Francesco Locatello
- Toward Causal Representation Learning
2021/02/26 by Bernhard Scholkopf, Bernhard Schölkopf, Francesco Locatello +5 · 159 citations
Computer Science · #Bayesian Modeling and Causal Inference #Anomaly Detection Techniques and Applications #AI-based Problem Solving and Planning
- Object-Centric Learning with Slot Attention
2020/06/26 by Francesco Locatello, Locatello, Francesco, Dirk Weissenborn +13 · 80 citations
Computer Science · #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning #Visual Attention and Saliency Detection
- Towards Causal Representation Learning
2021/02/22 by Bernhard Schölkopf, Schölkopf, Bernhard, Francesco Locatello +11 · 2 voices · 11 citations
Computer Science · Decision Sciences · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Data Quality and Management #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.AI #cs.LG
- Self-Supervised Learning with Data Augmentations Provably Isolates\n Content from Style
2021/06/08 by Julius von Kügelgen, Yash Sharma, von Kügelgen, Julius +11 · 28 citations
Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Image Processing Techniques and Applications #Image Processing and 3D Reconstruction #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Relative representations enable zero-shot latent space communication
2022/09/30 by Luca Moschella, Moschella, Luca, Valentino Maiorca +9 · 29 citations
Computer Science · #Face recognition and analysis #Generative Adversarial Networks and Image Synthesis #Video Surveillance and Tracking Methods
- Bridging the Gap to Real-World Object-Centric Learning
2022/09/29 by Maximilian Seitzer, Seitzer, Maximilian, Max Horn +19 · 20 citations
Computer Science · #Advanced Image and Video Retrieval Techniques #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning
- Multi-View Causal Representation Learning with Partial Observability
2023/11/07 by Dingling Yao, Yao, Dingling, Danru Xu +13 · 13 citations
Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Latent Space Translation via Semantic Alignment
2023/11/01 by Valentino Maiorca, Maiorca, Valentino, Luca Moschella +9 · 9 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #Generative Adversarial Networks and Image Synthesis #Topic Modeling
- Navigating the Latent Space Dynamics of Neural Models
2025/05/28 by Marco Fumero, Luca Moschella, Fumero, Marco +5 · 2 voices · 3 citations
Computer Science · #cs.LG
- Generalization and Robustness Implications in Object-Centric Learning
2021/07/01 by Andrea Dittadi, Samuele Papa, Dittadi, Andrea +8 · 6 citations
Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Boosting Black Box Variational Inference
2018/06/06 by Francesco Locatello, Locatello, Francesco, Gideon Dresdner +7 · 4 citations
Computer Science · #Gaussian Processes and Bayesian Inference #Bayesian Methods and Mixture Models #Domain Adaptation and Few-Shot Learning
- Leveraging sparse and shared feature activations for disentangled representation learning
2023/04/17 by Marco Fumero, Florian Wenzel, Fumero, Marco +13 · 5 citations
Computer Science · #Digital Media Forensic Detection #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG)
- Sample Complexity Bounds for Score-Matching: Causal Discovery and Generative Modeling
2023/10/27 by Zhenyu Zhu, Zhu, Zhenyu, Francesco Locatello +3 · 5 citations
Computer Science · #Bayesian Modeling and Causal Inference #Explainable Artificial Intelligence (XAI) #Advanced Graph Neural Networks
- A Sparsity Principle for Partially Observable Causal Representation Learning
2024/03/13 by Danru Xu, Dingling Yao, Xu, Danru +11 · 5 citations
Computer Science · Engineering · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Near, far: Patch-ordering enhances vision foundation models' scene understanding
2024/08/20 by Valentinos Pariza, Pariza, Valentinos, Mohammadreza Salehi +7 · 5 citations
Computer Science · Engineering · #Advanced Image and Video Retrieval Techniques #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Medical Image Segmentation Techniques #Robotics and Sensor-Based Localization
- On Disentangled Representations Learned From Correlated Data
2020/06/14 by Frederik Träuble, Elliot Creager, Träuble, Frederik +13 · 2 citations
Computer Science · #Computability, Logic, AI Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Neural Networks and Applications
- Compositional Multi-Object Reinforcement Learning with Linear Relation Networks
2022/01/31 by Davide Mambelli, Frederik Träuble, Mambelli, Davide +6 · 2 citations
Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Reinforcement Learning in Robotics #Robotics (cs.RO)
- Are Disentangled Representations Helpful for Abstract Visual Reasoning?
2019/05/29 by Sjoerd van Steenkiste, van Steenkiste, Sjoerd, Francesco Locatello +5 · 2 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Data Visualization and Analytics #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #I.2.6 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE) #Software Engineering Research
- Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning
2023/01/12 by Yuejiang Liu, Liu, Yuejiang, Alexandre Alahi +11 · 2 citations
Computer Science · Medicine · #Domain Adaptation and Few-Shot Learning #Explainable Artificial Intelligence (XAI) #Acute Ischemic Stroke Management
- On the Transfer of Disentangled Representations in Realistic Settings
2020/10/27 by Andrea Dittadi, Frederik Träuble, Dittadi, Andrea +13 · 2 citations
Computer Science · #Computability, Logic, AI Algorithms #Machine Learning and Algorithms #Generative Adversarial Networks and Image Synthesis
- Benign Overfitting in Deep Neural Networks under Lazy Training
2023/05/30 by Zhenyu Zhu, Zhu, Zhenyu, Fanghui Liu +7 · 2 citations
Computer Science · #Advanced Neural Network Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Neural Networks and Applications
- Unsupervised Open-Vocabulary Object Localization in Videos
2023/09/18 by Ke Fan, Zechen Bai, Fan, Ke +25 · 2 citations
Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications
- How to Probe: Simple Yet Effective Techniques for Improving Post-hoc Explanations
2025/03/01 by Siddhartha Gairola, Gairola, Siddhartha, Moritz Böhle +5 · 2 voices · 3 citations
Computer Science · Decision Sciences · #Scientific Computing and Data Management #cs.CV
- Identifiable Object-Centric Representation Learning via Probabilistic Slot Attention
2024/06/11 by Avinash Kori, Francesco Locatello, Kori, Avinash +9 · 3 citations
Computer Science · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
- Unsupervised Object Learning via Common Fate
2021/10/13 by Matthias Tangemann, Steffen Schneider, Tangemann, Matthias +15 · 1 citation
Computer Science · #Generative Adversarial Networks and Image Synthesis #Advanced Vision and Imaging #Advanced Image and Video Retrieval Techniques
- Latent Space Translation via Inverse Relative Projection
2024/06/21 by Valentino Maiorca, Maiorca, Valentino, Luca Moschella +7 · 2 citations
Computer Science · #FOS: Computer and information sciences #Handwritten Text Recognition Techniques #Machine Learning (cs.LG) #Natural Language Processing Techniques #Speech Recognition and Synthesis
- You Mostly Walk Alone: Analyzing Feature Attribution in Trajectory Prediction
2021/10/11 by Osama Makansi, Julius von Kügelgen, Makansi, Osama +11 · 1 citation
Computer Science · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Time Series Analysis and Forecasting
- Demystifying amortized causal discovery with transformers
2024/05/27 by Francesco Montagna, Max Cairney-Leeming, Montagna, Francesco +5 · 1 voice · 2 citations
Computer Science · Decision Sciences · Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Scientific Computing and Data Management #cs.LG #stat.ML
- Object-Centric Multiple Object Tracking
2023/09/01 by Zixu Zhao, Zhao, Zixu, Jiaze Wang +29 · 1 citation
Computer Science · #Video Surveillance and Tracking Methods #Advanced Image and Video Retrieval Techniques #Human Pose and Action Recognition
- Latent Functional Maps: a spectral framework for representation alignment
2024/06/20 by Marco Fumero, Marco Pegoraro, Fumero, Marco +7 · 1 voice · 1 citation
Engineering · #3D Modeling in Geospatial Applications #cs.LG
- Prediction-Powered Causal Inferences
2025/02/10 by Riccardo Cadei, Cadei, Riccardo, İlker Demirel +11 · 4 citations
Computer Science · #Explainable Artificial Intelligence (XAI)
- Binding Dynamics in Rotating Features
2024/02/08 by Sindy Löwe, Löwe, Sindy, Francesco Locatello +3 · 1 citation
Engineering · #Control and Dynamics of Mobile Robots
- Mechanistic PDE Networks for Discovery of Governing Equations
2025/02/25 by Adeel Pervez, Efstratios Gavves, Pervez, Adeel +3 · 1 citation
Engineering · Computer Science · #Advanced Control Systems Optimization #Process Optimization and Integration #Neural Networks and Applications
- Competitive Training of Mixtures of Independent Deep Generative Models
2018/04/30 by Francesco Locatello, Locatello, Francesco, Damien Vincent +9 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #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) #Machine Learning and Data Classification
- Greedy Algorithms for Cone Constrained Optimization with Convergence\n Guarantees
2017/05/31 by Francesco Locatello, Locatello, Francesco, Michael Tschannen +5 · 1 citation
Computer Science · Decision Sciences · Engineering · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques