Ali Karkehabadi

Orcid: 0000-0001-6075-0880

According to our database1, Ali Karkehabadi authored at least 11 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
SaliencyDecor: Enhancing Neural Network Interpretability through Feature Decorrelation.
CoRR, April, 2026

2025
Competitive Task Offloading in Hierarchical Edge-Cloud Compute Continuum.
Proceedings of the IEEE Conference on Network Function Virtualization and Software-Defined Networking, 2025

Energy-Efficient Quantization-Aware Training with Dynamic Bit-Width Optimization.
Proceedings of the Great Lakes Symposium on VLSI 2025, GLSVLSI 2025, New Orleans, LA, USA, 30 June 2025, 2025

Unified Gravity Loss for Robust Neural Networks Through Feature Space Optimization.
Proceedings of the Great Lakes Symposium on VLSI 2025, GLSVLSI 2025, New Orleans, LA, USA, 30 June 2025, 2025

2024
Applying Machine Learning Tools for Urban Resilience Against Floods.
CoRR, 2024

FFCL: Forward-Forward Net with Cortical Loops, Training and Inference on Edge Without Backpropagation.
CoRR, 2024

Optimizing Underwater IoT Routing with Multi-Criteria Decision Making and Uncertainty Weights.
CoRR, 2024

FFCL: Forward-Forward Net with Cortical Loops, Training and Inference on Edge Without Backpropogation.
Proceedings of the Great Lakes Symposium on VLSI 2024, 2024

2023
SMOOT: Saliency Guided Mask Optimized Online Training.
CoRR, 2023

Does Saliency-Based Training bring Robustness for Deep Neural Networks in Image Classification?
CoRR, 2023

TM-vector: A Novel Forecasting Approach for Market stock movement with a Rich Representation of Twitter and Market data.
CoRR, 2023


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