Krishna Khadka

According to our database, Krishna Khadka authored at least 8 papers between 2023 and 2026.

Collaborative distances:

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

2026

TabKD: Tabular Knowledge Distillation through Interaction Diversity of Learned Feature Bins.

Shovon Niverd Pereira, Krishna Khadka, Yu Lei

CoRR, March, 2026

DD-CAM: Minimal Sufficient Explanations for Vision Models Using Delta Debugging.

Krishna Khadka, Yu Lei, Raghu N. Kacker, D. Richard Kuhn

CoRR, February, 2026

A Combinatorial Approach to Synthetic Data Generation for Machine Learning.

Krishna Khadka, Jaganmohan Chandrasekaran, Yu Lei, Raghu Kacker, D. Richard Kuhn

SN Comput. Sci., January, 2026

ABLE: Using Adversarial Pairs to Construct Local Models for Explaining Model Predictions.

Krishna Khadka, Sunny Shree, Pujan Budhathoki, Yu Lei, Raghu Kacker, D. Richard Kuhn

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

2024

Constructing Surrogate Models in Machine Learning Using Combinatorial Testing and Active Learning.

Sunny Shree, Krishna Khadka, Yu Lei, Raghu N. Kacker, D. Richard Kuhn

Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

Assessing the Degree of Feature Interactions that Determine a Model Prediction.

Krishna Khadka, Sunny Shree, Yu Lei, Raghu N. Kacker, D. Richard Kuhn

Proceedings of the IEEE International Conference on Software Testing, Verification and Validation, ICST 2024, 2024

A Combinatorial Approach to Hyperparameter Optimization.

Krishna Khadka, Jaganmohan Chandrasekaran, Yu Lei, Raghu N. Kacker, D. Richard Kuhn

Proceedings of the IEEE/ACM 3rd International Conference on AI Engineering, 2024

2023

Synthetic Data Generation Using Combinatorial Testing and Variational Autoencoder.

Krishna Khadka, Jaganmohan Chandrasekaran, Yu Lei, Raghu N. Kacker, D. Richard Kuhn

Proceedings of the IEEE International Conference on Software Testing, Verification and Validation, ICST 2023, 2023