Shriyank Somvanshi

Orcid: 0009-0008-3723-0607

According to our database1, Shriyank Somvanshi authored at least 19 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Bridging the Black Box: A Survey on Mechanistic Interpretability in AI.
ACM Comput. Surv., June, 2026

From Tiny Machine Learning to Tiny Deep Learning: A Survey.
ACM Comput. Surv., May, 2026

A Survey on Kolmogorov-Arnold Network.
ACM Comput. Surv., January, 2026

Image-Based Crash Severity Analysis: Transforming Tabular Data Using Convolutional Neural Networks.
IEEE Access, 2026

2025
Post-Quantum Cryptography and Quantum-Safe Security: A Comprehensive Survey.
CoRR, October, 2025

Model Context Protocols in Adaptive Transport Systems: A Survey.
CoRR, August, 2025

ST-GraphNet: A Spatio-Temporal Graph Neural Network for Understanding and Predicting Automated Vehicle Crash Severity.
CoRR, June, 2025

A Comprehensive Survey on Bio-Inspired Algorithms: Taxonomy, Applications, and Future Directions.
CoRR, June, 2025

Applying MambaAttention, TabPFN, and TabTransformers to Classify SAE Automation Levels in Crashes.
CoRR, June, 2025

A Survey on Structured State Space Sequence (S4) Models.
CoRR, March, 2025

ST-GraphNet: A Spatio-Temporal Graph Neural Network for Understanding and Predicting Automated Vehicle Crash Severity.
Proceedings of the 1st ACM SIGSPATIAL International Workshop on Spatial Intelligence for Smart and Connected Communities, 2025

Applying Tabular Deep Learning Models to Estimate Crash Injury Types of Young Motorcyclists.
Proceedings of the IEEE Conference on Artificial Intelligence, 2025

A Survey on Generative AI in Transportation Systems Management and Operation.
Proceedings of the IEEE Conference on Artificial Intelligence, 2025

Crash Severity Analysis of Child Bicyclists Using Arm-Net and Mambanet.
Proceedings of the IEEE Conference on Artificial Intelligence, 2025

Comparative Analysis of Advanced AI-Based Object Detection Models for Pavement Marking Quality Assessment During Daytime.
Proceedings of the IEEE Conference on Artificial Intelligence, 2025

Tabular Data with Class Imbalance: Predicting Electric Vehicle Crash Severity with Pretrained Transformers (TabPFN) and Mamba-Based Models.
Proceedings of the International Conference on Machine Learning and Applications, 2025

Unmasking Vehicle Automation-Severity Interactions Through Multimodal Association Rules Mining.
Proceedings of the IEEE International Conference on Data Mining, 2025

2024
A Survey on Deep Tabular Learning.
CoRR, 2024

2023
Wind Speed Forecasting for Designing Sustainable Wastewater Treatment Plants.
Proceedings of the 13th IEEE Annual Computing and Communication Workshop and Conference, 2023


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