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Home/Authors/Nabeel Seedat

Nabeel Seedat

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 15, 2026, 3:22 PM AMS

10

papers

313

total citations

papers (10)

Large Language Models to Enhance Bayesian Optimization

Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in low-data regimes

Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test Data

NEURIPS 2023arXiv

Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data

NEURIPS 2022arXiv

Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A Comprehensive Benchmark

NEURIPS 2023arXiv

Dissecting Sample Hardness: A Fine-Grained Analysis of Hardness Characterization Methods for Data-Centric AI

TRIAGE: Characterizing and auditing training data for improved regression

NEURIPS 2023arXiv

Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise

What is Flagged in Uncertainty Quantification? Latent Density Models for Uncertainty Categorization

NEURIPS 2023arXiv

Going Beyond Static: Understanding Shifts with Time-Series Attribution