nov 2024
Restyling Unsupervised Concept Based Interpretable Networks with Generative Models Jayneel Parekh Quentin Bouniot Pavlo Mozharovskyi A. Newson Florence dÁlché-Buc SSL 61 1 0 01 Jul 2024
Flow AM: Generating Point Cloud Global Explanations by Latent Alignment Hanxiao Tan 37 1 0 29 Apr 2024
Labeling Neural Representations with Inverse Recognition Kirill Bykov Laura Kopf Shinichi Nakajima Marius Kloft Marina M.-C. Höhne BDL 19 15 0 22 Nov 2023
Explaining Deep Face Algorithms through Visualization: A Survey Thrupthi Ann S. M. I. C. V. Balasubramanian M. Jawahar CVBM 32 1 0 26 Sep 2023
Interpretation on Multi-modal Visual Fusion Hao Chen Hao Zhou Yongjian Deng 28 0 0 19 Aug 2023
Feature Matching Data Synthesis for Non-IID Federated Learning Zijian Li Yuchang Sun Jiawei Shao Yuyi Mao Jessie Hui Wang Jun Zhang 26 19 0 09 Aug 2023
Understanding Activation Patterns in Artificial Neural Networks by Exploring Stochastic Processes S. Lehmler Muhammad Saif-ur-Rehman Tobias Glasmachers Ioannis Iossifidis 19 0 0 01 Aug 2023
LUCID-GAN: Conditional Generative Models to Locate Unfairness Andres Algaba Carmen Mazijn Carina E. A. Prunkl J. Danckaert Vincent Ginis SyDa 36 1 0 28 Jul 2023
Deconstructing Data Reconstruction: Multiclass, Weight Decay and General Losses G. Buzaglo Niv Haim Gilad Yehudai Gal Vardi Yakir Oz Yaniv Nikankin Michal Irani 26 10 0 04 Jul 2023
Human-Centric Multimodal Machine Learning: Recent Advances and Testbed on AI-based Recruitment Alejandro Peña Ignacio Serna Aythami Morales Julian Fierrez Alfonso Ortega Ainhoa Herrarte Manuel Alcántara J. Ortega-Garcia FaML 23 34 0 13 Feb 2023
Traditional Classification Neural Networks are Good Generators: They are Competitive with DDPMs and GANs Guangrun Wang Philip H. S. Torr 28 8 0 27 Nov 2022
Explainable Artificial Intelligence: Precepts, Methods, and Opportunities for Research in Construction Peter E. D. Love Weili Fang J. Matthews Stuart Porter Hanbin Luo L. Ding XAI 29 7 0 12 Nov 2022
Are Attribute Inference Attacks Just Imputation? Bargav Jayaraman David E. Evans TDI MIACV 23 46 0 02 Sep 2022
Cycle Encoding of a StyleGAN Encoder for Improved Reconstruction and Editability Xudong Mao Liujuan Cao Aurele Tohokantche Gnanha Zhenguo Yang Qing Li Rongrong Ji 56 8 0 19 Jul 2022
Explaining Image Enhancement Black-Box Methods through a Path Planning Based Algorithm Marco Cotogni C. Cusano 25 2 0 14 Jul 2022
Towards Highly Expressive Machine Learning Models of Non-Melanoma Skin Cancer S. Thomas J. Lefevre Glenn W. Baxter N. Hamilton MedIm 21 2 0 09 Jul 2022
Reconstructing Training Data from Trained Neural Networks Niv Haim Gal Vardi Gilad Yehudai Ohad Shamir Michal Irani 40 132 0 15 Jun 2022
From Attribution Maps to Human-Understandable Explanations through Concept Relevance Propagation Reduan Achtibat Maximilian Dreyer Ilona Eisenbraun S. Bosse Thomas Wiegand Wojciech Samek Sebastian Lapuschkin FAtt 25 131 0 07 Jun 2022
Explain to Not Forget: Defending Against Catastrophic Forgetting with XAI Sami Ede Serop Baghdadlian Leander Weber A. Nguyen Dario Zanca Wojciech Samek Sebastian Lapuschkin CLL 27 6 0 04 May 2022
High-performance Evolutionary Algorithms for Online Neuron Control Binxu Wang Carlos R. Ponce 32 6 0 14 Apr 2022
Visualizing Global Explanations of Point Cloud DNNs Hanxiao Tan 3DPC 37 7 0 17 Mar 2022
Towards Disentangling Information Paths with Coded ResNeXt Apostolos Avranas Marios Kountouris FAtt 17 1 0 10 Feb 2022
Toward Explainable AI for Regression Models S. Letzgus Patrick Wagner Jonas Lederer Wojciech Samek Klaus-Robert Muller G. Montavon XAI 28 63 0 21 Dec 2021
High Fidelity Visualization of What Your Self-Supervised Representation Knows About Florian Bordes Randall Balestriero Pascal Vincent DiffM 22 61 0 16 Dec 2021
Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes Jonathan Donnelly A. Barnett Chaofan Chen 3DH 25 127 0 29 Nov 2021
Controllable and Compositional Generation with Latent-Space Energy-Based Models Weili Nie Arash Vahdat Anima Anandkumar 17 78 0 21 Oct 2021
Interpretability in Safety-Critical FinancialTrading Systems Gabriel Deza Adelin Travers C. Rowat Nicolas Papernot AAML AIFin 10 1 0 24 Sep 2021
IFBiD: Inference-Free Bias Detection Ignacio Serna Daniel DeAlcala Aythami Morales Julian Fierrez J. Ortega-Garcia CVBM 31 11 0 09 Sep 2021
PACE: Posthoc Architecture-Agnostic Concept Extractor for Explaining CNNs V. Kamakshi Uday Gupta N. C. Krishnan 13 18 0 31 Aug 2021
Interpreting Face Inference Models using Hierarchical Network Dissection Divyang Teotia Àgata Lapedriza Sarah Ostadabbas CVBM 24 3 0 23 Aug 2021
Explaining Bayesian Neural Networks Kirill Bykov Marina M.-C. Höhne Adelaida Creosteanu Klaus-Robert Muller Frederick Klauschen Shinichi Nakajima Marius Kloft BDL AAML 28 25 0 23 Aug 2021
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Ajmal Saeed Mian Navid Kardan M. Shah AAML 26 235 0 01 Aug 2021
What do End-to-End Speech Models Learn about Speaker, Language and Channel Information? A Layer-wise and Neuron-level Analysis Shammur A. Chowdhury Nadir Durrani Ahmed M. Ali 25 12 0 01 Jul 2021
CLIPDraw: Exploring Text-to-Drawing Synthesis through Language-Image Encoders Kevin Frans Lisa Soros Olaf Witkowski CLIP 19 203 0 28 Jun 2021
Inverting and Understanding Object Detectors Ang Cao Justin Johnson ObjD 10 3 0 26 Jun 2021
How Well do Feature Visualizations Support Causal Understanding of CNN Activations? Roland S. Zimmermann Judy Borowski Robert Geirhos Matthias Bethge Thomas S. A. Wallis Wieland Brendel FAtt 39 31 0 23 Jun 2021
NeuroGen: activation optimized image synthesis for discovery neuroscience Zijin Gu K. Jamison Meenakshi Khosla Emily J. Allen Yihan Wu Thomas Naselaris Kendrick Norris Kay M. Sabuncu Amy Kuceyeski DiffM MedIm 6 26 0 15 May 2021
Leveraging Sparse Linear Layers for Debuggable Deep Networks Eric Wong Shibani Santurkar A. Madry FAtt 20 88 0 11 May 2021
MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data Domains Yaxing Wang Abel Gonzalez-Garcia Chenshen Wu Luis Herranz F. Khan Shangling Jui Joost van de Weijer 19 6 0 28 Apr 2021
See through Gradients: Image Batch Recovery via GradInversion Hongxu Yin Arun Mallya Arash Vahdat J. Álvarez Jan Kautz Pavlo Molchanov FedML 25 459 0 15 Apr 2021
An Interpretability Illusion for BERT Tolga Bolukbasi Adam Pearce Ann Yuan Andy Coenen Emily Reif Fernanda Viégas Martin Wattenberg MILM FAtt 26 68 0 14 Apr 2021
Explainability of deep vision-based autonomous driving systems: Review and challenges Éloi Zablocki H. Ben-younes P. Pérez Matthieu Cord XAI 37 169 0 13 Jan 2021
Neural Prototype Trees for Interpretable Fine-grained Image Recognition Meike Nauta Ron van Bree C. Seifert 68 261 0 03 Dec 2020
Why model why? Assessing the strengths and limitations of LIME Jurgen Dieber S. Kirrane FAtt 12 97 0 30 Nov 2020
Reflective-Net: Learning from Explanations Johannes Schneider Michalis Vlachos FAtt OffRL LRM 52 18 0 27 Nov 2020
DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs Yaxing Wang Lu Yu J. Weijer VLM 27 16 0 11 Nov 2020
Quantifying Learnability and Describability of Visual Concepts Emerging in Representation Learning Iro Laina Ruth C. Fong Andrea Vedaldi OCL 20 13 0 27 Oct 2020