Ken Pathak

Orcid: 0009-0007-2782-4092

According to our database1, Ken Pathak authored at least 15 papers between 2024 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Towards Trustworthy AI: A Review of Ethical and Robust Large Language Models.
ACM Comput. Surv., May, 2026

EfficientPENet: Real-Time Depth Completion from Sparse LiDAR via Lightweight Multi-Modal Fusion.
CoRR, April, 2026

VeloxNet: Efficient Spatial Gating for Lightweight Embedded Image Classification.
CoRR, March, 2026

2025
Imbalance-Aware Culvert-Sewer Defect Segmentation Using an Enhanced Feature Pyramid Network.
IEEE Trans. Syst. Man Cybern. Syst., October, 2025

Attention-Enhanced Prototypical Learning for Few-Shot Infrastructure Defect Segmentation.
CoRR, October, 2025

KARMA: Efficient Structural Defect Segmentation via Kolmogorov-Arnold Representation Learning.
CoRR, August, 2025

Accelerating HEC-RAS: A Recurrent Neural Operator for Rapid River Forecasting.
CoRR, July, 2025

FORTRESS: Function-composition Optimized Real-Time Resilient Structural Segmentation via Kolmogorov-Arnold Enhanced Spatial Attention Networks.
CoRR, July, 2025

Physics-Informed Neural Network Surrogate Models for River Stage Prediction.
CoRR, March, 2025

SHARP-Net: A Refined Pyramid Network for Deficiency Segmentation in Culverts and Sewer Pipes.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

Widened Attention-Enhanced Atrous Convolutional Network for Efficient Embedded Vision Applications under Resource Constraints.
Adv. Intell. Syst., 2025

2024
Application of Deep Learning for Segmenting Seepages in Levee Systems.
Remote. Sens., July, 2024

SHARP-Net: A Refined Pyramid Network for Deficiency Segmentation in Culverts and Sewer Pipes.
CoRR, 2024

Towards Trustworthy AI: A Review of Ethical and Robust Large Language Models.
CoRR, 2024

KANICE: Kolmogorov-Arnold Networks with Interactive Convolutional Elements.
Proceedings of the 4th International Conference on AI-ML Systems, 2024


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