Nabeel Seedat - RankMe

61 papers A* 17A 2Journal 39Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Guideline-Grounded Evidence Accumulation for High-Stakes Agent Verification. CoRR Yichi Zhang, Nabeel Seedat, Yinpeng Dong, Peng Cui, Jun Zhu, Mihaela van der Schaar
2025	—	`conf`	Beyond Pointwise Scores: Decomposed Criteria-Based Evaluation of LLM Responses. EMNLP (Industry Track) Fangyi Yu, Nabeel Seedat, Drahomira Herrmannova, Frank Schilder, Jonathan Richard Schwarz
2025	J	`jnl`	Beyond Pointwise Scores: Decomposed Criteria-Based Evaluation of LLM Responses. CoRR Fangyi Yu, Nabeel Seedat, Dasha Herrmannova, Frank Schilder, Jonathan Richard Schwarz
2025	A*	`conf`	Bootstrapping Self-Improvement of Language Model Programs for Zero-Shot Schema Matching. ICML Nabeel Seedat, Mihaela van der Schaar
2025	A*	`conf`	Going Beyond Static: Understanding Shifts with Time-Series Attribution. ICLR Jiashuo Liu, Nabeel Seedat, Peng Cui, Mihaela van der Schaar
2025	J	`jnl`	Scales++: Compute Efficient Evaluation Subset Selection with Cognitive Scales Embeddings. CoRR Andrew M. Bean, Nabeel Seedat, Shengzhuang Chen, Jonathan Richard Schwarz
2025	J	`jnl`	Towards Human-Guided, Data-Centric LLM Co-Pilots. CoRR Evgeny Saveliev, Jiashuo Liu, Nabeel Seedat, Anders Boyd, Mihaela van der Schaar
2025	J	`jnl`	Towards Human-Guided, Data-Centric LLM Co-Pilots. J. Data-centric Mach. Learn. Res. Evgeny Saveliev, Jiashuo Liu, Nabeel Seedat, Anders Boyd, Mihaela van der Schaar
2025	J	`jnl`	What's the next frontier for Data-centric AI? Data Savvy Agents. CoRR Nabeel Seedat, Jiashuo Liu, Mihaela van der Schaar
2024	A*	`conf`	Active Learning with LLMs for Partially Observed and Cost-Aware Scenarios. NeurIPS Nicolás Astorga, Tennison Liu, Nabeel Seedat, Mihaela van der Schaar
2024	A*	`conf`	Context-Aware Testing: A New Paradigm for Model Testing with Large Language Models. NeurIPS Paulius Rauba, Nabeel Seedat, Max Ruiz Luyten, Mihaela van der Schaar
2024	J	`jnl`	Context-Aware Testing: A New Paradigm for Model Testing with Large Language Models. CoRR Paulius Rauba, Nabeel Seedat, Max Ruiz Luyten, Mihaela van der Schaar
2024	A*	`conf`	Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in low-data regimes. ICML Nabeel Seedat, Nicolas Huynh, Boris van Breugel, Mihaela van der Schaar
2024	A	`conf`	DAGnosis: Localized Identification of Data Inconsistencies using Structures. AISTATS Nicolas Huynh, Jeroen Berrevoets, Nabeel Seedat, Jonathan Crabbé, Zhaozhi Qian, Mihaela van der Schaar
2024	J	`jnl`	DAGnosis: Localized Identification of Data Inconsistencies using Structures. CoRR Nicolas Huynh, Jeroen Berrevoets, Nabeel Seedat, Jonathan Crabbé, Zhaozhi Qian, Mihaela van der Schaar
2024	A*	`conf`	Dissecting Sample Hardness: A Fine-Grained Analysis of Hardness Characterization Methods for Data-Centric AI. ICLR Nabeel Seedat, Fergus Imrie, Mihaela van der Schaar
2024	J	`jnl`	Dissecting Sample Hardness: A Fine-Grained Analysis of Hardness Characterization Methods for Data-Centric AI. CoRR Nabeel Seedat, Fergus Imrie, Mihaela van der Schaar
2024	J	`jnl`	Generalization - a key challenge for responsible AI in patient-facing clinical applications. npj Digit. Medicine Lea Goetz, Nabeel Seedat, Robert Vandersluis, Mihaela van der Schaar
2024	A*	`conf`	Large Language Models to Enhance Bayesian Optimization. ICLR Tennison Liu, Nicolás Astorga, Nabeel Seedat, Mihaela van der Schaar
2024	J	`jnl`	Large Language Models to Enhance Bayesian Optimization. CoRR Tennison Liu, Nicolás Astorga, Nabeel Seedat, Mihaela van der Schaar
2024	J	`jnl`	Matchmaker: Self-Improving Large Language Model Programs for Schema Matching. CoRR Nabeel Seedat, Mihaela van der Schaar
2024	J	`jnl`	Modeling disagreement in automatic data labeling for semi-supervised learning in Clinical Natural Language Processing. Frontiers Artif. Intell. Hongshu Liu, Nabeel Seedat, Julia Ive
2024	J	`jnl`	Navigating Data-Centric Artificial Intelligence With DC-Check: Advances, Challenges, and Opportunities. IEEE Trans. Artif. Intell. Nabeel Seedat, Fergus Imrie, Mihaela van der Schaar
2024	A*	`conf`	Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise. ICML Thomas Pouplin, Alan Jeffares, Nabeel Seedat, Mihaela van der Schaar
2024	J	`jnl`	Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise. CoRR Thomas Pouplin, Alan Jeffares, Nabeel Seedat, Mihaela van der Schaar
2024	A*	`conf`	Self-Healing Machine Learning: A Framework for Autonomous Adaptation in Real-World Environments. NeurIPS Paulius Rauba, Nabeel Seedat, Krzysztof Kacprzyk, Mihaela van der Schaar
2024	J	`jnl`	Self-Healing Machine Learning: A Framework for Autonomous Adaptation in Real-World Environments. CoRR Paulius Rauba, Nabeel Seedat, Krzysztof Kacprzyk, Mihaela van der Schaar
2024	J	`jnl`	U-PASS: An uncertainty-guided deep learning pipeline for automated sleep staging. Comput. Biol. Medicine Elisabeth R. M. Heremans, Nabeel Seedat, Bertien Buyse, Dries Testelmans, Mihaela van der Schaar, Maarten De Vos
2024	J	`jnl`	Unlocking Historical Clinical Trial Data with ALIGN: A Compositional Large Language Model System for Medical Coding. CoRR Nabeel Seedat, Caterina Tozzi, Andrea Hita Ardiaca, Mihaela van der Schaar, James Weatherall, Adam Taylor
2024	J	`jnl`	When is Off-Policy Evaluation (Reward Modeling) Useful in Contextual Bandits? A Data-Centric Perspective. J. Data-centric Mach. Learn. Res. Hao Sun, Alex James Chan, Nabeel Seedat, Alihan Hüyük, Mihaela van der Schaar
2024	J	`jnl`	You can't handle the (dirty) truth: Data-centric Insights Improve Pseudo-Labeling. J. Data-centric Mach. Learn. Res. Nabeel Seedat, Nicolas Huynh, Fergus Imrie, Mihaela van der Schaar
2024	J	`jnl`	You can't handle the (dirty) truth: Data-centric insights improve pseudo-labeling. CoRR Nabeel Seedat, Nicolas Huynh, Fergus Imrie, Mihaela van der Schaar
2023	A*	`conf`	Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test Data. NeurIPS Boris van Breugel, Nabeel Seedat, Fergus Imrie, Mihaela van der Schaar
2023	J	`jnl`	Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test Data. CoRR Boris van Breugel, Nabeel Seedat, Fergus Imrie, Mihaela van der Schaar
2023	J	`jnl`	Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in ultra low-data regimes. CoRR Nabeel Seedat, Nicolas Huynh, Boris van Breugel, Mihaela van der Schaar
2023	A*	`conf`	Differentiable and Transportable Structure Learning. ICML Jeroen Berrevoets, Nabeel Seedat, Fergus Imrie, Mihaela van der Schaar
2023	A	`conf`	Improving Adaptive Conformal Prediction Using Self-Supervised Learning. AISTATS Nabeel Seedat, Alan Jeffares, Fergus Imrie, Mihaela van der Schaar
2023	J	`jnl`	Improving Adaptive Conformal Prediction Using Self-Supervised Learning. CoRR Nabeel Seedat, Alan Jeffares, Fergus Imrie, Mihaela van der Schaar
2023	A*	`conf`	Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A Comprehensive Benchmark. NeurIPS Lasse Hansen, Nabeel Seedat, Mihaela van der Schaar, Andrija Petrovic
2023	J	`jnl`	Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A Comprehensive Benchmark. CoRR Lasse Hansen, Nabeel Seedat, Mihaela van der Schaar, Andrija Petrovic
2023	A*	`conf`	TRIAGE: Characterizing and auditing training data for improved regression. NeurIPS Nabeel Seedat, Jonathan Crabbé, Zhaozhi Qian, Mihaela van der Schaar
2023	J	`jnl`	TRIAGE: Characterizing and auditing training data for improved regression. CoRR Nabeel Seedat, Jonathan Crabbé, Zhaozhi Qian, Mihaela van der Schaar
2023	J	`jnl`	U-PASS: an Uncertainty-guided deep learning Pipeline for Automated Sleep Staging. CoRR Elisabeth R. M. Heremans, Nabeel Seedat, Bertien Buyse, Dries Testelmans, Mihaela van der Schaar, Maarten De Vos
2023	A*	`conf`	What is Flagged in Uncertainty Quantification? Latent Density Models for Uncertainty Categorization. NeurIPS Hao Sun, Boris van Breugel, Jonathan Crabbé, Nabeel Seedat, Mihaela van der Schaar
2023	J	`jnl`	When is Off-Policy Evaluation Useful? A Data-Centric Perspective. CoRR Hao Sun, Alex J. Chan, Nabeel Seedat, Alihan Hüyük, Mihaela van der Schaar
2022	A*	`conf`	Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations. ICML Nabeel Seedat, Fergus Imrie, Alexis Bellot, Zhaozhi Qian, Mihaela van der Schaar
2022	J	`jnl`	Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations. CoRR Nabeel Seedat, Fergus Imrie, Alexis Bellot, Zhaozhi Qian, Mihaela van der Schaar
2022	J	`jnl`	DAUX: a Density-based Approach for Uncertainty eXplanations. CoRR Hao Sun, Boris van Breugel, Jonathan Crabbé, Nabeel Seedat, Mihaela van der Schaar
2022	J	`jnl`	DC-Check: A Data-Centric AI checklist to guide the development of reliable machine learning systems. CoRR Nabeel Seedat, Fergus Imrie, Mihaela van der Schaar
2022	A*	`conf`	Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data. NeurIPS Nabeel Seedat, Jonathan Crabbé, Ioana Bica, Mihaela van der Schaar
2022	J	`jnl`	Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data. CoRR Nabeel Seedat, Jonathan Crabbé, Ioana Bica, Mihaela van der Schaar
2022	A*	`conf`	Data-SUITE: Data-centric identification of in-distribution incongruous examples. ICML Nabeel Seedat, Jonathan Crabbé, Mihaela van der Schaar
2022	J	`jnl`	Data-SUITE: Data-centric identification of in-distribution incongruous examples. CoRR Nabeel Seedat, Jonathan Crabbé, Mihaela van der Schaar
2022	J	`jnl`	Differentiable and Transportable Structure Learning. CoRR Jeroen Berrevoets, Nabeel Seedat, Fergus Imrie, Mihaela van der Schaar
2022	J	`jnl`	Modeling Disagreement in Automatic Data Labelling for Semi-Supervised Learning in Clinical Natural Language Processing. CoRR Hongshu Liu, Nabeel Seedat, Julia Ive
2020	—	`conf`	Automated machine vision enabled detection of movement disorders from hand drawn spirals. ICHI Nabeel Seedat, Vered Aharonson, Ilana Schlesinger
2020	J	`jnl`	Automated machine vision enabled detection of movement disorders from hand drawn spirals. CoRR Nabeel Seedat, Vered Aharonson, Ilana Schlesinger
2020	J	`jnl`	MCU-Net: A framework towards uncertainty representations for decision support system patient referrals in healthcare contexts. CoRR Nabeel Seedat
2020	J	`jnl`	Machine learning discrimination of Parkinson's Disease stages from walker-mounted sensors data. CoRR Nabeel Seedat, Vered Aharonson
2019	J	`jnl`	Towards calibrated and scalable uncertainty representations for neural networks. CoRR Nabeel Seedat, Christopher Kanan
2018	—	`conf`	Custom Force Sensor and Sensory Feedback System to Enable Grip Control of a Robotic Prosthetic Hand. BioRob Nabeel Seedat, Irfaan Mohamed, Abdul-Khaaliq Mohamed