Akash Kumar

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Bibliography

2026
MCEL: Margin-Based Cross-Entropy Loss for Error-Tolerant Quantized Neural Networks.
CoRR, March, 2026

A Gap Between Decision Trees and Neural Networks.
CoRR, January, 2026

Scheduling for TWDM-EPON-Based Fronthaul Without a Dedicated Registration Wavelength.
CoRR, January, 2026

UCRS: Uncertainty-Calibrated Region Sampling for Real-Time Small Object Detection in High-Resolution Images.
Proceedings of the National Conference on Communications, 2026

Prevention of Bitcoin Loot in Bitcoin Lightning Network.
Proceedings of the 12th International Conference on Information Systems Security and Privacy, 2026

2025
Queueing Network Topology Inference Using Passive and Active Measurements.
IEEE Trans. Netw., December, 2025

Application of machine learning to predict food processing level using Open Food Facts.
CoRR, December, 2025

Stress can be detected during emotion-evoking smartphone use: a pilot study using machine learning.
Frontiers Digit. Health, 2025

AB-STE: Adaptive Blended Gradient Estimation for Efficient Binarized Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2025

In-Memory Computing Architecture for Tsetlin Machine Inference using MTJ-based Crossbar.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

The Complexity of Learning Sparse Superposed Features with Feedback.
Proceedings of the Forty-second International Conference on Machine Learning, 2025


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