Pascal Frossard
- Universal adversarial perturbations
2016/10/26 by Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Moosavi-Dezfooli, Seyed-Mohsen +5 · 4 voices · 69 citations
Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Domain Adaptation and Few-Shot Learning
- Graph Signal Processing: Overview, Challenges and Applications
2017/12/01 by Antonio Ortega, Ortega, Antonio, Pascal Frossard +7 · 1 voice · 66 citations
Computer Science · Biochemistry, Genetics and Molecular Biology · #Advanced Graph Neural Networks #Bioinformatics and Genomic Networks #Graph Theory and Algorithms
- The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains
2013/04/05 by David I Shuman, D. I. Shuman, S. K. Narang +7 · 182 citations
Physics and Astronomy · Computer Science · Biochemistry, Genetics and Molecular Biology · #Complex Network Analysis Techniques #Advanced Graph Neural Networks #Bioinformatics and Genomic Networks
- DeepFool: a simple and accurate method to fool deep neural networks
2015/11/14 by Seyed-Mohsen Moosavi-Dezfooli, Moosavi-Dezfooli, Seyed-Mohsen, Alhussein Fawzi +3 · 76 citations
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Learning Graphs From Data: A Signal Representation Perspective
2019/04/27 by Xiaowen Dong, Dorina Thanou, Michael Rabbat +1 · 19 citations
Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #Bayesian Modeling and Causal Inference
- Localizing Task Information for Improved Model Merging and Compression
2024/05/13 by Ke Wang, Nikolaos Dimitriadis, Wang, Ke +7 · 22 citations
Computer Science · #Neural Networks and Applications #Advanced Data Compression Techniques #Parallel Computing and Optimization Techniques
- A Structured Dictionary Perspective on Implicit Neural Representations
2021/12/03 by Gizem Yüce, Yüce, Gizem, Guillermo Ortiz-Jiménez +5 · 11 citations
Computer Science · Engineering · #Neural Networks and Applications #Ultrasonics and Acoustic Wave Propagation #Neural Networks and Reservoir Computing
- Equivariant 3D-Conditional Diffusion Models for Molecular Linker Design
2022/10/11 by Ilia Igashov, Igashov, Ilia, H. Stärk +13 · 13 citations
Biochemistry, Genetics and Molecular Biology · #Protein Structure and Dynamics #RNA Research and Splicing #Genomics and Chromatin Dynamics
- Adaptive Quantization for Deep Neural Network
2017/12/04 by Yiren Zhou, Zhou, Yiren, Seyed-Mohsen Moosavi-Dezfooli +5 · 5 citations
Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
- GOT: An Optimal Transport framework for Graph comparison
2019/06/05 by Hermina Petric Maretić, Maretic, Hermina Petric, Mireille El Gheche +5 · 5 citations
Computer Science · Neuroscience · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #FOS: Computer and information sciences #Functional Brain Connectivity Studies #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Social and Information Networks (cs.SI)
- DeFoG: Discrete Flow Matching for Graph Generation
2024/10/05 by Yiming Qin, Manuel Madeira, Qin, Yiming +5 · 10 citations
Computer Science · #Artificial Intelligence in Games #Data Management and Algorithms #Data Mining Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Robustness of classifiers: from adversarial to random noise
2016/08/31 by Alhussein Fawzi, Fawzi, Alhussein, Seyed-Mohsen Moosavi-Dezfooli +3 · 2 citations
Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
- Sparse Training of Discrete Diffusion Models for Graph Generation
2023/11/03 by Yiming Qin, Clément Vignac, Qin, Yiming +3 · 4 citations
Computer Science · Social Sciences · #Advanced Graph Neural Networks #Recommender Systems and Techniques #Human Mobility and Location-Based Analysis
- TransFool: An Adversarial Attack against Neural Machine Translation Models
2023/02/02 by Sahar Sadrizadeh, Sadrizadeh, Sahar, Ljiljana Dolamic +3 · 3 citations
Computer Science · Materials Science · #Adversarial Robustness in Machine Learning #Topic Modeling #Nuclear Materials and Properties
- On the benefits of knowledge distillation for adversarial robustness
2022/03/14 by Javier Maroto, Maroto, Javier, Guillermo Ortiz-Jiménez +3 · 2 citations
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Robustness of classifiers to universal perturbations: a geometric\n perspective
2017/05/26 by Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Moosavi-Dezfooli, Seyed-Mohsen +7 · 3 citations
Computer Science · Engineering · Medicine · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Topological and Geometric Data Analysis #Traumatic Brain Injury and Neurovascular Disturbances
- SSDA3D: Semi-supervised Domain Adaptation for 3D Object Detection from Point Cloud
2022/12/06 by Yan Wang, Junbo Yin, Wang, Yan +9 · 2 citations
Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Human Pose and Action Recognition
- Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models
2022/10/18 by Nikolaos Dimitriadis, Pascal Frossard, Dimitriadis, Nikolaos +3 · 2 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Medical Image Segmentation Techniques
- iPool -- Information-based Pooling in Hierarchical Graph Neural Networks
2019/07/01 by Xing Gao, Gao, Xing, Hongkai Xiong +3 · 1 citation
Computer Science · Physics and Astronomy · Neuroscience · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #Functional Brain Connectivity Studies
- Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein
2024/02/03 by Hugues Van Assel, Van Assel, Hugues, Cédric Vincent-Cuaz +9 · 2 citations
Computer Science · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- A neural anisotropic view of underspecification in deep learning
2021/04/29 by Guillermo Ortiz-Jiménez, Itamar Salazar-Reque, Ortiz-Jimenez, Guillermo +7 · 1 citation
Computer Science · #Adversarial Robustness in Machine Learning #Machine Learning and Data Classification #Domain Adaptation and Few-Shot Learning
- FGOT: Graph Distances based on Filters and Optimal Transport
2021/09/09 by Hermina Petric Maretić, Mireille El Gheche, Maretic, Hermina Petric +5 · 1 citation
Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Bayesian Modeling and Causal Inference #Complex Network Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Sequential Representation Learning via Static-Dynamic Conditional Disentanglement
2024/08/10 by Mathieu Simon, Simon, Mathieu Cyrille, Pascal Frossard +3 · 2 citations
Computer Science · #Digital Media Forensic Detection #Adversarial Robustness in Machine Learning #Chaos-based Image/Signal Encryption
- Neural Anisotropy Directions
2020/06/17 by Guillermo Ortiz-Jiménez, Ortiz-Jimenez, Guillermo, Apostolos Modas +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)
- How Compositional Generalization and Creativity Improve as Diffusion Models are Trained
2025/02/17 by Alessandro Favero, Favero, Alessandro, Antonio Sclocchi +7 · 2 citations
Psychology · #Creativity in Education and Neuroscience #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Pareto Low-Rank Adapters: Efficient Multi-Task Learning with Preferences
2024/07/10 by Nikolaos Dimitriadis, Dimitriadis, Nikolaos, Pascal Frossard +3 · 1 citation
Computer Science · #Data Stream Mining Techniques #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
- MEMOIR: Lifelong Model Editing with Minimal Overwrite and Informed Retention for LLMs
2025/06/09 by Ke Wang, Yiming Qin, Wang, Ke +7 · 2 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
- DBMol: Design of High-Affinity, Target-Specific Small Molecules through Structure Prediction Models
2026/07/21 by Yiming Qin, Kai Yi, Miruna Cretu +3
#cs.LG