A Study of the Learning Progress in Neural Architecture Search Techniques. - Prabhant Singh; Tobias Jacobs; Sebastien Nicolas; Mischa Schmidt (CoRR, 2019)

Faster Performance Estimation for NAS with Embedding Proximity Score. - Gideon Franken; Prabhant Singh; Joaquin Vanschoren (Meta-Knowledge Transfer @ ECML/PKDD, 2022)

EmProx: Neural Network Performance Estimation For Neural Architecture Search. - G. G. H. Franken; Prabhant Singh; Joaquin Vanschoren (CoRR, 2022)

Meta-Learning for Unsupervised Outlier Detection with Optimal Transport. - Prabhant Singh; Joaquin Vanschoren (CoRR, 2022)

Automated Imbalanced Learning. - Prabhant Singh; Joaquin Vanschoren (CoRR, 2022)

AutoML for Outlier Detection with Optimal Transport Distances. - Prabhant Singh; Joaquin Vanschoren (IJCAI, 2023)

Online AutoML: an adaptive AutoML framework for online learning. - Bilge Celik; Prabhant Singh; Joaquin Vanschoren (Mach. Learn., 2023)

CLAMS: A System for Zero-Shot Model Selection for Clustering. - Prabhant Singh; Pieter Gijsbers; Murat Onur Yildirim; Elif Ceren Gok; Joaquin Vanschoren (CoRR, 2024)

Robust and Efficient Transfer Learning via Supernet Transfer in Warm-started Neural Architecture Search. - Prabhant Singh; Joaquin Vanschoren (CoRR, 2024)

On dataset transferability in medical image classification. - Dovile Juodelyte; Enzo Ferrante; Yucheng Lu 002; Prabhant Singh; Joaquin Vanschoren; Veronika Cheplygina (CoRR, 2024)

Towards efficient AutoML: a pipeline synthesis approach leveraging pre-trained transformers for multimodal data. - Ambarish Moharil; Joaquin Vanschoren; Prabhant Singh; Damian A. Tamburri (Mach. Learn., 2024)

OpenML: Insights from 10 years and more than a thousand papers. - Bernd Bischl; Giuseppe Casalicchio; Taniya Das; Matthias Feurer; Sebastian Fischer; Pieter Gijsbers; Subhaditya Mukherjee; Andreas C. Müller 002; László Németh; Luis Oala; Lennart Purucker; Sahithya Ravi; et al. (Patterns, 2025)

Occam's model: Selecting simpler representations for better transferability estimation. - Prabhant Singh; Sibylle Hess; Joaquin Vanschoren (CoRR, 2025)

Meta-Learning Transformers to Improve In-Context Generalization. - Lorenzo Braccaioli; Anna Vettoruzzo; Prabhant Singh; Joaquin Vanschoren; Mohamed-Rafik Bouguelia; Nicola Conci (CoRR, 2025)