Vishal S. Ngairangbam

According to our database, Vishal S. Ngairangbam authored at least 8 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2026

From Reachability to Learnability: Geometric Design Principles for Quantum Neural Networks.

Vishal S. Ngairangbam, Michael Spannowsky

CoRR, March, 2026

2025

Stable and Interpretable Jet Physics with IRC-Safe Equivariant Feature Extraction.

Partha Konar, Vishal S. Ngairangbam, Michael Spannowsky, Deepanshu Srivastava

CoRR, September, 2025

Improved Ground State Estimation in Quantum Field Theories via Normalising Flow-Assisted Neural Quantum States.

Vishal S. Ngairangbam, Michael Spannowsky, Timur Sypchenko

CoRR, June, 2025

Enhancing anomaly detection with topology-aware autoencoders.

Vishal S. Ngairangbam, Blazej Rozwoda, Kazuki Sakurai, Michael Spannowsky

Mach. Learn. Sci. Technol., 2025

Optimal equivariant architectures from the symmetries of matrix-element likelihoods.

Daniel Maître, Vishal S. Ngairangbam, Michael Spannowsky

Mach. Learn. Sci. Technol., 2025

2024

Optimal Symmetries in Binary Classification.

Vishal S. Ngairangbam, Michael Spannowsky

CoRR, 2024

2022

IRC-Safe Graph Autoencoder for Unsupervised Anomaly Detection.

Oliver Atkinson, Akanksha Bhardwaj, Christoph Englert, Partha Konar, Vishal S. Ngairangbam, Michael Spannowsky

Frontiers Artif. Intell., 2022

IRC-safe Graph Autoencoder for an unsupervised anomaly detection.

Oliver Atkinson, Akanksha Bhardwaj, Christoph Englert, Partha Konar, Vishal S. Ngairangbam, Michael Spannowsky

CoRR, 2022