Nabeel Seedat

1. Large Language Models to Enhance Bayesian Optimization
   2024/02/06 by Tennison Liu, Nicolás Astorga, Liu, Tennison +5 · 31 citations
   Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Natural Language Processing Techniques #Topic Modeling
2. Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations
   2022/06/16 by Nabeel Seedat, Seedat, Nabeel, Fergus Imrie +7 · 10 citations
   Computer Science · Mathematics · #Advanced Causal Inference Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #Mathematical Biology Tumor Growth
3. Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A Comprehensive Benchmark
   2023/10/25 by Lasse Hansen, Nabeel Seedat, Hansen, Lasse +5 · 8 citations
   Computer Science · Engineering · #Data Management and Algorithms #FOS: Computer and information sciences #Image Processing and 3D Reconstruction #Machine Learning (cs.LG) #Traffic Prediction and Management Techniques
4. Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test Data
   2023/10/25 by Boris van Breugel, van Breugel, Boris, Nabeel Seedat +5 · 4 citations
   Computer Science · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare #Topic Modeling
5. Dissecting Sample Hardness: A Fine-Grained Analysis of Hardness Characterization Methods for Data-Centric AI
   2024/03/07 by Nabeel Seedat, Seedat, Nabeel, Fergus Imrie +3 · 5 citations
   Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Neural Networks and Applications
6. Data-SUITE: Data-centric identification of in-distribution incongruous examples
   2022/02/17 by Nabeel Seedat, Jonathan Crabbé, Seedat, Nabeel +3 · 2 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Machine Learning in Healthcare
7. Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise
   2024/06/05 by Thomas Pouplin, Pouplin, Thomas, Alan Jeffares +5 · 3 citations
   Computer Science · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
8. Towards calibrated and scalable uncertainty representations for neural networks
   2019/10/28 by Nabeel Seedat, Seedat, Nabeel, Christopher Kanan +1 · 1 citation
   Computer Science · Physics and Astronomy · #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks
9. MCU-Net: A framework towards uncertainty representations for decision support system patient referrals in healthcare contexts
   2020/07/08 by Nabeel Seedat, Seedat, Nabeel · 1 citation
   Biochemistry, Genetics and Molecular Biology · Computer Science · Health Professions · #Biomedical Text Mining and Ontologies #Computer Vision and Pattern Recognition (cs.CV) #Electronic Health Records Systems #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Semantic Web and Ontologies
10. What is Flagged in Uncertainty Quantification? Latent Density Models for Uncertainty Categorization
    2022/07/11 by Hao Sun, Boris van Breugel, Sun, Hao +7 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
11. You can't handle the (dirty) truth: Data-centric insights improve pseudo-labeling
    2024/06/19 by Nabeel Seedat, Nicolas Huynh, Seedat, Nabeel +5 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
12. Self-Healing Machine Learning: A Framework for Autonomous Adaptation in Real-World Environments
    2024/10/31 by Paulius Rauba, Rauba, Paulius, Nabeel Seedat +5 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG)