Eastwood, Cian
- GIVT: Generative Infinite-Vocabulary Transformers
2023/12/04 by Michael Tschannen, Cian Eastwood, Tschannen, Michael +3 · 2 voices · 16 citations
#cs.CV
- Learning Object-Centric Representations of Multi-Object Scenes from Multiple Views
2021/11/13 by Nanbo, Li, Eastwood, Cian, Fisher, Robert B. · 3 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- DCI-ES: An Extended Disentanglement Framework with Connections to Identifiability
2022/10/01 by Cian Eastwood, Andrei Liviu Nicolicioiu, Eastwood, Cian +11 · 2 citations
Computer Science · Materials Science · #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 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science
- Self-Supervised Disentanglement by Leveraging Structure in Data Augmentations
2023/11/15 by Cian Eastwood, Julius von Kügelgen, Eastwood, Cian +11 · 2 citations
Computer Science · #AI in cancer detection #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 #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Source-Free Adaptation to Measurement Shift via Bottom-Up Feature Restoration
2021/07/12 by Cian Eastwood, Ian Mason, Eastwood, Cian +5 · 1 citation
Biochemistry, Genetics and Molecular Biology · Computer Science · Medicine · #Artificial Intelligence (cs.AI) #COVID-19 diagnosis using AI #Cancer-related molecular mechanisms research #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) #Multimodal Machine Learning Applications
- Probable Domain Generalization via Quantile Risk Minimization
2022/07/20 by Eastwood, Cian, Robey, Alexander, Singh, Shashank +4 · 1 citation
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Spuriosity Didn't Kill the Classifier: Using Invariant Predictions to Harness Spurious Features
2023/07/19 by Cian Eastwood, Eastwood, Cian, Shashank Kumar Singh +9 · 1 citation
Computer Science · #Machine Learning and Data Classification #Domain Adaptation and Few-Shot Learning #Anomaly Detection Techniques and Applications
- TxPert: Leveraging Biochemical Relationships for Out-of-Distribution Transcriptomic Perturbation Prediction
2025/05/20 by Frederik Wenkel, Wenkel, Frederik, Wilson Tu +26 · 3 citations
Biochemistry, Genetics and Molecular Biology · #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Molecular Biology Techniques and Applications #Quantitative Methods (q-bio.QM) #RNA Research and Splicing #RNA and protein synthesis mechanisms
- Towards scientific discovery with dictionary learning: Extracting biological concepts from microscopy foundation models
2024/12/20 by Donhauser, Konstantin, Ulicna, Kristina, Moran, Gemma Elyse +4 · 1 citation
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)