Prabhant Singh

According to our database, Prabhant Singh authored at least 18 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Automated Machine Learning for Unsupervised Tabular Tasks.

Prabhant Singh, Pieter Gijsbers, Elif Ceren Gok Yildirim, Murat Onur Yildirim, Joaquin Vanschoren

CoRR, October, 2025

How NOT to benchmark your SITE metric: Beyond Static Leaderboards and Towards Realistic Evaluation.

Prabhant Singh, Sibylle Hess, Joaquin Vanschoren

CoRR, October, 2025

Meta-Learning Transformers to Improve In-Context Generalization.

Lorenzo Braccaioli, Anna Vettoruzzo, Prabhant Singh, Joaquin Vanschoren, Mohamed-Rafik Bouguelia, Nicola Conci

CoRR, July, 2025

openml/OpenML-Paper-Impact-Analysis: v1.0.4 - Code Release for paper "OpenML: Insights from ten years and more than a thousand papers".

Bernd Bischl, Giuseppe Casalicchio, Taniya Das, Matthias Feurer, Sebastian Fischer, Pieter Gijsbers, Subhaditya Mukherjee, Andreas C. Mueller, László Németh, Luis Oala, Lennart Oswald Purucker, Ravi Sahithaya, Jan N. van Rijn, Prabhant Singh, Joaquin Vanschoren, Jos van der Velde, Marcel Wever

Dataset, May, 2025

Occam's model: Selecting simpler representations for better transferability estimation.

Prabhant Singh, Sibylle Hess, Joaquin Vanschoren

CoRR, February, 2025

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, László Németh, Luis Oala, Lennart Purucker, Sahithya Ravi, Jan N. van Rijn, Prabhant Singh, Joaquin Vanschoren, Jos van der Velde, Marcel Wever

Patterns, 2025

Analysis of Transferability Estimation Metrics for Surgical Phase Recognition.

Prabhant Singh, Yiping Li, Yasmina Al Khalil

Proceedings of the Data Engineering in Medical Imaging - Third MICCAI Workshop, 2025

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., September, 2024

On dataset transferability in medical image classification.

Dovile Juodelyte, Enzo Ferrante, Yucheng Lu, Prabhant Singh, Joaquin Vanschoren, Veronika Cheplygina

CoRR, 2024

Robust and Efficient Transfer Learning via Supernet Transfer in Warm-started Neural Architecture Search.

Prabhant Singh, Joaquin Vanschoren

CoRR, 2024

CLAMS: A System for Zero-Shot Model Selection for Clustering.

Prabhant Singh, Pieter Gijsbers, Murat Onur Yildirim, Elif Ceren Gok, Joaquin Vanschoren

CoRR, 2024

2023

Online AutoML: an adaptive AutoML framework for online learning.

Bilge Celik, Prabhant Singh, Joaquin Vanschoren

Mach. Learn., June, 2023

AutoML for Outlier Detection with Optimal Transport Distances.

Prabhant Singh, Joaquin Vanschoren

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

Automated Imbalanced Learning.

Prabhant Singh, Joaquin Vanschoren

CoRR, 2022

Meta-Learning for Unsupervised Outlier Detection with Optimal Transport.

Prabhant Singh, Joaquin Vanschoren

CoRR, 2022

EmProx: Neural Network Performance Estimation For Neural Architecture Search.

G. G. H. Franken, Prabhant Singh, Joaquin Vanschoren

CoRR, 2022

Faster Performance Estimation for NAS with Embedding Proximity Score.

Gideon Franken, Prabhant Singh, Joaquin Vanschoren

Proceedings of the ECML/PKDD Workshop on Meta-Knowledge Transfer, 2022

2019

A Study of the Learning Progress in Neural Architecture Search Techniques.

Prabhant Singh, Tobias Jacobs, Sebastien Nicolas, Mischa Schmidt

CoRR, 2019